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    "startedAt": "2026-10-15T14:55:36.170Z",
    "finishedAt": "2026-10-15T14:55:46.189Z",
    "status": "SUCCEEDED",
    "meta": {
      "origin": "CLI"
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    "inputSchema": "{\n  \"title\": \"Profile Lookup input\",\n  \"type\": \"object\",\n  \"schemaVersion\": 1,\n  \"properties\": {\n    \"profileUrls\": {\n      \"title\": \"Profile URLs\",\n      \"type\": \"array\",\n      \"editor\": \"stringList\",\n      \"description\": \"One public professional profile URL or bare profile handle per line. Unmatched profiles come back as free \\\"not_found\\\" rows.\",\n      \"prefill\": [\n        \"satyanadella\"\n      ],\n      \"maxItems\": 1000\n    },\n    \"contacts\": {\n      \"title\": \"Include emails & phones — $8.00 per 1,000 people with a contact\",\n      \"type\": \"boolean\",\n      \"description\": \"Adds recorded emails, phones and X, Facebook and GitHub links (the profile alone carries none). $8 per 1,000 people with a contact that reaches them today: a personal mailbox, an address at the current employer, a phone that is not a switchboard, or a social link. Everyone else ships at the $3.20 per 1,000 profile price.\",\n      \"default\": false\n    },\n    \"mustHave\": {\n      \"title\": \"Must have — needs \\\"Include emails & phones\\\" on\",\n      \"type\": \"array\",\n      \"editor\": \"select\",\n      \"description\": \"Deliver and charge only people who have all of these. A person who is found but lacks one comes back as a free \\\"missing_required\\\" row. Emails, phones and social profiles need \\\"Include emails & phones\\\".\",\n      \"items\": {\n        \"type\": \"string\",\n        \"enum\": [\n          \"email\",\n          \"personalEmail\",\n          \"workEmail\",\n          \"currentWorkEmail\",\n          \"phone\",\n          \"github\",\n          \"twitter\",\n          \"facebook\"\n        ],\n        \"enumTitles\": [\n          \"Any email address\",\n          \"Personal email (gmail, yahoo, ISP mail)\",\n          \"Work email (any company address)\",\n          \"Work email at the current employer\",\n          \"Direct phone (not a switchboard)\",\n          \"GitHub profile\",\n          \"Twitter / X profile\",\n          \"Facebook profile\"\n        ]\n      },\n      \"uniqueItems\": true\n    },\n    \"compact\": {\n      \"title\": \"Compact rows (for AI agents)\",\n      \"type\": \"boolean\",\n      \"description\": \"Returns a short row instead of the full record: identity, current role, location, the 5 latest positions, education, top skills and any contacts — about 2 KB per person instead of 10+ KB. Made for AI agents and LLM pipelines with a context limit. Same price. Off by default: a run returns the complete record.\",\n      \"default\": false\n    }\n  },\n  \"required\": [\n    \"profileUrls\"\n  ]\n}",
    "readme": "> **$3.20 per 1,000 complete profiles. Not found costs $0.** The standard row\n> is the whole career record: every position with dates and descriptions,\n> education, skills, certifications, patents and publications. Emails and\n> phones are an opt-in tier at $8 per 1,000 people who have one that works.\n\nTurn LinkedIn profile URLs into structured data. Paste links, bare handles\nor mobile URLs and get one row per profile, with the profile link, location\nand current employer in their own columns for spreadsheets.\n\nThis is a database lookup, not a live scrape: answers come back in seconds\nfrom a database of 800M+ professional profiles. No cookies, no login, no\naccount risk.\n\n## Why this one\n\n1. **The complete record at the standard price.** Every position with its\n   description, the whole education list, skills, languages,\n   certifications, patents, publications, articles.\n2. **You pay only for found.** Unmatched URLs are free `not_found` rows,\n   removed profiles free `profile_removed` rows.\n3. **Contacts priced by whether they work.** With `contacts` on you pay $8\n   per 1,000 only for people with a personal mailbox, an address at their\n   current employer, a phone or an X, Facebook or GitHub link. An old work address alone is charged\n   as a plain profile.\n\n## Who is this for\n\n- Sales and GTM teams enriching sign-ups and CRM contacts.\n- Recruiters turning sourced profile links into structured candidate data.\n- Data teams feeding scoring models with career histories.\n\n## Input\n\n```json\n{\n  \"profileUrls\": [\"satyanadella\", \"https://www.linkedin.com/in/williamhgates\"],\n  \"contacts\": false,\n  \"mustHave\": []\n}\n```\n\nLinks, bare handles and mobile URLs all work; spellings of the same\nprofile are looked up once.\n\n## Emails and phones: `contacts`\n\nTurn on `contacts` to get the recorded email addresses and phone numbers\nwith each profile. The best address and a phone are lifted into their own\ncolumns: `email`, `emailType` (`work` / `personal`), `employerMatch`,\n`workEmails`, `personalEmails`, `emailCount`, `phone`, `phones`.\n\nYou pay the contacts price, **$8 per 1,000**, only for a person with a\ncontact that reaches them today:\n\n- a personal mailbox (gmail, outlook, ISP mail);\n- an address on the domain of their **current** employer;\n- a phone number not flagged as a company switchboard;\n- an X, Facebook or GitHub link (other than one you looked the person up by).\n\nEveryone else is delivered at the $3.20 profile price, old work addresses\nincluded. The `_tier` column says which price each row was charged at.\nX, Facebook and GitHub links ship only with contacts; the profile alone\ncarries the professional profile URL and website.\n\nHow often that is, measured on 30 September 2026 over 200 employed\nprofessionals per country: the contacts price applied to 53% of people in\nthe US, 42% in India, 40% in France, 33% in the UK and 32% in Germany.\nEveryone else shipped at the lower price.\n\n## Only people who have what you need: `mustHave`\n\nList what a person must have for you to pay: `email`, `personalEmail`,\n`workEmail`, `currentWorkEmail`, `phone`, `github`, `twitter`, `facebook`.\nA person who is found but lacks one comes back as a free\n`missing_required` row that says what was missing (and names nobody).\nThe email, phone and social requirements\nneed `contacts` on, and a run that asks for them without it is refused\nbefore anything is charged.\n\n## Output\n\nOne row per profile, aligned with your list. A real row:\n\n```json\n{\n  \"_status\": \"found\",\n  \"_input\": { \"profile\": \"satyanadella\" },\n  \"_freshness\": \"fresh_90d\",\n  \"profileUrl\": \"https://www.linkedin.com/in/satyanadella\",\n  \"location\": \"Redmond, Washington, United States\",\n  \"countryCode\": \"us\",\n  \"companyName\": \"Microsoft\",\n  \"companySlug\": \"microsoft\",\n  \"_view\": \"lite-v4\",\n  \"slug\": \"satyanadella\",\n  \"fullName\": \"Satya Nadella\",\n  \"headline\": \"Chairman and CEO at Microsoft\",\n  \"jobTitle\": \"Chairman and CEO\",\n  \"industry\": \"Software Development\",\n  \"connectionsCount\": 500,\n  \"seniority\": { \"totalExperienceYears\": 12, \"currentTenureYears\": 12, \"averageTenureYears\": 7 },\n  \"experience\": {\n    \"work\": [\n      { \"title\": \"Chairman and CEO\", \"company\": \"Microsoft\", \"startDate\": \"2014-02-01\", \"endDate\": null },\n      { \"title\": \"Member Board Of Trustees\", \"company\": \"University of Chicago\", \"startDate\": \"2018-01-01\", \"endDate\": null }\n    ]\n  },\n  \"education\": [\n    { \"school\": \"University of Wisconsin-Milwaukee\", \"degreeName\": \"Master’s Degree\", \"fieldOfStudy\": \"Computer Science\" }\n  ],\n  \"contactInformation\": {\n    \"socialLinks\": { \"profileUrl\": \"https://www.linkedin.com/in/satyanadella\", \"twitterUrl\": null, \"githubUrl\": null }\n  }\n}\n```\n\n*(trimmed for display: the row also carries every past position with its\ndescription, `about`, `skills`, languages, certifications, patents,\npublications and articles whenever the profile has them)*\n\nWith `contacts` on, the same kind of row gains the contact columns\n(values below are made up):\n\n```json\n{\n  \"_status\": \"found\",\n  \"_tier\": \"contacts\",\n  \"fullName\": \"Jane Doe\",\n  \"companyName\": \"Acme\",\n  \"profileUrl\": \"https://www.linkedin.com/in/jane-doe-example\",\n  \"email\": \"jane.doe@acme.example\",\n  \"emailType\": \"work\",\n  \"employerMatch\": true,\n  \"workEmails\": [\"jane.doe@acme.example\", \"jdoe@oldjob.example\"],\n  \"personalEmails\": [\"jane.doe@example.com\"],\n  \"emailCount\": 3,\n  \"phone\": \"+15550100123\",\n  \"phones\": [{ \"number\": \"+15550100123\", \"sharedBy\": 1, \"companyLine\": false }]\n}\n```\n\nWhen the URL matched several records the row carries `_matchCandidates`.\n\nThe **Output tab** has three views: *Overview*, *Career & education* and\n*Contacts & signals*.\n\n## Pricing\n\n| Event | Price | When |\n|---|---|---|\n| Profile found | $0.0032 | matched URL, the complete career record |\n| Profile found (with contacts) | $0.008 | `contacts` on and a contact that reaches the person today |\n| Not found / removed / `missing_required` | **$0** | always free |\n\nPrices above are for Apify's Free and Starter plans. Scale plans pay 10%\nless and Business plans and up 20% less, applied by Apify automatically; the\nStore page quotes the lowest of these as \"from\".\n\nYour free $5 Apify credit is about 1,560 complete profiles.\n\n## FAQ\n\n**How fresh is the data?** Every row carries a `_freshness` bucket\n(`fresh_90d`, `updated_1y`, `older`) and the record's exact `updatedAt`.\n\n**Is there a size limit?** Up to 1,000 entries per run; the Actor paces\nitself and finishes in minutes. For bigger lists use\n[Bulk People Enrichment](https://apify.com/b2bsearch/bulk-people-enrichment).\n\n**What happens with a wrong or dead URL?** A free row with\n`_status: \"not_found\"` or `\"profile_removed\"` and your input echoed, so the\nspreadsheet stays aligned.\n\n## Use LinkedIn Profile Data by URL with AI agents and MCP\n\nThis Actor works as a tool for AI agents. Add it to Claude, ChatGPT, Cursor or any other MCP client through the Apify MCP server:\n\n```\nhttps://mcp.apify.com?tools=b2bsearch/profile-lookup\n```\n\n- **Fast enough for a tool call.** A small request finishes in seconds, so the agent gets its answer inside one call.\n- **The agent pays only for results.** Prices are per result (see the pricing section above) and every miss is a free row. Cap what one call may spend with `maxTotalChargeUsd`.\n- **Rows explain themselves.** Each row has a `_status`; a row that is not a result says why in `_error`, so the agent can decide what to do next without guessing.\n- **Compact rows for a context window.** `\"compact\": true` returns a short row — about 2 KB for a full profile instead of 10+ KB: identity, current role, the 5 latest positions, education, top skills and any contacts. Same price; leave it off to get the complete record.\n\nInput an agent can send as is:\n\n```json\n{\n  \"profileUrls\": [\n    \"satyanadella\"\n  ],\n  \"compact\": true\n}\n```\n\nThe same Actor is available as a tool in LangChain, CrewAI and the OpenAI Agents SDK, and as a step in n8n, Make and Zapier through the Apify integrations.\n\n## Which actor in this family?\n\nOne database, ten doors. Misses are free on every one of them.\n\n| Actor | Input → output |\n|---|---|\n| **Profile Lookup** (this one) | profile URL → full career profile |\n| [Reverse Email Lookup](https://apify.com/b2bsearch/reverse-email-lookup) | email → person, profile URL and employer |\n| [Name to Profile](https://apify.com/b2bsearch/name-to-profile) | name + company domain → profile |\n| [Social Handle Lookup](https://apify.com/b2bsearch/social-handle-lookup) | GitHub, X/Twitter or Facebook handle → profile |\n| [Bulk People Enrichment](https://apify.com/b2bsearch/bulk-people-enrichment) | CSV of emails, URLs, handles or names → profiles |\n| [LinkedIn Email Finder](https://apify.com/b2bsearch/linkedin-email-finder) | profile URL → email addresses on record |\n| [Work Email Finder](https://apify.com/b2bsearch/work-email-finder) | name + company domain → work email candidates |\n| [Company Employees](https://apify.com/b2bsearch/company-employees) | company domain → current staff |\n| [People Database Search](https://apify.com/b2bsearch/people-database-search) | filters → people |\n| [B2B Leads Finder](https://apify.com/b2bsearch/b2b-leads-finder) | filters → leads with a work or personal email, from $1.50/1k |\n| [Company Database Search](https://apify.com/b2bsearch/company-database-search) | filters → companies |\n\n## Free Apify plan\n\nA run started from a free Apify plan delivers the first 100 results and stops;\nthe run's status line says so. Any paid Apify plan lifts the cap. The rows are\nthe same rows a paid run returns.\n\n## Feedback and reviews\n\nHow did it go? A rating in the **Reviews** tab of this Actor tells the next\nbuyer what to expect; we read every word, good or bad. Got a wrong or stale\nrow? Open the **Issues** tab with the run ID. Issues are public, so leave out\nemails, phones and names; the run ID is enough for us to find the row. We\ncheck every report, fix what is ours to fix and answer in the thread.\n\n## Disclaimer\n\nThis Actor is an independent product. It is not affiliated with, endorsed by\nor sponsored by LinkedIn. It does not access, crawl or scrape any of them at\nrun time: answers come from our own database of publicly available\nprofessional data, and the network names only describe the kind of data it\ncovers. To have a person's data removed, open an issue on this Actor with only\nthe profile link — nothing else is needed, and it is removed from every listing.\n",
    "actorDefinition": {
      "actorSpecification": 1,
      "name": "profile-lookup",
      "title": "LinkedIn Profile Scraper — Full Career History, No Cookies",
      "description": "LinkedIn profile scraper alternative with no cookies. Profile URLs in, the complete career record out — every position with dates and descriptions, education, skills, certifications. $3.20 per 1,000 found (the most used profile scraper: $4); with emails & phones $8 (theirs: $10). Misses free.",
      "version": "0.1",
      "buildTag": "latest",
      "input": {
        "title": "Profile Lookup input",
        "type": "object",
        "schemaVersion": 1,
        "properties": {
          "profileUrls": {
            "title": "Profile URLs",
            "type": "array",
            "editor": "stringList",
            "description": "One public professional profile URL or bare profile handle per line. Unmatched profiles come back as free \"not_found\" rows.",
            "prefill": [
              "satyanadella"
            ],
            "maxItems": 1000
          },
          "contacts": {
            "title": "Include emails & phones — $8.00 per 1,000 people with a contact",
            "type": "boolean",
            "description": "Adds recorded emails, phones and X, Facebook and GitHub links (the profile alone carries none). $8 per 1,000 people with a contact that reaches them today: a personal mailbox, an address at the current employer, a phone that is not a switchboard, or a social link. Everyone else ships at the $3.20 per 1,000 profile price.",
            "default": false
          },
          "mustHave": {
            "title": "Must have — needs \"Include emails & phones\" on",
            "type": "array",
            "editor": "select",
            "description": "Deliver and charge only people who have all of these. A person who is found but lacks one comes back as a free \"missing_required\" row. Emails, phones and social profiles need \"Include emails & phones\".",
            "items": {
              "type": "string",
              "enum": [
                "email",
                "personalEmail",
                "workEmail",
                "currentWorkEmail",
                "phone",
                "github",
                "twitter",
                "facebook"
              ],
              "enumTitles": [
                "Any email address",
                "Personal email (gmail, yahoo, ISP mail)",
                "Work email (any company address)",
                "Work email at the current employer",
                "Direct phone (not a switchboard)",
                "GitHub profile",
                "Twitter / X profile",
                "Facebook profile"
              ]
            },
            "uniqueItems": true
          },
          "compact": {
            "title": "Compact rows (for AI agents)",
            "type": "boolean",
            "description": "Returns a short row instead of the full record: identity, current role, location, the 5 latest positions, education, top skills and any contacts — about 2 KB per person instead of 10+ KB. Made for AI agents and LLM pipelines with a context limit. Same price. Off by default: a run returns the complete record.",
            "default": false
          }
        },
        "required": [
          "profileUrls"
        ]
      },
      "readme": "> **$3.20 per 1,000 complete profiles. Not found costs $0.** The standard row\n> is the whole career record: every position with dates and descriptions,\n> education, skills, certifications, patents and publications. Emails and\n> phones are an opt-in tier at $8 per 1,000 people who have one that works.\n\nTurn LinkedIn profile URLs into structured data. Paste links, bare handles\nor mobile URLs and get one row per profile, with the profile link, location\nand current employer in their own columns for spreadsheets.\n\nThis is a database lookup, not a live scrape: answers come back in seconds\nfrom a database of 800M+ professional profiles. No cookies, no login, no\naccount risk.\n\n## Why this one\n\n1. **The complete record at the standard price.** Every position with its\n   description, the whole education list, skills, languages,\n   certifications, patents, publications, articles.\n2. **You pay only for found.** Unmatched URLs are free `not_found` rows,\n   removed profiles free `profile_removed` rows.\n3. **Contacts priced by whether they work.** With `contacts` on you pay $8\n   per 1,000 only for people with a personal mailbox, an address at their\n   current employer, a phone or an X, Facebook or GitHub link. An old work address alone is charged\n   as a plain profile.\n\n## Who is this for\n\n- Sales and GTM teams enriching sign-ups and CRM contacts.\n- Recruiters turning sourced profile links into structured candidate data.\n- Data teams feeding scoring models with career histories.\n\n## Input\n\n```json\n{\n  \"profileUrls\": [\"satyanadella\", \"https://www.linkedin.com/in/williamhgates\"],\n  \"contacts\": false,\n  \"mustHave\": []\n}\n```\n\nLinks, bare handles and mobile URLs all work; spellings of the same\nprofile are looked up once.\n\n## Emails and phones: `contacts`\n\nTurn on `contacts` to get the recorded email addresses and phone numbers\nwith each profile. The best address and a phone are lifted into their own\ncolumns: `email`, `emailType` (`work` / `personal`), `employerMatch`,\n`workEmails`, `personalEmails`, `emailCount`, `phone`, `phones`.\n\nYou pay the contacts price, **$8 per 1,000**, only for a person with a\ncontact that reaches them today:\n\n- a personal mailbox (gmail, outlook, ISP mail);\n- an address on the domain of their **current** employer;\n- a phone number not flagged as a company switchboard;\n- an X, Facebook or GitHub link (other than one you looked the person up by).\n\nEveryone else is delivered at the $3.20 profile price, old work addresses\nincluded. The `_tier` column says which price each row was charged at.\nX, Facebook and GitHub links ship only with contacts; the profile alone\ncarries the professional profile URL and website.\n\nHow often that is, measured on 30 September 2026 over 200 employed\nprofessionals per country: the contacts price applied to 53% of people in\nthe US, 42% in India, 40% in France, 33% in the UK and 32% in Germany.\nEveryone else shipped at the lower price.\n\n## Only people who have what you need: `mustHave`\n\nList what a person must have for you to pay: `email`, `personalEmail`,\n`workEmail`, `currentWorkEmail`, `phone`, `github`, `twitter`, `facebook`.\nA person who is found but lacks one comes back as a free\n`missing_required` row that says what was missing (and names nobody).\nThe email, phone and social requirements\nneed `contacts` on, and a run that asks for them without it is refused\nbefore anything is charged.\n\n## Output\n\nOne row per profile, aligned with your list. A real row:\n\n```json\n{\n  \"_status\": \"found\",\n  \"_input\": { \"profile\": \"satyanadella\" },\n  \"_freshness\": \"fresh_90d\",\n  \"profileUrl\": \"https://www.linkedin.com/in/satyanadella\",\n  \"location\": \"Redmond, Washington, United States\",\n  \"countryCode\": \"us\",\n  \"companyName\": \"Microsoft\",\n  \"companySlug\": \"microsoft\",\n  \"_view\": \"lite-v4\",\n  \"slug\": \"satyanadella\",\n  \"fullName\": \"Satya Nadella\",\n  \"headline\": \"Chairman and CEO at Microsoft\",\n  \"jobTitle\": \"Chairman and CEO\",\n  \"industry\": \"Software Development\",\n  \"connectionsCount\": 500,\n  \"seniority\": { \"totalExperienceYears\": 12, \"currentTenureYears\": 12, \"averageTenureYears\": 7 },\n  \"experience\": {\n    \"work\": [\n      { \"title\": \"Chairman and CEO\", \"company\": \"Microsoft\", \"startDate\": \"2014-02-01\", \"endDate\": null },\n      { \"title\": \"Member Board Of Trustees\", \"company\": \"University of Chicago\", \"startDate\": \"2018-01-01\", \"endDate\": null }\n    ]\n  },\n  \"education\": [\n    { \"school\": \"University of Wisconsin-Milwaukee\", \"degreeName\": \"Master’s Degree\", \"fieldOfStudy\": \"Computer Science\" }\n  ],\n  \"contactInformation\": {\n    \"socialLinks\": { \"profileUrl\": \"https://www.linkedin.com/in/satyanadella\", \"twitterUrl\": null, \"githubUrl\": null }\n  }\n}\n```\n\n*(trimmed for display: the row also carries every past position with its\ndescription, `about`, `skills`, languages, certifications, patents,\npublications and articles whenever the profile has them)*\n\nWith `contacts` on, the same kind of row gains the contact columns\n(values below are made up):\n\n```json\n{\n  \"_status\": \"found\",\n  \"_tier\": \"contacts\",\n  \"fullName\": \"Jane Doe\",\n  \"companyName\": \"Acme\",\n  \"profileUrl\": \"https://www.linkedin.com/in/jane-doe-example\",\n  \"email\": \"jane.doe@acme.example\",\n  \"emailType\": \"work\",\n  \"employerMatch\": true,\n  \"workEmails\": [\"jane.doe@acme.example\", \"jdoe@oldjob.example\"],\n  \"personalEmails\": [\"jane.doe@example.com\"],\n  \"emailCount\": 3,\n  \"phone\": \"+15550100123\",\n  \"phones\": [{ \"number\": \"+15550100123\", \"sharedBy\": 1, \"companyLine\": false }]\n}\n```\n\nWhen the URL matched several records the row carries `_matchCandidates`.\n\nThe **Output tab** has three views: *Overview*, *Career & education* and\n*Contacts & signals*.\n\n## Pricing\n\n| Event | Price | When |\n|---|---|---|\n| Profile found | $0.0032 | matched URL, the complete career record |\n| Profile found (with contacts) | $0.008 | `contacts` on and a contact that reaches the person today |\n| Not found / removed / `missing_required` | **$0** | always free |\n\nPrices above are for Apify's Free and Starter plans. Scale plans pay 10%\nless and Business plans and up 20% less, applied by Apify automatically; the\nStore page quotes the lowest of these as \"from\".\n\nYour free $5 Apify credit is about 1,560 complete profiles.\n\n## FAQ\n\n**How fresh is the data?** Every row carries a `_freshness` bucket\n(`fresh_90d`, `updated_1y`, `older`) and the record's exact `updatedAt`.\n\n**Is there a size limit?** Up to 1,000 entries per run; the Actor paces\nitself and finishes in minutes. For bigger lists use\n[Bulk People Enrichment](https://apify.com/b2bsearch/bulk-people-enrichment).\n\n**What happens with a wrong or dead URL?** A free row with\n`_status: \"not_found\"` or `\"profile_removed\"` and your input echoed, so the\nspreadsheet stays aligned.\n\n## Use LinkedIn Profile Data by URL with AI agents and MCP\n\nThis Actor works as a tool for AI agents. Add it to Claude, ChatGPT, Cursor or any other MCP client through the Apify MCP server:\n\n```\nhttps://mcp.apify.com?tools=b2bsearch/profile-lookup\n```\n\n- **Fast enough for a tool call.** A small request finishes in seconds, so the agent gets its answer inside one call.\n- **The agent pays only for results.** Prices are per result (see the pricing section above) and every miss is a free row. Cap what one call may spend with `maxTotalChargeUsd`.\n- **Rows explain themselves.** Each row has a `_status`; a row that is not a result says why in `_error`, so the agent can decide what to do next without guessing.\n- **Compact rows for a context window.** `\"compact\": true` returns a short row — about 2 KB for a full profile instead of 10+ KB: identity, current role, the 5 latest positions, education, top skills and any contacts. Same price; leave it off to get the complete record.\n\nInput an agent can send as is:\n\n```json\n{\n  \"profileUrls\": [\n    \"satyanadella\"\n  ],\n  \"compact\": true\n}\n```\n\nThe same Actor is available as a tool in LangChain, CrewAI and the OpenAI Agents SDK, and as a step in n8n, Make and Zapier through the Apify integrations.\n\n## Which actor in this family?\n\nOne database, ten doors. Misses are free on every one of them.\n\n| Actor | Input → output |\n|---|---|\n| **Profile Lookup** (this one) | profile URL → full career profile |\n| [Reverse Email Lookup](https://apify.com/b2bsearch/reverse-email-lookup) | email → person, profile URL and employer |\n| [Name to Profile](https://apify.com/b2bsearch/name-to-profile) | name + company domain → profile |\n| [Social Handle Lookup](https://apify.com/b2bsearch/social-handle-lookup) | GitHub, X/Twitter or Facebook handle → profile |\n| [Bulk People Enrichment](https://apify.com/b2bsearch/bulk-people-enrichment) | CSV of emails, URLs, handles or names → profiles |\n| [LinkedIn Email Finder](https://apify.com/b2bsearch/linkedin-email-finder) | profile URL → email addresses on record |\n| [Work Email Finder](https://apify.com/b2bsearch/work-email-finder) | name + company domain → work email candidates |\n| [Company Employees](https://apify.com/b2bsearch/company-employees) | company domain → current staff |\n| [People Database Search](https://apify.com/b2bsearch/people-database-search) | filters → people |\n| [B2B Leads Finder](https://apify.com/b2bsearch/b2b-leads-finder) | filters → leads with a work or personal email, from $1.50/1k |\n| [Company Database Search](https://apify.com/b2bsearch/company-database-search) | filters → companies |\n\n## Free Apify plan\n\nA run started from a free Apify plan delivers the first 100 results and stops;\nthe run's status line says so. Any paid Apify plan lifts the cap. The rows are\nthe same rows a paid run returns.\n\n## Feedback and reviews\n\nHow did it go? A rating in the **Reviews** tab of this Actor tells the next\nbuyer what to expect; we read every word, good or bad. Got a wrong or stale\nrow? Open the **Issues** tab with the run ID. Issues are public, so leave out\nemails, phones and names; the run ID is enough for us to find the row. We\ncheck every report, fix what is ours to fix and answer in the thread.\n\n## Disclaimer\n\nThis Actor is an independent product. It is not affiliated with, endorsed by\nor sponsored by LinkedIn. It does not access, crawl or scrape any of them at\nrun time: answers come from our own database of publicly available\nprofessional data, and the network names only describe the kind of data it\ncovers. To have a person's data removed, open an issue on this Actor with only\nthe profile link — nothing else is needed, and it is removed from every listing.\n",
      "storages": {
        "dataset": {
          "actorSpecification": 1,
          "fields": {
            "$schema": "http://json-schema.org/draft-07/schema#",
            "type": "object",
            "properties": {
              "_status": {
                "type": "string",
                "nullable": true,
                "description": "Outcome of this row: \"found\" is a paid result; every other value (not_found, invalid, no_phone, ambiguous, …) is a free row that explains itself in _error or _note.",
                "example": "found"
              },
              "_input": {
                "type": "object",
                "nullable": true,
                "description": "The input entry this row answers, as the run read it.",
                "example": {
                  "email": "jane.doe@example.com"
                }
              },
              "fullName": {
                "type": "string",
                "nullable": true,
                "description": "Full name of the person.",
                "example": "Jane Doe"
              },
              "jobTitle": {
                "type": "string",
                "nullable": true,
                "description": "Current job title.",
                "example": "VP of Engineering"
              },
              "companyName": {
                "type": "string",
                "nullable": true,
                "description": "Name of the current employer.",
                "example": "Example Corp"
              },
              "profileUrl": {
                "type": "string",
                "nullable": true,
                "description": "LinkedIn profile URL of the person.",
                "example": "https://www.linkedin.com/in/jane-doe-example"
              },
              "location": {
                "description": "Where the person is based, as free text.",
                "example": "Austin, Texas, United States"
              },
              "countryCode": {
                "type": "string",
                "nullable": true,
                "description": "Two-letter country code, lowercase.",
                "example": "us"
              },
              "email": {
                "type": "string",
                "nullable": true,
                "description": "The best email address on record: one at the current employer first, then a personal mailbox.",
                "example": "jane.doe@example.com"
              },
              "emailType": {
                "type": "string",
                "nullable": true,
                "description": "Kind of the best address: \"work\" or \"personal\".",
                "example": "work"
              },
              "phone": {
                "type": "string",
                "nullable": true,
                "description": "The first mobile number on record that is not a company switchboard.",
                "example": "+15550100123"
              },
              "emailCount": {
                "type": "number",
                "nullable": true,
                "description": "How many email addresses are on record for the person.",
                "example": 2
              },
              "_tier": {
                "type": "string",
                "nullable": true,
                "description": "Which price this row was charged at when contacts were requested: \"contacts\" or \"profile\".",
                "example": "contacts"
              },
              "_note": {
                "type": "string",
                "nullable": true,
                "description": "A remark about the row or the run: what was skipped, what was capped, how to get the rest.",
                "example": "found, but without phone — skipped as required, not charged"
              },
              "headline": {
                "type": "string",
                "nullable": true,
                "description": "The profile headline, as the person wrote it.",
                "example": "VP of Engineering at Example Corp"
              },
              "_freshness": {
                "type": "string",
                "nullable": true,
                "description": "How recently the record was refreshed: fresh_90d, updated_1y, older or unknown.",
                "example": "updated_1y"
              },
              "_matchCandidates": {
                "type": "number",
                "nullable": true,
                "description": "How many different people matched the input when more than one did.",
                "example": 2
              },
              "_error": {
                "type": "string",
                "nullable": true,
                "description": "Why this row is not a result, in plain words. Empty on found rows.",
                "example": "No record matches this email address. Not charged."
              },
              "experience": {
                "type": "object",
                "nullable": true,
                "description": "Career history: every position with title, company, dates, location and description.",
                "example": {
                  "work": [
                    {
                      "title": "VP of Engineering",
                      "company": "Example Corp",
                      "startDate": "2021-03-01",
                      "endDate": null
                    }
                  ]
                }
              },
              "education": {
                "type": "array",
                "nullable": true,
                "description": "Education history: school, degree, field of study and dates.",
                "example": [
                  {
                    "school": "Example University",
                    "degreeName": "BSc",
                    "fieldOfStudy": "Computer Science",
                    "endDate": "2008-06-30"
                  }
                ]
              },
              "certifications": {
                "type": "array",
                "nullable": true,
                "description": "Certifications with issuer and dates.",
                "example": [
                  {
                    "name": "Example Cloud Architect",
                    "startDate": "2023-05-01"
                  }
                ]
              },
              "skills": {
                "type": "array",
                "nullable": true,
                "description": "Skills listed on the profile.",
                "example": [
                  "Product Management",
                  "SQL"
                ]
              },
              "about": {
                "type": "string",
                "nullable": true,
                "description": "The profile summary, as the person wrote it.",
                "example": "Engineering leader with 15 years in fintech."
              },
              "contactInformation": {
                "type": "object",
                "nullable": true,
                "description": "Links of the person: website; GitHub, X (Twitter) and Facebook only with emails & phones on.",
                "example": {
                  "socialLinks": {
                    "websiteUrl": "https://janedoe.example"
                  }
                }
              },
              "seniority": {
                "description": "Seniority of the person: a bucket (cxo, vp, director, manager, founder, other) on roster rows, a block with tenure figures on full profiles.",
                "example": "vp"
              },
              "inferredSalary": {
                "type": "object",
                "nullable": true,
                "description": "Estimated salary range when one is on record.",
                "example": {
                  "min": 120000,
                  "max": 160000
                }
              },
              "connectionsCount": {
                "type": "number",
                "nullable": true,
                "description": "Number of connections on the profile (500 means 500 or more).",
                "example": 500
              },
              "followersCount": {
                "type": "number",
                "nullable": true,
                "description": "Number of followers on the profile.",
                "example": 1200
              }
            },
            "required": [],
            "additionalProperties": true
          },
          "views": {
            "overview": {
              "title": "Overview",
              "transformation": {
                "fields": [
                  "_status",
                  "_input",
                  "fullName",
                  "jobTitle",
                  "companyName",
                  "profileUrl",
                  "location",
                  "countryCode",
                  "email",
                  "emailType",
                  "phone",
                  "emailCount",
                  "_tier",
                  "_note",
                  "headline",
                  "_freshness",
                  "_matchCandidates",
                  "_error"
                ]
              },
              "display": {
                "component": "table",
                "properties": {
                  "_status": {
                    "label": "Status",
                    "format": "text"
                  },
                  "_input": {
                    "label": "Input",
                    "format": "object"
                  },
                  "fullName": {
                    "label": "Name",
                    "format": "text"
                  },
                  "jobTitle": {
                    "label": "Job title",
                    "format": "text"
                  },
                  "companyName": {
                    "label": "Company",
                    "format": "text"
                  },
                  "profileUrl": {
                    "label": "Profile",
                    "format": "link"
                  },
                  "location": {
                    "label": "Location",
                    "format": "text"
                  },
                  "countryCode": {
                    "label": "Country",
                    "format": "text"
                  },
                  "email": {
                    "label": "Best email",
                    "format": "text"
                  },
                  "emailType": {
                    "label": "Email type",
                    "format": "text"
                  },
                  "phone": {
                    "label": "Phone",
                    "format": "text"
                  },
                  "emailCount": {
                    "label": "Emails on record",
                    "format": "number"
                  },
                  "_tier": {
                    "label": "Charged as",
                    "format": "text"
                  },
                  "_note": {
                    "label": "Note",
                    "format": "text"
                  },
                  "headline": {
                    "label": "Headline",
                    "format": "text"
                  },
                  "_freshness": {
                    "label": "Freshness",
                    "format": "text"
                  },
                  "_matchCandidates": {
                    "label": "Possible matches",
                    "format": "number"
                  },
                  "_error": {
                    "label": "Details",
                    "format": "text"
                  }
                }
              }
            },
            "career": {
              "title": "Career & education",
              "transformation": {
                "fields": [
                  "fullName",
                  "jobTitle",
                  "companyName",
                  "experience",
                  "education",
                  "certifications",
                  "skills",
                  "about"
                ]
              },
              "display": {
                "component": "table",
                "properties": {
                  "fullName": {
                    "label": "Name",
                    "format": "text"
                  },
                  "jobTitle": {
                    "label": "Job title",
                    "format": "text"
                  },
                  "companyName": {
                    "label": "Company",
                    "format": "text"
                  },
                  "experience": {
                    "label": "Positions",
                    "format": "object"
                  },
                  "education": {
                    "label": "Education",
                    "format": "array"
                  },
                  "certifications": {
                    "label": "Certifications",
                    "format": "array"
                  },
                  "skills": {
                    "label": "Skills",
                    "format": "array"
                  },
                  "about": {
                    "label": "About",
                    "format": "text"
                  }
                }
              }
            },
            "contacts": {
              "title": "Contacts & signals",
              "transformation": {
                "fields": [
                  "fullName",
                  "companyName",
                  "contactInformation",
                  "location",
                  "seniority",
                  "inferredSalary",
                  "connectionsCount",
                  "followersCount"
                ]
              },
              "display": {
                "component": "table",
                "properties": {
                  "fullName": {
                    "label": "Name",
                    "format": "text"
                  },
                  "companyName": {
                    "label": "Company",
                    "format": "text"
                  },
                  "contactInformation": {
                    "label": "Contacts & socials",
                    "format": "object"
                  },
                  "location": {
                    "label": "Location",
                    "format": "object"
                  },
                  "seniority": {
                    "label": "Seniority",
                    "format": "object"
                  },
                  "inferredSalary": {
                    "label": "Salary estimate",
                    "format": "object"
                  },
                  "connectionsCount": {
                    "label": "Connections",
                    "format": "number"
                  },
                  "followersCount": {
                    "label": "Followers",
                    "format": "number"
                  }
                }
              }
            }
          }
        }
      },
      "output": {
        "actorOutputSchemaVersion": 1,
        "title": "Results",
        "description": "Result rows are stored in the run's default dataset.",
        "properties": {
          "results": {
            "type": "string",
            "title": "Results",
            "template": "{{links.apiDefaultDatasetUrl}}/items"
          }
        }
      },
      "dockerfile": "../Dockerfile",
      "defaultRunOptions": {
        "timeoutSecs": 3600,
        "memoryMbytes": 1024
      },
      "environmentVariables": {
        "API_BASE_URL": "https://apify.sputnik.io",
        "API_TOKEN": "@key_profile_lookup",
        "FULL_OUTPUT_ENABLED": "true"
      }
    },
    "buildNumber": "0.1.55",
    "imageDigest": "a6be35faa080029bcae0ff47465805ac0d844fe98a563f9789a3aa4ac56232c5",
    "actVersion": {
      "sourceType": "SOURCE_FILES",
      "buildTag": "latest",
      "versionNumber": "0.1"
    },
    "usage": {
      "ACTOR_COMPUTE_UNITS": 0.011041111111111111
    }
  }
}