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    "finishedAt": "2026-10-15T21:14:59.436Z",
    "status": "SUCCEEDED",
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    "inputSchema": "{\n  \"title\": \"LinkedIn Phone Number Finder\",\n  \"type\": \"object\",\n  \"schemaVersion\": 1,\n  \"properties\": {\n    \"linkedinUrls\": {\n      \"title\": \"LinkedIn profile URLs\",\n      \"type\": \"array\",\n      \"description\": \"Public linkedin.com/in/... profile links, one per entry. Each profile is read as a logged-out visitor (name, employer, location) and the person is looked up on US public records around that location. No LinkedIn login or cookies.\",\n      \"editor\": \"stringList\",\n      \"prefill\": [\n        \"https://www.linkedin.com/in/katemakowski/\",\n        \"https://www.linkedin.com/in/adamhcarr/\"\n      ]\n    },\n    \"linkedinUrlsText\": {\n      \"title\": \"Bulk paste (one profile per line)\",\n      \"type\": \"string\",\n      \"description\": \"Paste a whole column from a spreadsheet or CRM export: one LinkedIn profile URL per line. Duplicates across both fields are removed.\",\n      \"editor\": \"textarea\"\n    },\n    \"minConfidence\": {\n      \"title\": \"Minimum match confidence\",\n      \"type\": \"string\",\n      \"description\": \"\\\"medium\\\" (default) returns a phone when exactly one person with this name lives in the LinkedIn state, or when the record names the LinkedIn employer. \\\"high\\\" returns phones only when the public record names the same employer; location-only matches come back as free \\\"unconfirmed\\\" rows without phones.\",\n      \"editor\": \"select\",\n      \"enum\": [\n        \"medium\",\n        \"high\"\n      ],\n      \"enumTitles\": [\n        \"Medium: one person in that state, or employer confirmed\",\n        \"High: employer confirmed only\"\n      ],\n      \"default\": \"medium\"\n    },\n    \"onlyFound\": {\n      \"title\": \"Only return profiles with a phone\",\n      \"type\": \"boolean\",\n      \"description\": \"Off by default: every profile gets a row that says why it has no phone (several people fit, no record, outside the US). Those rows are free. Turn on to keep only the rows you are billed for.\",\n      \"default\": false\n    },\n    \"maxItems\": {\n      \"title\": \"Max profiles\",\n      \"type\": \"integer\",\n      \"description\": \"Most profiles to process in this run, after duplicates are removed. Free Apify plans are capped at 10 per run.\",\n      \"default\": 1000,\n      \"minimum\": 1\n    },\n    \"maxConcurrency\": {\n      \"title\": \"Max concurrency\",\n      \"type\": \"integer\",\n      \"description\": \"LinkedIn profiles read in parallel.\",\n      \"default\": 5,\n      \"minimum\": 1,\n      \"maximum\": 20\n    }\n  }\n}",
    "readme": "# LinkedIn Phone Number Finder - US Mobile Numbers by Profile\n\n**Paste LinkedIn profile URLs. Get back each person's US phone numbers, mobiles first, from current public records.**\n\nYou pay **$0.04 for each profile returned with a phone**, plus a $0.005 start fee per run. When several people share the name and nothing tells them apart, the row is free and says so, because a stranger's number is worth less than no number. No LinkedIn login, no cookies, no API keys.\n\n## Why Use This Scraper?\n\n- **Matched to the person, not the name.** A US name search returns everyone called Chris Adams. A phone comes back only when one record fits: the public record names the same employer as LinkedIn, or exactly one person with that name lives in the LinkedIn state.\n- **Live records, not a stale dump.** Numbers come from public people-search records refreshed this year, each with its line type (wireless or landline), carrier and when it was last reported.\n- **Mobiles first.** `primaryPhone` is the active mobile when the record has one; landlines and older numbers follow in `phones`.\n- **A row for every profile, with the reason.** `found`, `ambiguous` (and how many people fit), `not-found`, `not-us`, `no-name`. Only `found` is billed.\n- **No LinkedIn account at risk.** Profiles are read the way a logged-out visitor sees them. You never hand over cookies or a session.\n\n### How often it finds a phone\n\nMeasured on 9 October 2026 over 45 US profiles found by searching LinkedIn for B2B titles (VP of Sales, Marketing Manager, Head of Engineering, Account Executive, HR Manager):\n\n| Result | Profiles | You pay |\n| --- | --- | --- |\n| Phone found, employer named on the record (`confidence: high`) | 3 | $0.04 each |\n| Phone found, only person with the name in that state (`confidence: medium`) | 8 | $0.04 each |\n| Several people fit (`ambiguous`) | 20 | free |\n| No record with this name near the LinkedIn location (`not-found`) | 9 | free |\n| LinkedIn showed no usable name (`no-name`) | 5 | free |\n\n11 of 45 (24%). A second sample the same day, 40 Ohio profiles found by searching for operations, product, finance and sales titles, returned 9 (22%): 1 high, 8 medium, 21 ambiguous, 5 not found, 5 with no usable name or outside the US.\n\nRare surnames and profiles that show a city find a phone most often; \"John Smith, United States\" almost never does, and that is deliberate.\n\n## Overview\n\nFor sales, recruiting and growth teams who have a list of US people on LinkedIn and want to call them. For each profile URL the actor returns one dataset row: the person's name, title, employer and LinkedIn location, their phone numbers with line type, and how sure the match is.\n\nOnly people located in the US are searched. Profiles placed in another country come back as free `not-us` rows.\n\n## Supported Inputs\n\n| Input | Example | Supported |\n| --- | --- | --- |\n| Public profile URL | `https://www.linkedin.com/in/katemakowski/` | Yes |\n| Country subdomain | `https://ca.linkedin.com/in/jane-doe-4b2a1c9` | Yes |\n| URL with tracking parameters | `https://www.linkedin.com/in/jane-doe?trk=public_profile` | Yes |\n| Company pages, posts, Sales Navigator lead URLs | `linkedin.com/company/...` | No, only `/in/` profiles |\n\n```json\n{\n    \"linkedinUrls\": [\n        \"https://www.linkedin.com/in/katemakowski/\",\n        \"https://www.linkedin.com/in/adamhcarr/\"\n    ],\n    \"minConfidence\": \"medium\"\n}\n```\n\nPaste a whole column into **Bulk paste**, one profile per line. Duplicates are removed.\n\n### Already scraping LinkedIn?\n\nProfile scrapers return names, titles and work history, and some add an email, but none of them return a phone number. Export the `linkedinUrl` column from any LinkedIn profile, people-search or company-employees scraper and paste it here: the phones come back keyed by the same URL, so the two datasets join on one column.\n\n## Input Configuration\n\n| Field | Default | What it does |\n| --- | --- | --- |\n| `linkedinUrls` | | Profile URLs, one per entry |\n| `linkedinUrlsText` | | Bulk paste, one URL per line |\n| `minConfidence` | `medium` | `high` returns phones only when the public record names the LinkedIn employer. Location-only matches then come back as free `unconfirmed` rows without phones |\n| `onlyFound` | `false` | Keep only the rows you pay for |\n| `maxItems` | `1000` | Most profiles per run. Free Apify plans: 10 |\n| `maxConcurrency` | `5` | LinkedIn profiles read in parallel |\n\n## How It Works\n\n1. Reads each public profile as a logged-out visitor: name, title, employer, location. When LinkedIn hides the page, or it leaves out the location or employer, the profile is read through a second public source, and the search engine's listing for that exact profile is the last resort.\n2. Looks the name up on US public people-search records around the LinkedIn location.\n3. Keeps a record only when it is the single one that fits (see **Match rules**), then orders its numbers mobile first.\n\nA batch of 25 new names takes a few minutes; names looked up recently come back in seconds.\n\n### Match rules\n\n- `high`: exactly one record with a compatible name (Kate / Katherine, Steve / Stephen) lists the LinkedIn employer in its career history.\n- `medium`: no record names the employer, but exactly one person with the name lives in the LinkedIn state. If that person lives in a different city, the name must also be the only one found anywhere.\n- Anything else is `ambiguous` or `not-found`, and free.\n\n## Output Sample\n\n```json\n{\n    \"inputIndex\": 1,\n    \"linkedinUrl\": \"https://www.linkedin.com/in/jane-doe-example/\",\n    \"status\": \"found\",\n    \"fullName\": \"Jane Doe\",\n    \"jobTitle\": \"Social and Digital Marketing Manager\",\n    \"company\": \"Acme Example\",\n    \"location\": \"Minneapolis, Minnesota, United States\",\n    \"confidence\": \"high\",\n    \"matchReason\": \"The record lists Acme Example as the employer.\",\n    \"primaryPhone\": \"+16125550142\",\n    \"primaryPhoneType\": \"Wireless\",\n    \"phones\": [\n        { \"number\": \"(612) 555-0142\", \"e164\": \"+16125550142\", \"type\": \"Wireless\", \"carrier\": \"Verizon Wireless\", \"lastReported\": \"Sep 2026\" },\n        { \"number\": \"(612) 555-0187\", \"e164\": \"+16125550187\", \"type\": \"Landline\", \"carrier\": \"CenturyLink\", \"lastReported\": \"Sep 2021\" }\n    ],\n    \"phoneCount\": 2,\n    \"candidates\": 1,\n    \"billed\": true\n}\n```\n\n## Key Output Fields\n\n| Field | Meaning |\n| --- | --- |\n| `status` | `found` (billed), `unconfirmed`, `no-phone`, `ambiguous`, `not-found`, `not-us`, `no-name`, `charge-limit`, `error` |\n| `confidence` | `high` (employer on the record) or `medium` (only namesake in the state) |\n| `matchReason` | One sentence on why the row matched, or why it did not |\n| `primaryPhone` | The number to call first, E.164 |\n| `phones` | Every active number on the record, mobiles first, with type, carrier and last-reported month |\n| `candidates` | Records with a compatible name the search returned |\n| `lookupQuery` | The name and place that were searched |\n\n## FAQ\n\n### What exactly am I billed for?\nOne `phone-found` event, $0.04, for each profile returned with `status: found`, and a $0.005 start fee per run (per GB of memory). Every other row is free.\n\n### Why is a row ambiguous when the name looks unique?\nThe record search covers the whole US. If two people with a compatible name fit the LinkedIn state and no record names the employer, the actor will not pick one for you. `candidates` says how many there were.\n\n### Does it work outside the US?\nNo. Only US public records are searched.\n\n### Do I need a LinkedIn account?\nNo. Nothing is sent to LinkedIn under your name.\n\n## Disclaimer\n\nThis actor returns publicly available records for business contact. It is not a consumer reporting agency, and its output must not be used for any purpose covered by the US Fair Credit Reporting Act (FCRA), such as decisions about employment, credit, insurance or housing. Calling or texting the numbers is subject to the TCPA, state telemarketing laws and the national Do Not Call registry; checking your list against them is your responsibility.\n",
    "actorDefinition": {
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      "name": "linkedin-phone-number-finder",
      "title": "LinkedIn Phone Number Finder - US Mobile Numbers by Profile",
      "description": "Paste LinkedIn profile URLs, get the person's US phone numbers from public records, mobiles first. Each record is matched by name, city and employer; when several people fit, the row is free and says so. No LinkedIn login or cookies. You pay only for a match with a phone.",
      "version": "0.0",
      "meta": {
        "templateId": "ts-crawlee-cheerio"
      },
      "input": {
        "title": "LinkedIn Phone Number Finder",
        "type": "object",
        "schemaVersion": 1,
        "properties": {
          "linkedinUrls": {
            "title": "LinkedIn profile URLs",
            "type": "array",
            "description": "Public linkedin.com/in/... profile links, one per entry. Each profile is read as a logged-out visitor (name, employer, location) and the person is looked up on US public records around that location. No LinkedIn login or cookies.",
            "editor": "stringList",
            "prefill": [
              "https://www.linkedin.com/in/katemakowski/",
              "https://www.linkedin.com/in/adamhcarr/"
            ]
          },
          "linkedinUrlsText": {
            "title": "Bulk paste (one profile per line)",
            "type": "string",
            "description": "Paste a whole column from a spreadsheet or CRM export: one LinkedIn profile URL per line. Duplicates across both fields are removed.",
            "editor": "textarea"
          },
          "minConfidence": {
            "title": "Minimum match confidence",
            "type": "string",
            "description": "\"medium\" (default) returns a phone when exactly one person with this name lives in the LinkedIn state, or when the record names the LinkedIn employer. \"high\" returns phones only when the public record names the same employer; location-only matches come back as free \"unconfirmed\" rows without phones.",
            "editor": "select",
            "enum": [
              "medium",
              "high"
            ],
            "enumTitles": [
              "Medium: one person in that state, or employer confirmed",
              "High: employer confirmed only"
            ],
            "default": "medium"
          },
          "onlyFound": {
            "title": "Only return profiles with a phone",
            "type": "boolean",
            "description": "Off by default: every profile gets a row that says why it has no phone (several people fit, no record, outside the US). Those rows are free. Turn on to keep only the rows you are billed for.",
            "default": false
          },
          "maxItems": {
            "title": "Max profiles",
            "type": "integer",
            "description": "Most profiles to process in this run, after duplicates are removed. Free Apify plans are capped at 10 per run.",
            "default": 1000,
            "minimum": 1
          },
          "maxConcurrency": {
            "title": "Max concurrency",
            "type": "integer",
            "description": "LinkedIn profiles read in parallel.",
            "default": 5,
            "minimum": 1,
            "maximum": 20
          }
        }
      },
      "output": {
        "actorOutputSchemaVersion": 1,
        "title": "LinkedIn Phone Number Finder output",
        "description": "One row per LinkedIn profile with the person's US phone numbers and how sure the match is.",
        "properties": {
          "phones": {
            "type": "string",
            "title": "Phones",
            "description": "Name, employer, LinkedIn location, primary phone and type, confidence, the reason for the match (or for no match) and whether the row was billed.",
            "template": "{{links.apiDefaultDatasetUrl}}/items?view=overview"
          },
          "all": {
            "type": "string",
            "title": "All fields",
            "description": "Every field, including every phone on the record with its type, carrier and last-reported month.",
            "template": "{{links.apiDefaultDatasetUrl}}/items"
          }
        }
      },
      "dockerfile": "../Dockerfile",
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          "actorSpecification": 1,
          "views": {
            "overview": {
              "title": "Phones",
              "transformation": {
                "fields": [
                  "inputIndex",
                  "linkedinUrl",
                  "status",
                  "fullName",
                  "company",
                  "location",
                  "primaryPhone",
                  "primaryPhoneType",
                  "phoneCount",
                  "confidence",
                  "matchReason",
                  "billed"
                ]
              },
              "display": {
                "component": "table",
                "properties": {
                  "linkedinUrl": {
                    "label": "LinkedIn",
                    "format": "link"
                  },
                  "status": {
                    "label": "Status"
                  },
                  "fullName": {
                    "label": "Name"
                  },
                  "company": {
                    "label": "Company"
                  },
                  "location": {
                    "label": "LinkedIn location"
                  },
                  "primaryPhone": {
                    "label": "Phone"
                  },
                  "primaryPhoneType": {
                    "label": "Type"
                  },
                  "phoneCount": {
                    "label": "Phones",
                    "format": "number"
                  },
                  "confidence": {
                    "label": "Confidence"
                  },
                  "matchReason": {
                    "label": "Why"
                  },
                  "billed": {
                    "label": "Billed",
                    "format": "boolean"
                  }
                }
              }
            }
          }
        }
      },
      "minMemoryMbytes": 256,
      "maxMemoryMbytes": 1024,
      "monetization": {
        "pricingModel": "PAY_PER_EVENT",
        "events": [
          {
            "eventName": "phone-found",
            "eventTitle": "Phone match",
            "eventDescription": "One LinkedIn profile matched to a single US public record that carries at least one phone number (status: found). Ambiguous names, no record, no phone and profiles outside the US are never billed.",
            "eventPriceUsd": 0.04,
            "isPrimaryEvent": true
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      "readme": "# LinkedIn Phone Number Finder - US Mobile Numbers by Profile\n\n**Paste LinkedIn profile URLs. Get back each person's US phone numbers, mobiles first, from current public records.**\n\nYou pay **$0.04 for each profile returned with a phone**, plus a $0.005 start fee per run. When several people share the name and nothing tells them apart, the row is free and says so, because a stranger's number is worth less than no number. No LinkedIn login, no cookies, no API keys.\n\n## Why Use This Scraper?\n\n- **Matched to the person, not the name.** A US name search returns everyone called Chris Adams. A phone comes back only when one record fits: the public record names the same employer as LinkedIn, or exactly one person with that name lives in the LinkedIn state.\n- **Live records, not a stale dump.** Numbers come from public people-search records refreshed this year, each with its line type (wireless or landline), carrier and when it was last reported.\n- **Mobiles first.** `primaryPhone` is the active mobile when the record has one; landlines and older numbers follow in `phones`.\n- **A row for every profile, with the reason.** `found`, `ambiguous` (and how many people fit), `not-found`, `not-us`, `no-name`. Only `found` is billed.\n- **No LinkedIn account at risk.** Profiles are read the way a logged-out visitor sees them. You never hand over cookies or a session.\n\n### How often it finds a phone\n\nMeasured on 9 October 2026 over 45 US profiles found by searching LinkedIn for B2B titles (VP of Sales, Marketing Manager, Head of Engineering, Account Executive, HR Manager):\n\n| Result | Profiles | You pay |\n| --- | --- | --- |\n| Phone found, employer named on the record (`confidence: high`) | 3 | $0.04 each |\n| Phone found, only person with the name in that state (`confidence: medium`) | 8 | $0.04 each |\n| Several people fit (`ambiguous`) | 20 | free |\n| No record with this name near the LinkedIn location (`not-found`) | 9 | free |\n| LinkedIn showed no usable name (`no-name`) | 5 | free |\n\n11 of 45 (24%). A second sample the same day, 40 Ohio profiles found by searching for operations, product, finance and sales titles, returned 9 (22%): 1 high, 8 medium, 21 ambiguous, 5 not found, 5 with no usable name or outside the US.\n\nRare surnames and profiles that show a city find a phone most often; \"John Smith, United States\" almost never does, and that is deliberate.\n\n## Overview\n\nFor sales, recruiting and growth teams who have a list of US people on LinkedIn and want to call them. For each profile URL the actor returns one dataset row: the person's name, title, employer and LinkedIn location, their phone numbers with line type, and how sure the match is.\n\nOnly people located in the US are searched. Profiles placed in another country come back as free `not-us` rows.\n\n## Supported Inputs\n\n| Input | Example | Supported |\n| --- | --- | --- |\n| Public profile URL | `https://www.linkedin.com/in/katemakowski/` | Yes |\n| Country subdomain | `https://ca.linkedin.com/in/jane-doe-4b2a1c9` | Yes |\n| URL with tracking parameters | `https://www.linkedin.com/in/jane-doe?trk=public_profile` | Yes |\n| Company pages, posts, Sales Navigator lead URLs | `linkedin.com/company/...` | No, only `/in/` profiles |\n\n```json\n{\n    \"linkedinUrls\": [\n        \"https://www.linkedin.com/in/katemakowski/\",\n        \"https://www.linkedin.com/in/adamhcarr/\"\n    ],\n    \"minConfidence\": \"medium\"\n}\n```\n\nPaste a whole column into **Bulk paste**, one profile per line. Duplicates are removed.\n\n### Already scraping LinkedIn?\n\nProfile scrapers return names, titles and work history, and some add an email, but none of them return a phone number. Export the `linkedinUrl` column from any LinkedIn profile, people-search or company-employees scraper and paste it here: the phones come back keyed by the same URL, so the two datasets join on one column.\n\n## Input Configuration\n\n| Field | Default | What it does |\n| --- | --- | --- |\n| `linkedinUrls` | | Profile URLs, one per entry |\n| `linkedinUrlsText` | | Bulk paste, one URL per line |\n| `minConfidence` | `medium` | `high` returns phones only when the public record names the LinkedIn employer. Location-only matches then come back as free `unconfirmed` rows without phones |\n| `onlyFound` | `false` | Keep only the rows you pay for |\n| `maxItems` | `1000` | Most profiles per run. Free Apify plans: 10 |\n| `maxConcurrency` | `5` | LinkedIn profiles read in parallel |\n\n## How It Works\n\n1. Reads each public profile as a logged-out visitor: name, title, employer, location. When LinkedIn hides the page, or it leaves out the location or employer, the profile is read through a second public source, and the search engine's listing for that exact profile is the last resort.\n2. Looks the name up on US public people-search records around the LinkedIn location.\n3. Keeps a record only when it is the single one that fits (see **Match rules**), then orders its numbers mobile first.\n\nA batch of 25 new names takes a few minutes; names looked up recently come back in seconds.\n\n### Match rules\n\n- `high`: exactly one record with a compatible name (Kate / Katherine, Steve / Stephen) lists the LinkedIn employer in its career history.\n- `medium`: no record names the employer, but exactly one person with the name lives in the LinkedIn state. If that person lives in a different city, the name must also be the only one found anywhere.\n- Anything else is `ambiguous` or `not-found`, and free.\n\n## Output Sample\n\n```json\n{\n    \"inputIndex\": 1,\n    \"linkedinUrl\": \"https://www.linkedin.com/in/jane-doe-example/\",\n    \"status\": \"found\",\n    \"fullName\": \"Jane Doe\",\n    \"jobTitle\": \"Social and Digital Marketing Manager\",\n    \"company\": \"Acme Example\",\n    \"location\": \"Minneapolis, Minnesota, United States\",\n    \"confidence\": \"high\",\n    \"matchReason\": \"The record lists Acme Example as the employer.\",\n    \"primaryPhone\": \"+16125550142\",\n    \"primaryPhoneType\": \"Wireless\",\n    \"phones\": [\n        { \"number\": \"(612) 555-0142\", \"e164\": \"+16125550142\", \"type\": \"Wireless\", \"carrier\": \"Verizon Wireless\", \"lastReported\": \"Sep 2026\" },\n        { \"number\": \"(612) 555-0187\", \"e164\": \"+16125550187\", \"type\": \"Landline\", \"carrier\": \"CenturyLink\", \"lastReported\": \"Sep 2021\" }\n    ],\n    \"phoneCount\": 2,\n    \"candidates\": 1,\n    \"billed\": true\n}\n```\n\n## Key Output Fields\n\n| Field | Meaning |\n| --- | --- |\n| `status` | `found` (billed), `unconfirmed`, `no-phone`, `ambiguous`, `not-found`, `not-us`, `no-name`, `charge-limit`, `error` |\n| `confidence` | `high` (employer on the record) or `medium` (only namesake in the state) |\n| `matchReason` | One sentence on why the row matched, or why it did not |\n| `primaryPhone` | The number to call first, E.164 |\n| `phones` | Every active number on the record, mobiles first, with type, carrier and last-reported month |\n| `candidates` | Records with a compatible name the search returned |\n| `lookupQuery` | The name and place that were searched |\n\n## FAQ\n\n### What exactly am I billed for?\nOne `phone-found` event, $0.04, for each profile returned with `status: found`, and a $0.005 start fee per run (per GB of memory). Every other row is free.\n\n### Why is a row ambiguous when the name looks unique?\nThe record search covers the whole US. If two people with a compatible name fit the LinkedIn state and no record names the employer, the actor will not pick one for you. `candidates` says how many there were.\n\n### Does it work outside the US?\nNo. Only US public records are searched.\n\n### Do I need a LinkedIn account?\nNo. Nothing is sent to LinkedIn under your name.\n\n## Disclaimer\n\nThis actor returns publicly available records for business contact. It is not a consumer reporting agency, and its output must not be used for any purpose covered by the US Fair Credit Reporting Act (FCRA), such as decisions about employment, credit, insurance or housing. Calling or texting the numbers is subject to the TCPA, state telemarketing laws and the national Do Not Call registry; checking your list against them is your responsibility.\n"
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