{ "data": { "id": "7E8tAqTBvFwhsGHlM", "actId": "j4qiav7vzrmMLcq5A", "userId": "BDnumQABsZbENhvGm", "startedAt": "2026-06-21T13:43:01.484Z", "finishedAt": "2026-06-21T13:43:04.391Z", "status": "SUCCEEDED", "meta": { "origin": "CLI" }, "stats": { "durationMillis": 2850, "runTimeSecs": 2.85, "computeUnits": 0.0031666666666666666, "imageSizeBytes": 507382272 }, "options": { "useCache": true, "betaPackages": false, "memoryMbytes": 4096, "diskMbytes": 8192 }, "exitCode": 0, "inputSchema": "{\n \"$schema\": \"https://apify.com/schemas/v1/input.ide.json\",\n \"title\": \"LinkedIn Profile Scraper Input\",\n \"type\": \"object\",\n \"schemaVersion\": 1,\n \"properties\": {\n \"profiles\": {\n \"title\": \"Profiles\",\n \"type\": \"array\",\n \"description\": \"LinkedIn profile URLs or usernames/slugs to scrape (e.g. 'satyanadella' or 'https://www.linkedin.com/in/satyanadella')\",\n \"editor\": \"stringList\",\n \"prefill\": [\n \"satyanadella\"\n ]\n },\n \"proxyConfiguration\": {\n \"title\": \"Proxy Configuration\",\n \"type\": \"object\",\n \"description\": \"Apify Proxy settings (required). Only datacenter/residential proxies should be used.\",\n \"editor\": \"proxy\",\n \"default\": {\n \"useApifyProxy\": true\n }\n },\n \"maxProfiles\": {\n \"title\": \"Max Profiles\",\n \"type\": \"integer\",\n \"description\": \"Maximum number of profiles to scrape. Leave empty for no limit.\",\n \"editor\": \"number\",\n \"minimum\": 1\n }\n },\n \"required\": [\n \"profiles\"\n ]\n}", "readme": "# LinkedIn Profile Scraper (No Login / No Cookies / Safe)\n\nA production-grade, high-performance Apify Actor for scraping public LinkedIn profiles.\n\nUnlike other LinkedIn scrapers on the market, **this Actor does not require cookies, logins, or active account sessions**. It runs entirely logged-out, eliminating the risk of your personal or business LinkedIn accounts getting flagged or banned.\n\n---\n\n## 🚀 Key Differentiators & Benefits\n\n- **Zero Ban Risk**: No login credentials or cookies are required. Your LinkedIn accounts are 100% safe.\n- **No Cookie Expiry**: Since no session cookies are used, your scraping pipelines will never break due to \"session expired\" errors.\n- **Blazing Fast & Lightweight**: Built on top of Crawlee and CheerioCrawler (raw HTML parsing), avoiding heavy browser automation overhead. It is up to 10x faster and uses a fraction of the memory/CPU compared to Puppeteer/Playwright alternatives.\n- **Apify Proxy Integration**: Automatically routes requests through high-quality proxy IPs to ensure high success rates and prevent rate limiting.\n- **Pay-Per-Event (PPE) Friendly**: You only pay for what you successfully scrape!\n\n---\n\n## 🛠️ How it Works\n\nThe Actor requests the public profile page (`https://www.linkedin.com/in/`) using a randomized desktop User-Agent and routes it through Apify Proxy. Public profiles contain structured schema.org `Person` markup embedded inside an `application/ld+json` script tag. The Actor parses this JSON-LD payload to extract rich, structured profile information without needing to authenticate or execute heavy client-side JavaScript.\n\n---\n\n## 📥 Input Settings\n\nThe Actor accepts the following input fields:\n\n| Field | Type | Description | Required / Default |\n| -------------------- | ---------------- | -------------------------------------------------------------------------------------------------------------------------------- | ------------------------------------ |\n| `profiles` | Array of strings | A list of LinkedIn usernames/slugs (e.g. `satyanadella`) or full profile URLs (e.g. `https://www.linkedin.com/in/satyanadella`). | **Required** |\n| `proxyConfiguration` | Object | Connection settings for proxy routing. Apify Proxy is used by default. | Default: `{ \"useApifyProxy\": true }` |\n| `maxProfiles` | Integer | Caps the maximum number of profiles to scrape. Useful for budget control. | Optional / Null |\n\n---\n\n## 📤 Output Fields\n\nThe Actor produces clean, flat records in the default dataset. Below are the fields extracted:\n\n| Field | Type | Description |\n| ---------------- | ------- | --------------------------------------------------------------------------------- |\n| `fullName` | String | The full name of the user. |\n| `headline` | String | The profile's headline (often current job title/role). |\n| `about` | String | The user's biography/about summary. |\n| `location` | String | Geolocation (e.g. \"Redmond, Washington, United States\"). |\n| `currentCompany` | String | The company name of their current primary employment. |\n| `currentTitle` | String | Their current job title. |\n| `experience` | Array | Full employment history (company, company URL, title, location, start/end dates). |\n| `education` | Array | Education history (school name, school URL, start/end dates). |\n| `followers` | Integer | Total number of followers on their profile. |\n| `connections` | Integer | Total number of connections (if available). |\n| `skills` | Array | A list of endorsed/listed skills. |\n| `languages` | Array | Spoken/written languages. |\n| `profileUrl` | String | Canonical URL of the profile (`https://www.linkedin.com/in/`). |\n| `scrapeStatus` | String | Either `success` or `error`. |\n| `scrapedAt` | String | ISO timestamp of the scraping event. |\n\n### Example Output JSON\n\n```json\n{\n \"fullName\": \"Satya Nadella\",\n \"headline\": \"Chairman and CEO at Microsoft\",\n \"about\": \"Satya Nadella is Chairman and CEO of Microsoft...\",\n \"location\": \"Redmond, Washington, United States\",\n \"currentCompany\": \"Microsoft\",\n \"currentTitle\": \"Chairman and CEO\",\n \"experience\": [\n {\n \"company\": \"Microsoft\",\n \"companyUrl\": \"https://www.linkedin.com/company/microsoft\",\n \"location\": \"Greater Seattle Area\",\n \"title\": \"Chairman and CEO\",\n \"startDate\": \"2014-02\",\n \"endDate\": null\n }\n ],\n \"education\": [\n {\n \"school\": \"University of Chicago Booth School of Business\",\n \"schoolUrl\": \"https://www.linkedin.com/school/chicago-booth/\",\n \"startDate\": \"1995\",\n \"endDate\": \"1997\"\n }\n ],\n \"followers\": 10500000,\n \"connections\": 500,\n \"skills\": [\"Enterprise Software\", \"Cloud Computing\", \"SaaS\"],\n \"languages\": [\"English\", \"Hindi\"],\n \"profileUrl\": \"https://www.linkedin.com/in/satyanadella\",\n \"scrapeStatus\": \"success\",\n \"scrapedAt\": \"2026-06-21T18:45:00.000Z\"\n}\n```\n\n---\n\n## 💰 Pay-Per-Event (PPE) Pricing\n\nThis Actor is configured with Pay-Per-Event billing:\n\n1. **`actor-start`**: Charged once per Actor run to cover initialization costs.\n2. **`profile-scraped`**: Charged per successfully scraped profile. Profiles that fail to scrape (e.g. login-walled, invalid username) are marked with `scrapeStatus: 'error'` and are **not** charged the profile success fee.\n\n---\n\n## 🔗 Sibling Actors\n\nIf you are scraping LinkedIn data for lead generation or market analysis, you may also find our other specialized tools helpful:\n\n- **[LinkedIn Jobs Scraper](https://apify.com/gopalakrishnan/linkedin-jobs)**: Extract job listings, descriptions, salary details, and employer info without any session cookies.\n", "actorDefinition": { "$schema": "https://apify.com/schemas/v1/actor.ide.json", "actorSpecification": 1, "name": "linkedin-profile", "title": "LinkedIn Profile Scraper (No Login / No Cookies)", "description": "Scrapes public LinkedIn profiles without login cookies, credentials, or ban risk. Extract headline, experience, education, followers, and more.", "version": "1.0", "meta": { "templateId": "js-crawlee-cheerio", "generatedBy": "Antigravity with Gemini 3.5 Flash" }, "input": { "$schema": "https://apify.com/schemas/v1/input.ide.json", "title": "LinkedIn Profile Scraper Input", "type": "object", "schemaVersion": 1, "properties": { "profiles": { "title": "Profiles", "type": "array", "description": "LinkedIn profile URLs or usernames/slugs to scrape (e.g. 'satyanadella' or 'https://www.linkedin.com/in/satyanadella')", "editor": "stringList", "prefill": [ "satyanadella" ] }, "proxyConfiguration": { "title": "Proxy Configuration", "type": "object", "description": "Apify Proxy settings (required). Only datacenter/residential proxies should be used.", "editor": "proxy", "default": { "useApifyProxy": true } }, "maxProfiles": { "title": "Max Profiles", "type": "integer", "description": "Maximum number of profiles to scrape. Leave empty for no limit.", "editor": "number", "minimum": 1 } }, "required": [ "profiles" ] }, "output": { "$schema": "https://apify.com/schemas/v1/output.ide.json", "actorOutputSchemaVersion": 1, "title": "Run output", "properties": { "profiles": { "type": "string", "title": "Profiles", "template": "{{links.apiDefaultDatasetUrl}}/items" } } }, "storages": { "dataset": { "$schema": "https://apify.com/schemas/v1/dataset.ide.json", "actorSpecification": 1, "fields": { "type": "object", "properties": { "fullName": { "type": [ "string", "null" ] }, "headline": { "type": [ "string", "null" ] }, "about": { "type": [ "string", "null" ] }, "location": { "type": [ "string", "null" ] }, "currentCompany": { "type": [ "string", "null" ] }, "currentTitle": { "type": [ "string", "null" ] }, "experience": { "type": "array" }, "education": { "type": "array" }, "followers": { "type": [ "integer", "null" ] }, "connections": { "type": [ "integer", "null" ] }, "skills": { "type": "array" }, "languages": { "type": "array" }, "profileUrl": { "type": [ "string", "null" ] }, "scrapeStatus": { "type": [ "string", "null" ] }, "scrapeError": { "type": [ "string", "null" ] }, "scrapedAt": { "type": [ "string", "null" ] } } }, "views": { "overview": { "title": "Overview", "transformation": { "fields": [ "fullName", "headline", "currentCompany", "currentTitle", "location", "followers", "connections", "about", "profileUrl", "scrapeStatus", "scrapeError", "scrapedAt" ] }, "display": { "component": "table", "properties": { "fullName": { "label": "Full Name", "format": "text" }, "headline": { "label": "Headline", "format": "text" }, "currentCompany": { "label": "Current Company", "format": "text" }, "currentTitle": { "label": "Current Title", "format": "text" }, "location": { "label": "Location", "format": "text" }, "followers": { "label": "Followers", "format": "number" }, "connections": { "label": "Connections", "format": "number" }, "about": { "label": "About", "format": "text" }, "profileUrl": { "label": "Profile URL", "format": "link" }, "scrapeStatus": { "label": "Status", "format": "text" }, "scrapeError": { "label": "Error Description", "format": "text" }, "scrapedAt": { "label": "Scraped At", "format": "date" } } } } } } }, "dockerfile": "../Dockerfile", "readme": "# LinkedIn Profile Scraper (No Login / No Cookies / Safe)\n\nA production-grade, high-performance Apify Actor for scraping public LinkedIn profiles.\n\nUnlike other LinkedIn scrapers on the market, **this Actor does not require cookies, logins, or active account sessions**. It runs entirely logged-out, eliminating the risk of your personal or business LinkedIn accounts getting flagged or banned.\n\n---\n\n## 🚀 Key Differentiators & Benefits\n\n- **Zero Ban Risk**: No login credentials or cookies are required. Your LinkedIn accounts are 100% safe.\n- **No Cookie Expiry**: Since no session cookies are used, your scraping pipelines will never break due to \"session expired\" errors.\n- **Blazing Fast & Lightweight**: Built on top of Crawlee and CheerioCrawler (raw HTML parsing), avoiding heavy browser automation overhead. It is up to 10x faster and uses a fraction of the memory/CPU compared to Puppeteer/Playwright alternatives.\n- **Apify Proxy Integration**: Automatically routes requests through high-quality proxy IPs to ensure high success rates and prevent rate limiting.\n- **Pay-Per-Event (PPE) Friendly**: You only pay for what you successfully scrape!\n\n---\n\n## 🛠️ How it Works\n\nThe Actor requests the public profile page (`https://www.linkedin.com/in/`) using a randomized desktop User-Agent and routes it through Apify Proxy. Public profiles contain structured schema.org `Person` markup embedded inside an `application/ld+json` script tag. The Actor parses this JSON-LD payload to extract rich, structured profile information without needing to authenticate or execute heavy client-side JavaScript.\n\n---\n\n## 📥 Input Settings\n\nThe Actor accepts the following input fields:\n\n| Field | Type | Description | Required / Default |\n| -------------------- | ---------------- | -------------------------------------------------------------------------------------------------------------------------------- | ------------------------------------ |\n| `profiles` | Array of strings | A list of LinkedIn usernames/slugs (e.g. `satyanadella`) or full profile URLs (e.g. `https://www.linkedin.com/in/satyanadella`). | **Required** |\n| `proxyConfiguration` | Object | Connection settings for proxy routing. Apify Proxy is used by default. | Default: `{ \"useApifyProxy\": true }` |\n| `maxProfiles` | Integer | Caps the maximum number of profiles to scrape. Useful for budget control. | Optional / Null |\n\n---\n\n## 📤 Output Fields\n\nThe Actor produces clean, flat records in the default dataset. Below are the fields extracted:\n\n| Field | Type | Description |\n| ---------------- | ------- | --------------------------------------------------------------------------------- |\n| `fullName` | String | The full name of the user. |\n| `headline` | String | The profile's headline (often current job title/role). |\n| `about` | String | The user's biography/about summary. |\n| `location` | String | Geolocation (e.g. \"Redmond, Washington, United States\"). |\n| `currentCompany` | String | The company name of their current primary employment. |\n| `currentTitle` | String | Their current job title. |\n| `experience` | Array | Full employment history (company, company URL, title, location, start/end dates). |\n| `education` | Array | Education history (school name, school URL, start/end dates). |\n| `followers` | Integer | Total number of followers on their profile. |\n| `connections` | Integer | Total number of connections (if available). |\n| `skills` | Array | A list of endorsed/listed skills. |\n| `languages` | Array | Spoken/written languages. |\n| `profileUrl` | String | Canonical URL of the profile (`https://www.linkedin.com/in/`). |\n| `scrapeStatus` | String | Either `success` or `error`. |\n| `scrapedAt` | String | ISO timestamp of the scraping event. |\n\n### Example Output JSON\n\n```json\n{\n \"fullName\": \"Satya Nadella\",\n \"headline\": \"Chairman and CEO at Microsoft\",\n \"about\": \"Satya Nadella is Chairman and CEO of Microsoft...\",\n \"location\": \"Redmond, Washington, United States\",\n \"currentCompany\": \"Microsoft\",\n \"currentTitle\": \"Chairman and CEO\",\n \"experience\": [\n {\n \"company\": \"Microsoft\",\n \"companyUrl\": \"https://www.linkedin.com/company/microsoft\",\n \"location\": \"Greater Seattle Area\",\n \"title\": \"Chairman and CEO\",\n \"startDate\": \"2014-02\",\n \"endDate\": null\n }\n ],\n \"education\": [\n {\n \"school\": \"University of Chicago Booth School of Business\",\n \"schoolUrl\": \"https://www.linkedin.com/school/chicago-booth/\",\n \"startDate\": \"1995\",\n \"endDate\": \"1997\"\n }\n ],\n \"followers\": 10500000,\n \"connections\": 500,\n \"skills\": [\"Enterprise Software\", \"Cloud Computing\", \"SaaS\"],\n \"languages\": [\"English\", \"Hindi\"],\n \"profileUrl\": \"https://www.linkedin.com/in/satyanadella\",\n \"scrapeStatus\": \"success\",\n \"scrapedAt\": \"2026-06-21T18:45:00.000Z\"\n}\n```\n\n---\n\n## 💰 Pay-Per-Event (PPE) Pricing\n\nThis Actor is configured with Pay-Per-Event billing:\n\n1. **`actor-start`**: Charged once per Actor run to cover initialization costs.\n2. **`profile-scraped`**: Charged per successfully scraped profile. Profiles that fail to scrape (e.g. login-walled, invalid username) are marked with `scrapeStatus: 'error'` and are **not** charged the profile success fee.\n\n---\n\n## 🔗 Sibling Actors\n\nIf you are scraping LinkedIn data for lead generation or market analysis, you may also find our other specialized tools helpful:\n\n- **[LinkedIn Jobs Scraper](https://apify.com/gopalakrishnan/linkedin-jobs)**: Extract job listings, descriptions, salary details, and employer info without any session cookies.\n" }, "buildNumber": "1.0.2", "actVersion": { "sourceType": "SOURCE_FILES", "buildTag": "latest", "versionNumber": "1.0" }, "usage": { "ACTOR_COMPUTE_UNITS": 0.0031666666666666666 } } }