# LinkedIn Profile Scraper with Email (No Cookies) (`futurizerush/linkedin-profile-scraper`) Actor Extract structured data from public LinkedIn profile URLs — name, headline, work history, education, follower counts, websites. When the person has published their own email or phone openly in their profile content, the exact sentence is cited so you can verify each match. (Beta) - **URL**: https://apify.com/futurizerush/linkedin-profile-scraper.md - **Developed by:** [Rush](https://apify.com/futurizerush) (community) - **Categories:** AI, Agents, Lead generation - **Stats:** 9 total users, 7 monthly users, 98.1% runs succeeded, 1 bookmarks - **User rating**: No ratings yet ## Pricing from $10.00 / 1,000 results This Actor is paid per event. You are not charged for the Apify platform usage, but only a fixed price for specific events. Learn more: https://docs.apify.com/platform/actors/running/actors-in-store#pay-per-event ## What's an Apify Actor? Actors are a software tools running on the Apify platform, for all kinds of web data extraction and automation use cases. In Batch mode, an Actor accepts a well-defined JSON input, performs an action which can take anything from a few seconds to a few hours, and optionally produces a well-defined JSON output, datasets with results, or files in key-value store. In Standby mode, an Actor provides a web server which can be used as a website, API, or an MCP server. Actors are written with capital "A". ## How to integrate an Actor? If asked about integration, you help developers integrate Actors into their projects. You adapt to their stack and deliver integrations that are safe, well-documented, and production-ready. The best way to integrate Actors is as follows. In JavaScript/TypeScript projects, use official [JavaScript/TypeScript client](https://docs.apify.com/api/client/js.md): ```bash npm install apify-client ``` In Python projects, use official [Python client library](https://docs.apify.com/api/client/python.md): ```bash pip install apify-client ``` In shell scripts, use [Apify CLI](https://docs.apify.com/cli/docs.md): ````bash # MacOS / Linux curl -fsSL https://apify.com/install-cli.sh | bash # Windows irm https://apify.com/install-cli.ps1 | iex ```bash In AI frameworks, you might use the [Apify MCP server](https://docs.apify.com/platform/integrations/mcp.md). If your project is in a different language, use the [REST API](https://docs.apify.com/api/v2.md). For usage examples, see the [API](#api) section below. For more details, see Apify documentation as [Markdown index](https://docs.apify.com/llms.txt) and [Markdown full-text](https://docs.apify.com/llms-full.txt). # README ## LinkedIn Profile Scraper Extract structured data from public LinkedIn profile URLs — name, headline, work experience, education, follower counts, websites. When the person has published their own email or phone openly in the visible profile, those are surfaced too with a short excerpt of the surrounding text, so you can verify each match against where it appeared on the profile. Paste profile URLs in, get a clean dataset out. --- ### What you get per profile Every row in the output dataset includes: | Field | What it is | |-------|------------| | `firstName`, `lastName`, `fullName` | The person's name | | `headline` | The one-line summary under the name (current role, often "Title at Company") | | `about` | The longer "About" / bio text | | `location`, `city`, `country` | Full location label, the city alone, and the two-letter country code | | `profilePictureUrl` | Direct link to the profile photo | | `linkedinBadge` | LinkedIn's profile badge (e.g. `Top Voice`, `Creator`, `Creator, Top Voice`) when shown, otherwise null | | `followerCount` | The number of followers shown on the profile | | `connectionCount` | The number of connections shown on the profile. Empty when the profile shows "500+" rather than an exact number | | `experiences[]` | Each visible position with title, company, company LinkedIn link, dates, and a current/past flag | | `experiencesTruncated` | `true` when the visible work-history list may not be complete | | `currentCompany`, `currentTitle`, `currentCompanyLinkedinUrl` | The most recent position pulled out of `experiences[]` so it's easy to use in a spreadsheet | | `educations[]` | Each visible school with degree and field of study where LinkedIn shows them | | `emails[]` | Every email we found on the visible profile, each tagged with which field it came from (`source`) and a short surrounding excerpt (`sourceContext`) so you can verify it at a glance. Most public profiles don't include an email — when one is visible, this lists each match | | `email` | The first email from `emails[]` — easy to drop into a single-column export | | `phones[]` | Every phone we found, in international format, with the same source-citation as emails | | `phone` | The first phone from `phones[]` | | `websites[]` | Personal or company sites the person linked from their profile | | `inputUrl` | The URL exactly as you submitted it — useful for joining the dataset back to your input list | | `linkedinUrl`, `publicIdentifier` | The cleaned LinkedIn URL plus the handle that comes after `/in/` | | `urn` | LinkedIn's stable identifier for the person — useful for de-duplication, because unlike the handle it doesn't change when someone updates their profile URL | | `extractionWarnings` | Short notes about parts of the profile that were not visible — omitted when everything came through cleanly | | `succeeded`, `error`, `extractedAt` | Whether the row was retrieved cleanly, the reason if not, and when | --- ### Sample output (real cloud fetch) Input: ```json { "profileUrls": ["https://www.linkedin.com/in/satyanadella"] } ```` Output (truncated for brevity): ```json { "inputUrl": "https://www.linkedin.com/in/satyanadella", "linkedinUrl": "https://www.linkedin.com/in/satyanadella", "publicIdentifier": "satyanadella", "urn": "urn:li:member:19186432", "succeeded": true, "extractedAt": "2026-05-04T02:30:00.000Z", "firstName": "Satya", "lastName": "Nadella", "fullName": "Satya Nadella", "headline": "Chairman and CEO at Microsoft", "about": "As chairman and CEO of Microsoft, I define my mission and that of my company as empowering every person and every organization on the planet to achieve more.", "location": "Redmond, Washington, United States", "city": "Redmond", "country": "US", "profilePictureUrl": "https://media.licdn.com/dms/image/v2/C5603AQHHUuOSlRVA1w/profile-displayphoto-shrink_200_200/0/1656708712373", "linkedinBadge": "Creator, Top Voice", "followerCount": 11972578, "connectionCount": null, "experiences": [ { "title": "Chairman and CEO", "company": "Microsoft", "companyLinkedinUrl": "https://www.linkedin.com/company/microsoft", "startedOn": "2014-02", "endedOn": null, "isCurrent": true, "durationMonths": 147 }, { "title": "Member Board Of Trustees", "company": "University of Chicago", "companyLinkedinUrl": "https://www.linkedin.com/school/uchicago/", "startedOn": "2018", "endedOn": null, "isCurrent": true, "durationMonths": 100 }, { "title": "Board Member", "company": "Starbucks", "companyLinkedinUrl": "https://www.linkedin.com/company/starbucks", "startedOn": "2017", "endedOn": "2024", "isCurrent": false, "durationMonths": 84 } ], "currentCompany": "Microsoft", "currentTitle": "Chairman and CEO", "educations": [ { "school": "The University of Chicago Booth School of Business", "degree": null, "field": null, "startedOn": "1994", "endedOn": "1996" }, { "school": "Manipal Institute of Technology, Manipal", "degree": "Bachelor's Degree", "field": "Electrical Engineering", "startedOn": null, "endedOn": null }, { "school": "University of Wisconsin-Milwaukee", "degree": "Master's Degree", "field": "Computer Science", "startedOn": null, "endedOn": null } ], "websites": ["https://snscratchpad.com/"], "emails": [], "email": null, "phones": [], "phone": null } ``` When email or phone information appears in the public profile, you'll see entries like: ```json "emails": [ { "email": "jane.doe@acme.vc", "source": "about", "sourceContext": "…VC partner at Acme. Reach me at jane.doe@acme.vc for intros…", "isObfuscated": false } ] ``` `extractionWarnings` looks like: ```json "extractionWarnings": [ "this is a limited public view — most fields may be empty", "work history section was empty for this profile" ] ``` *** ### Input format ```json { "profileUrls": [ "https://www.linkedin.com/in/williamhgates", "https://www.linkedin.com/in/satyanadella" ] } ``` URL formats accepted: - `https://www.linkedin.com/in/{handle}` — the standard format - Country-prefixed links such as `https://br.linkedin.com/in/{handle}` — tidied up automatically - Trailing slashes and tracking parameters are tidied up automatically — no need to clean URLs by hand - URLs pointing to the same person are processed only once per run, even when submitted in different formats *** ### What's not in the output These fields don't appear on the public profile pages this actor reads: - `mobileNumber` as a separate field — phones live in `phones[]` only - "Verified email" status — the output reports what was found, not whether the address is currently deliverable - `skills`, `languages`, `certifications`, `publications`, `volunteer`, `recommendations`, `honors`, `projects` - Per-experience `location` and `description` — these are part of the row shape but LinkedIn doesn't include them on the public profile view, so they come back `null` - Verification badge - Company industry / size / website / founded year — these live on each company's own page rather than the person's profile *** ### FAQ **Why is `email` sometimes `null`?** We surface an email only when the person has published it themselves on the visible profile. We don't guess from name + domain patterns and we don't query third-party email databases. If you see `null`, the person simply didn't include one. **What does "cited email" mean?** Every email and phone in the output includes the field name (`source`) and a short surrounding excerpt (`sourceContext`), so you can audit each match against where it appeared on the profile. **Why does `about` sometimes come back `null`?** LinkedIn hides the bio section for some profiles. When that happens, we leave `about` empty and add a note to `extractionWarnings` so you can see why the field is blank for that row. **Do you support Sales Navigator URLs?** No — see "Input format" above for the URL formats this actor accepts. **Can I scrape private profiles?** No. The row will appear in your dataset with `succeeded: false` so you can see which inputs didn't yield data. **Why do I sometimes see "LinkedIn asked us to sign in — try again later"?** This means LinkedIn didn't return the public profile content for that request. It's usually transient — the affected row is marked failed and you can re-run the URL later. **Why do some profiles consistently return "could not load this profile"?** The same message covers two situations that look identical from outside: (1) the handle in the URL doesn't match any profile (typo or made-up name), or (2) LinkedIn is currently restricting public access to that profile. There's no way to tell them apart from the response itself, so the message names both possibilities. First check the URL spelling; if the profile loads fine in your own browser but consistently fails here, the second case is the most likely. **Will scraping LinkedIn at scale get me into trouble?** You are responsible for ensuring your use of this actor complies with applicable terms of service, data-protection laws (GDPR, CCPA, etc.), and any rules in your jurisdiction. **What if a profile's data looks incomplete?** Some sections aren't visible on every profile. Missing parts are listed in `extractionWarnings`. **Could a profile appear twice in my dataset?** Rarely. If a run is interrupted and resumed, a few profiles already delivered may be processed again. If duplicate-free output matters, deduplicate on `linkedinUrl` — that field is normalised, so the same person comes back as the same string regardless of which URL form was submitted. **Why do I sometimes see 🔁 "trying again" in the logs?** The actor will retry a profile on its own when the first attempt didn't succeed. This is automatic and you don't need to do anything. *** ### Disclaimer This actor reads only publicly visible information from LinkedIn profile pages — the same content any logged-out visitor would see. No LinkedIn account or login of yours is required. You are responsible for complying with applicable terms of service, data protection laws (GDPR, CCPA, etc.), any contractual obligations relating to the data you collect, and the rules of your jurisdiction. This actor is in active development (beta). It may contain undiscovered bugs or edge cases, and LinkedIn occasionally changes its public profile pages — when that happens, some fields may temporarily come back empty until the actor is updated. Before running a large batch, try the actor on a small sample (5–10 profiles) to confirm the output meets your needs. If you encounter unexpected behaviour, please report it through the actor's page on Apify Store and include a sample input that reproduces the issue. The actor is provided as-is, with no warranty of accuracy, completeness, or fitness for any particular purpose. LinkedIn is a registered trademark of LinkedIn Corporation. This actor is not affiliated with, endorsed by, or sponsored by LinkedIn. *** ### Try other Apify actors by the same author Browse the catalogue: [apify.com/futurizerush](https://apify.com/futurizerush?fpr=rush) *** LinkedIn Profile Scraper, LinkedIn Email Finder, Lead Generation, Bulk LinkedIn Extractor, Public Profile Data, B2B Sales Data, Recruiter Tool, Contact Enrichment, Claude Code, OpenClaw, Gemini, Antigravity, Codex, ChatGPT # Actor input Schema ## `profileUrls` (type: `array`): One or more public LinkedIn profile URLs. Country-specific links (e.g. br.linkedin.com, uk.linkedin.com) are accepted — we tidy them up automatically. ## Actor input object example ```json { "profileUrls": [ "https://www.linkedin.com/in/williamhgates", "https://www.linkedin.com/in/satyanadella" ] } ``` # Actor output Schema ## `profiles` (type: `string`): Open the dataset to see one row per LinkedIn profile URL submitted. # API You can run this Actor programmatically using our API. Below are code examples in JavaScript, Python, and CLI, as well as the OpenAPI specification and MCP server setup. ## JavaScript example ```javascript import { ApifyClient } from 'apify-client'; // Initialize the ApifyClient with your Apify API token // Replace the '' with your token const client = new ApifyClient({ token: '', }); // Prepare Actor input const input = { "profileUrls": [ "https://www.linkedin.com/in/williamhgates", "https://www.linkedin.com/in/satyanadella" ] }; // Run the Actor and wait for it to finish const run = await client.actor("futurizerush/linkedin-profile-scraper").call(input); // Fetch and print Actor results from the run's dataset (if any) console.log('Results from dataset'); console.log(`💾 Check your data here: https://console.apify.com/storage/datasets/${run.defaultDatasetId}`); const { items } = await client.dataset(run.defaultDatasetId).listItems(); items.forEach((item) => { console.dir(item); }); // 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/js/docs ``` ## Python example ```python from apify_client import ApifyClient # Initialize the ApifyClient with your Apify API token # Replace '' with your token. client = ApifyClient("") # Prepare the Actor input run_input = { "profileUrls": [ "https://www.linkedin.com/in/williamhgates", "https://www.linkedin.com/in/satyanadella", ] } # Run the Actor and wait for it to finish run = client.actor("futurizerush/linkedin-profile-scraper").call(run_input=run_input) # Fetch and print Actor results from the run's dataset (if there are any) print("💾 Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"]) for item in client.dataset(run["defaultDatasetId"]).iterate_items(): print(item) # 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start ``` ## CLI example ```bash echo '{ "profileUrls": [ "https://www.linkedin.com/in/williamhgates", "https://www.linkedin.com/in/satyanadella" ] }' | apify call futurizerush/linkedin-profile-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=futurizerush/linkedin-profile-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "LinkedIn Profile Scraper with Email (No Cookies)", "description": "Extract structured data from public LinkedIn profile URLs — name, headline, work history, education, follower counts, websites. When the person has published their own email or phone openly in their profile content, the exact sentence is cited so you can verify each match. (Beta)", "version": "0.0", "x-build-id": "675igL7aNZsRV5aX3" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/futurizerush~linkedin-profile-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-futurizerush-linkedin-profile-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for its completion, and returns Actor's dataset items in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/futurizerush~linkedin-profile-scraper/runs": { "post": { "operationId": "runs-sync-futurizerush-linkedin-profile-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK", "content": { "application/json": { "schema": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/futurizerush~linkedin-profile-scraper/run-sync": { "post": { "operationId": "run-sync-futurizerush-linkedin-profile-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } } }, "components": { "schemas": { "inputSchema": { "type": "object", "required": [ "profileUrls" ], "properties": { "profileUrls": { "title": "🔗 LinkedIn profile URLs", "minItems": 1, "maxItems": 1000, "type": "array", "description": "One or more public LinkedIn profile URLs. Country-specific links (e.g. br.linkedin.com, uk.linkedin.com) are accepted — we tidy them up automatically.", "items": { "type": "string" } } } }, "runsResponseSchema": { "type": "object", "properties": { "data": { "type": "object", "properties": { "id": { "type": "string" }, "actId": { "type": "string" }, "userId": { "type": "string" }, "startedAt": { "type": "string", "format": "date-time", "example": "2025-01-08T00:00:00.000Z" }, "finishedAt": { "type": "string", "format": "date-time", "example": "2025-01-08T00:00:00.000Z" }, "status": { "type": "string", "example": "READY" }, "meta": { "type": "object", "properties": { "origin": { "type": "string", "example": "API" }, "userAgent": { "type": "string" } } }, "stats": { "type": "object", "properties": { "inputBodyLen": { "type": "integer", "example": 2000 }, "rebootCount": { "type": "integer", "example": 0 }, "restartCount": { "type": "integer", "example": 0 }, "resurrectCount": { "type": "integer", "example": 0 }, "computeUnits": { "type": "integer", "example": 0 } } }, "options": { "type": "object", "properties": { "build": { "type": "string", "example": "latest" }, "timeoutSecs": { "type": "integer", "example": 300 }, "memoryMbytes": { "type": "integer", "example": 1024 }, "diskMbytes": { "type": "integer", "example": 2048 } } }, "buildId": { "type": "string" }, "defaultKeyValueStoreId": { "type": "string" }, "defaultDatasetId": { "type": "string" }, "defaultRequestQueueId": { "type": "string" }, "buildNumber": { "type": "string", "example": "1.0.0" }, "containerUrl": { "type": "string" }, "usage": { "type": "object", "properties": { "ACTOR_COMPUTE_UNITS": { "type": "integer", "example": 0 }, "DATASET_READS": { "type": "integer", "example": 0 }, "DATASET_WRITES": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_READS": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_WRITES": { "type": "integer", "example": 1 }, "KEY_VALUE_STORE_LISTS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_READS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_WRITES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_INTERNAL_GBYTES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_EXTERNAL_GBYTES": { "type": "integer", "example": 0 }, "PROXY_RESIDENTIAL_TRANSFER_GBYTES": { "type": "integer", "example": 0 }, "PROXY_SERPS": { "type": "integer", "example": 0 } } }, "usageTotalUsd": { "type": "number", "example": 0.00005 }, "usageUsd": { "type": "object", "properties": { "ACTOR_COMPUTE_UNITS": { "type": "integer", "example": 0 }, "DATASET_READS": { "type": "integer", "example": 0 }, "DATASET_WRITES": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_READS": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_WRITES": { "type": "number", "example": 0.00005 }, "KEY_VALUE_STORE_LISTS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_READS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_WRITES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_INTERNAL_GBYTES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_EXTERNAL_GBYTES": { "type": "integer", "example": 0 }, "PROXY_RESIDENTIAL_TRANSFER_GBYTES": { "type": "integer", "example": 0 }, "PROXY_SERPS": { "type": "integer", "example": 0 } } } } } } } } } } ```