# LinkedIn People Search Scraper (`crawlerbros/linkedin-people-search-scraper`) Actor Search LinkedIn for people by name, title, or keyword. Filter by location, company, school, or connection degree. Returns profile URLs, headlines, and contact details. - **URL**: https://apify.com/crawlerbros/linkedin-people-search-scraper.md - **Developed by:** [Crawler Bros](https://apify.com/crawlerbros) (community) - **Categories:** Lead generation, Automation, Social media - **Stats:** 1 total users, 0 monthly users, 0.0% runs succeeded, 0 bookmarks - **User rating**: No ratings yet ## Pricing from $3.00 / 1,000 results This Actor is paid per event and usage. You are charged both the fixed price for specific events and for Apify platform usage. Since this Actor supports Apify Store discounts, the price gets lower the higher subscription plan you have. 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 People Search Scraper Search LinkedIn for people by name, job title, keyword, or any combination. Filter results by location, company, school, and connection degree. Returns structured profile data including name, headline, location, connection degree, profile URL, and profile picture. ### What It Does This actor calls LinkedIn's Voyager search API (the same API your browser uses) with your session cookie to return people search results. It supports pagination to retrieve up to 100 profiles per run. **Key capabilities:** - Search by any keyword: name, title, skills, company, industry - Filter by connection degree (1st, 2nd, 3rd+) - Append location, company, or school terms to refine results - Returns profile URLs, headlines, locations, connection degree, and profile pictures - Deduplicates results across pages --- ### Input | Field | Type | Required | Description | |-------|------|----------|-------------| | `searchQuery` | String | Yes | Keywords to search for. E.g. `"software engineer"`, `"John Smith"`, `"product manager Google"` | | `cookie` | String | Yes | Your LinkedIn session cookie. See [Cookie Setup](#cookie-setup) below | | `location` | String | No | Location to filter by. E.g. `"San Francisco Bay Area"`, `"United Kingdom"` | | `currentCompany` | String | No | Filter by current company name. E.g. `"Google"`, `"Microsoft"` | | `pastCompany` | String | No | Filter by past company name | | `school` | String | No | Filter by school/university. E.g. `"Stanford University"`, `"MIT"` | | `connectionDegree` | Select | No | Filter by connection degree: Any / 1st degree / 2nd degree / 3rd+ degree | | `maxResults` | Number | No | Maximum number of profiles to return (1–100, default: 25) | | `proxyConfiguration` | Object | No | Apify proxy configuration (optional) | --- ### Output Each profile in the dataset contains: | Field | Type | Description | |-------|------|-------------| | `name` | String | Full name of the person | | `headline` | String | Professional headline / job title | | `location` | String | Location shown on LinkedIn profile | | `connectionDegree` | String | Connection degree to your account (`"1st"`, `"2nd"`, `"3rd+"`) | | `profileUrl` | String | Full LinkedIn profile URL | | `profilePicture` | String | Profile picture URL (when available) | | `mutualConnections` | String | Mutual connections text (e.g. `"5 mutual connections"`) | | `scrapedAt` | String | ISO 8601 UTC timestamp of when the record was scraped | #### Example Output ```json [ { "name": "Alice Johnson", "headline": "Senior Software Engineer at Stripe", "location": "San Francisco Bay Area", "connectionDegree": "2nd", "profileUrl": "https://www.linkedin.com/in/alicejohnson/", "profilePicture": "https://media.licdn.com/dms/image/C4E03AQ.../200_200/photo.jpg", "mutualConnections": "12 mutual connections", "scrapedAt": "2026-06-08T12:00:00+00:00" }, { "name": "Bob Williams", "headline": "Product Manager at Notion", "location": "New York City Metropolitan Area", "connectionDegree": "3rd+", "profileUrl": "https://www.linkedin.com/in/bobwilliams/", "scrapedAt": "2026-06-08T12:00:01+00:00" } ] ```` *** ### Cookie Setup LinkedIn requires authentication for search. The actor uses your existing LinkedIn session cookie — **your credentials are never sent anywhere except LinkedIn's own servers**. #### Method 1: Copy the `li_at` token (simplest) 1. Open [linkedin.com](https://www.linkedin.com) and sign in 2. Open **DevTools** (F12 or Cmd+Option+I) 3. Go to **Application** → **Cookies** → `https://www.linkedin.com` 4. Find the cookie named `li_at` 5. Copy the **Value** column 6. Paste it into the `cookie` field #### Method 2: Export full cookie JSON (more reliable) 1. Install the [EditThisCookie](https://www.editthiscookie.com/) browser extension 2. Visit [linkedin.com](https://www.linkedin.com) while signed in 3. Click the extension icon → **Export** (copies a JSON array to clipboard) 4. Paste the full JSON array into the `cookie` field The actor accepts either format automatically. > **Important:** Your cookie is a sensitive credential. Use `isSecret: true` in Apify UI (the field is already marked secret in this actor's schema). Never share your `li_at` token. *** ### Filter Combinations with Examples #### Search by keyword + location ```json { "searchQuery": "data scientist", "cookie": "", "location": "London" } ``` #### Find 1st-degree connections at a specific company ```json { "searchQuery": "product manager", "cookie": "", "currentCompany": "Airbnb", "connectionDegree": "F" } ``` #### Find alumni from a school ```json { "searchQuery": "software engineer", "cookie": "", "school": "MIT" } ``` #### Narrow 2nd-degree connections by location and company ```json { "searchQuery": "VP Engineering", "cookie": "", "location": "New York", "currentCompany": "Goldman Sachs", "connectionDegree": "S" } ``` #### Search for a specific person ```json { "searchQuery": "John Smith product manager", "cookie": "", "maxResults": 10 } ``` *** ### Notes and Limitations - **Authentication required:** LinkedIn search is only accessible to logged-in users. The actor requires a valid `li_at` session cookie. - **Results vary by account:** LinkedIn personalises search results based on your network, location, and account type. Identical searches from different accounts may return different results. - **Connection degree filter:** Filtering by connection degree (1st, 2nd, 3rd+) uses LinkedIn's native `network` filter and respects your actual network graph. - **Rate limiting:** The actor paces requests with 2–5 second delays to avoid triggering LinkedIn's rate limits. For large result sets (100 profiles), expect runs of 3–5 minutes. - **Maximum results:** LinkedIn's Voyager search API supports a maximum of 1,000 results per query (100 pages × 10 per page). This actor is capped at 100 for reliability. - **Cookie expiry:** LinkedIn session cookies typically expire after 1 year, but LinkedIn may invalidate them sooner. If you get an auth error, refresh your cookie. - **Location / company filters:** These terms are appended to the keyword search because LinkedIn's blended search API does not accept separate structured filter parameters for them (unlike the dedicated `/people` search endpoint which requires entity IDs). Results are highly accurate for well-known company names and locations. *** ### FAQs **Q: Does this store or share my LinkedIn cookie?** A: No. Your cookie is used only to authenticate requests to LinkedIn's API during the run. It is stored in Apify's encrypted input store and is marked as a secret field (not shown in logs). **Q: Will LinkedIn detect or block this scraper?** A: The actor uses LinkedIn's official Voyager API (the same endpoints your browser uses) and paces requests to avoid rate limits. However, very aggressive usage from a single account may trigger LinkedIn's abuse detection. Use reasonable `maxResults` values and don't run multiple concurrent instances on the same account. **Q: Can I scrape profiles without a cookie?** A: No. LinkedIn's people search requires authentication. Without a valid session cookie, all search API calls return 401. **Q: Why is `connectionDegree` empty for some profiles?** A: LinkedIn only shows connection degree for profiles that appear in your network graph. Profiles outside your network (e.g. some 3rd-degree connections) may not have a degree badge. **Q: Why do some profiles not have a profile picture?** A: LinkedIn users can set their profile picture to be visible only to connections. The actor extracts the picture URL when it is returned by the search API; it does not attempt to access pictures restricted to connections. **Q: Can I search for people at a specific company?** A: Yes — use the `currentCompany` filter for current employees or `pastCompany` for alumni. For best results, use the exact company name as it appears on LinkedIn. **Q: What is the difference between connection degree values?** A: `F` = 1st degree (direct connections), `S` = 2nd degree (connections of connections), `O` = 3rd degree and beyond. Leave blank to search all degrees. *** ### Data Source This actor uses LinkedIn's Voyager API — the private JSON API that powers LinkedIn's web application. It is the same data source your browser accesses when you perform a people search on linkedin.com. ### Explore the rest of the LinkedIn suite Need a different LinkedIn surface? Pair this actor with any of the others in the LinkedIn Suite — all published under the same publisher and built to share the same cookie format and output conventions. | Actor | What it scrapes | |---|---| | [LinkedIn Comments Scraper](https://apify.com/crawlerbros/linkedin-comments-scraper) | All comments + reply threads on a post | | [LinkedIn Company Employees Scraper](https://apify.com/crawlerbros/linkedin-company-employees-scraper) | Employee list for any company (by URN) | | [LinkedIn Company Info Scraper](https://apify.com/crawlerbros/linkedin-company-info-scraper) | Company About page (size, HQ, industry, specialties) | | [LinkedIn Company Posts Scraper](https://apify.com/crawlerbros/linkedin-company-posts-scraper) | Posts published from a company page | | [LinkedIn Events Scraper](https://apify.com/crawlerbros/linkedin-events-scraper) | Events by keyword/URL with full event detail | | [LinkedIn Hashtag Posts Scraper](https://apify.com/crawlerbros/linkedin-hashtag-posts-scraper) | Posts ranked under a `#hashtag` | | [LinkedIn Jobs Scraper](https://apify.com/crawlerbros/linkedin-jobs-scraper) | Job listings via the public jobs-guest API | | [LinkedIn Jobs Scraper Ultra](https://apify.com/crawlerbros/linkedin-jobs-scraper-ultra) | Same as jobs-scraper + full detail enrichment | | [LinkedIn Learning Courses Scraper](https://apify.com/crawlerbros/linkedin-learning-courses-scraper) | LinkedIn Learning course catalog by keyword | | [LinkedIn Post Reactions Scraper](https://apify.com/crawlerbros/linkedin-post-reactions-scraper) | Reactors on a post (name, headline, reaction type) | | [LinkedIn Post Scraper](https://apify.com/crawlerbros/linkedin-post-scraper) | Full post (text, media, engagement counts, author) | | [LinkedIn Post Search Scraper](https://apify.com/crawlerbros/linkedin-post-search-scraper) | Posts matching a keyword (with date/author/network filters) | | [LinkedIn Profile Posts Scraper](https://apify.com/crawlerbros/linkedin-profile-posts-scraper) | All posts/reposts/articles for one profile | | [LinkedIn Profile Scraper](https://apify.com/crawlerbros/linkedin-profile-scraper) | Public profile fields (name, headline, positions, education, skills) | | [LinkedIn Profile Scraper Pro](https://apify.com/crawlerbros/linkedin-profile-scraper-pro) | Profile fields + extras (recommendations, organizations, languages) | | [LinkedIn Profile Scraper Pro Ultra](https://apify.com/crawlerbros/linkedin-profile-scraper-pro-ultra) | Pro + premium fields (contact info, followers list when allowed) | | [LinkedIn Profile Scraper Ultra](https://apify.com/crawlerbros/linkedin-profile-scraper-ultra) | Profile + the full upstream dash-120 surface | | [LinkedIn Profile Search by Name](https://apify.com/crawlerbros/linkedin-profile-search-by-name) | Search profiles by person name (great for matching CSVs of names) | | [LinkedIn Schools Alumni Scraper](https://apify.com/crawlerbros/linkedin-schools-alumni-scraper) | Alumni list for any LinkedIn school page | | [LinkedIn Top Content Scraper](https://apify.com/crawlerbros/linkedin-top-content-scraper) | Trending / top-engagement posts by topic | | [LinkedIn User Activity Scraper](https://apify.com/crawlerbros/linkedin-user-activity-scraper) | Reactions + comments + posts feed for one profile | All actors share the same `cookie` input format (plain `li_at` OR full cookies JSON array) and the same omit-empty output convention. # Actor input Schema ## `searchQuery` (type: `string`): Search keywords for finding people on LinkedIn. Examples: 'software engineer', 'John Smith', 'product manager Google' ## `keywords` (type: `string`): Optional companion to Search Query. When both are set, they are combined with a space. Use this to keep a primary role in Search Query and add modifiers (industry buzzwords, tools) here. ## `cookie` (type: `string`): Your LinkedIn session cookie. Accepts either: (1) the li\_at value from browser DevTools → Application → Cookies, or (2) full cookies JSON array exported from an extension like EditThisCookie. ## `location` (type: `string`): Filter results by location (city, state, or country). Example: 'San Francisco Bay Area', 'New York', 'United Kingdom' ## `currentCompany` (type: `string`): Filter by current company. Accepts a company name (e.g. 'Google') or a LinkedIn fsd\_company URN/numeric ID. URN format produces the strict structured currentCompany filter; plain names are added to keywords. ## `pastCompany` (type: `string`): Filter by past company. Accepts a company name or a LinkedIn fsd\_company URN/numeric ID. ## `school` (type: `string`): Filter by school or university attended. Accepts a school name or a LinkedIn fsd\_school URN/numeric ID. Example: 'Stanford University', 'MIT', or '12345'. ## `firstNameKeyword` (type: `string`): Filter by first name token. Adds a strict firstName filter to the search. ## `lastNameKeyword` (type: `string`): Filter by last name token. Adds a strict lastName filter to the search. ## `titleKeyword` (type: `string`): Filter by current job title keyword (e.g. 'Director of Engineering', 'CTO'). Different from Industry / Job Function — this is the free-text title. ## `serviceCategory` (type: `string`): Filter by LinkedIn Services Marketplace category (e.g. 'Web Development', 'Marketing Strategy'). ## `companyHeadcount` (type: `array`): Filter by employer company size. A=Self-employed, B=1-10, C=11-50, D=51-200, E=201-500, F=501-1,000, G=1,001-5,000, H=5,001-10,000, I=10,001+. ## `followerOf` (type: `string`): Filter to people who follow a specific company. Accepts an fsd\_company URN or numeric company ID. ## `geoUrn` (type: `string`): Precise location filter using a LinkedIn geo URN or numeric geo ID (e.g. '103644278' for the United States). Use this for strict geographic filtering instead of the free-text Location field. ## `connectionDegree` (type: `string`): Filter by connection degree to your account. ## `industry` (type: `string`): Filter results by industry. Applied to both Voyager filters and the HTML search URL. ## `seniorityLevel` (type: `string`): Filter results by seniority level. ## `yearsOfExperience` (type: `string`): Filter results by years of total professional experience. 1=Less than 1 year, 2=1-2 years, 3=3-5 years, 4=6-10 years, 5=11-15 years, 6=16+ years. ## `jobFunction` (type: `string`): Filter results by job function / department. ## `openTo` (type: `array`): Filter people by what they are open to. Select one or more options. HIRING = open to hiring, GETTING\_HIRED = open to new jobs, PROVIDING\_SERVICES = open to providing freelance/consulting services, JOINING\_A\_NONPROFIT = open to joining a nonprofit. ## `profileLanguages` (type: `array`): Filter by the language(s) the person's LinkedIn profile is written in. Use ISO 639-1 codes, e.g. \["en", "es", "fr", "de", "zh", "ar", "pt"]. ## `contactOf` (type: `string`): Filter to show people who are connections of the specified LinkedIn member. Provide the member's URN (e.g. 'urn:li:member:123456') or numeric profile ID. ## `talksAbout` (type: `string`): Filter to people who talk about the specified keyword or topic in their profile. This is appended to the search keywords. ## `maxResults` (type: `integer`): Maximum number of profiles to return. ## `proxyConfiguration` (type: `object`): Optional Apify proxy configuration. ## Actor input object example ```json { "searchQuery": "software engineer", "connectionDegree": "", "industry": "", "seniorityLevel": "", "yearsOfExperience": "", "jobFunction": "", "maxResults": 25 } ``` # 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 = { "searchQuery": "software engineer", "maxResults": 25 }; // Run the Actor and wait for it to finish const run = await client.actor("crawlerbros/linkedin-people-search-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 = { "searchQuery": "software engineer", "maxResults": 25, } # Run the Actor and wait for it to finish run = client.actor("crawlerbros/linkedin-people-search-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 '{ "searchQuery": "software engineer", "maxResults": 25 }' | apify call crawlerbros/linkedin-people-search-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=crawlerbros/linkedin-people-search-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "LinkedIn People Search Scraper", "description": "Search LinkedIn for people by name, title, or keyword. Filter by location, company, school, or connection degree. Returns profile URLs, headlines, and contact details.", "version": "1.30", "x-build-id": "pgrzBO4MWgxsn0Bne" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/crawlerbros~linkedin-people-search-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-crawlerbros-linkedin-people-search-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/crawlerbros~linkedin-people-search-scraper/runs": { "post": { "operationId": "runs-sync-crawlerbros-linkedin-people-search-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/crawlerbros~linkedin-people-search-scraper/run-sync": { "post": { "operationId": "run-sync-crawlerbros-linkedin-people-search-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": [ "searchQuery", "cookie" ], "properties": { "searchQuery": { "title": "Search Query", "type": "string", "description": "Search keywords for finding people on LinkedIn. Examples: 'software engineer', 'John Smith', 'product manager Google'" }, "keywords": { "title": "Extra Keywords", "type": "string", "description": "Optional companion to Search Query. When both are set, they are combined with a space. Use this to keep a primary role in Search Query and add modifiers (industry buzzwords, tools) here." }, "cookie": { "title": "LinkedIn Cookie", "type": "string", "description": "Your LinkedIn session cookie. Accepts either: (1) the li_at value from browser DevTools → Application → Cookies, or (2) full cookies JSON array exported from an extension like EditThisCookie." }, "location": { "title": "Location Filter", "type": "string", "description": "Filter results by location (city, state, or country). Example: 'San Francisco Bay Area', 'New York', 'United Kingdom'" }, "currentCompany": { "title": "Current Company Filter", "type": "string", "description": "Filter by current company. Accepts a company name (e.g. 'Google') or a LinkedIn fsd_company URN/numeric ID. URN format produces the strict structured currentCompany filter; plain names are added to keywords." }, "pastCompany": { "title": "Past Company Filter", "type": "string", "description": "Filter by past company. Accepts a company name or a LinkedIn fsd_company URN/numeric ID." }, "school": { "title": "School Filter", "type": "string", "description": "Filter by school or university attended. Accepts a school name or a LinkedIn fsd_school URN/numeric ID. Example: 'Stanford University', 'MIT', or '12345'." }, "firstNameKeyword": { "title": "First Name", "type": "string", "description": "Filter by first name token. Adds a strict firstName filter to the search." }, "lastNameKeyword": { "title": "Last Name", "type": "string", "description": "Filter by last name token. Adds a strict lastName filter to the search." }, "titleKeyword": { "title": "Job Title", "type": "string", "description": "Filter by current job title keyword (e.g. 'Director of Engineering', 'CTO'). Different from Industry / Job Function — this is the free-text title." }, "serviceCategory": { "title": "Service Category", "type": "string", "description": "Filter by LinkedIn Services Marketplace category (e.g. 'Web Development', 'Marketing Strategy')." }, "companyHeadcount": { "title": "Company Headcount", "type": "array", "description": "Filter by employer company size. A=Self-employed, B=1-10, C=11-50, D=51-200, E=201-500, F=501-1,000, G=1,001-5,000, H=5,001-10,000, I=10,001+.", "items": { "type": "string", "enum": [ "A", "B", "C", "D", "E", "F", "G", "H", "I" ], "enumTitles": [ "Self-employed", "1-10 employees", "11-50 employees", "51-200 employees", "201-500 employees", "501-1,000 employees", "1,001-5,000 employees", "5,001-10,000 employees", "10,001+ employees" ] } }, "followerOf": { "title": "Followers of Company", "type": "string", "description": "Filter to people who follow a specific company. Accepts an fsd_company URN or numeric company ID." }, "geoUrn": { "title": "Location URN", "type": "string", "description": "Precise location filter using a LinkedIn geo URN or numeric geo ID (e.g. '103644278' for the United States). Use this for strict geographic filtering instead of the free-text Location field." }, "connectionDegree": { "title": "Connection Degree", "enum": [ "", "F", "S", "O" ], "type": "string", "description": "Filter by connection degree to your account.", "default": "" }, "industry": { "title": "Industry", "enum": [ "", "Software Development", "Financial Services", "Healthcare", "Education", "Marketing and Advertising", "Consulting", "Hospitality", "Real Estate", "Manufacturing", "Retail", "Media", "Government Administration", "Non-profit Organization Management" ], "type": "string", "description": "Filter results by industry. Applied to both Voyager filters and the HTML search URL.", "default": "" }, "seniorityLevel": { "title": "Seniority Level", "enum": [ "", "Entry level", "Associate", "Mid-Senior level", "Director", "Executive" ], "type": "string", "description": "Filter results by seniority level.", "default": "" }, "yearsOfExperience": { "title": "Years of Experience", "enum": [ "", "1", "2", "3", "4", "5", "6" ], "type": "string", "description": "Filter results by years of total professional experience. 1=Less than 1 year, 2=1-2 years, 3=3-5 years, 4=6-10 years, 5=11-15 years, 6=16+ years.", "default": "" }, "jobFunction": { "title": "Job Function", "enum": [ "", "ARTS_AND_DESIGN", "BUSINESS_DEVELOPMENT", "COMMUNITY_AND_SOCIAL_SERVICES", "CONSULTING", "EDUCATION", "ENGINEERING", "ENTREPRENEURSHIP", "FINANCE", "HEALTHCARE_SERVICES", "HUMAN_RESOURCES", "INFORMATION_TECHNOLOGY", "LEGAL", "MANAGEMENT", "MARKETING", "MEDIA_AND_COMMUNICATION", "MILITARY_AND_PROTECTIVE_SERVICES", "OPERATIONS", "PRODUCT_MANAGEMENT", "PROGRAM_AND_PROJECT_MANAGEMENT", "PURCHASING", "QUALITY_ASSURANCE", "REAL_ESTATE", "RESEARCH", "SALES", "SUPPORT" ], "type": "string", "description": "Filter results by job function / department.", "default": "" }, "openTo": { "title": "Open To", "type": "array", "description": "Filter people by what they are open to. Select one or more options. HIRING = open to hiring, GETTING_HIRED = open to new jobs, PROVIDING_SERVICES = open to providing freelance/consulting services, JOINING_A_NONPROFIT = open to joining a nonprofit.", "items": { "type": "string", "enum": [ "HIRING", "GETTING_HIRED", "PROVIDING_SERVICES", "JOINING_A_NONPROFIT" ], "enumTitles": [ "Open to Hiring", "Open to New Jobs", "Open to Providing Services", "Open to Joining a Nonprofit" ] } }, "profileLanguages": { "title": "Profile Languages", "type": "array", "description": "Filter by the language(s) the person's LinkedIn profile is written in. Use ISO 639-1 codes, e.g. [\"en\", \"es\", \"fr\", \"de\", \"zh\", \"ar\", \"pt\"].", "items": { "type": "string" } }, "contactOf": { "title": "Contact Of (Member URN or Profile ID)", "type": "string", "description": "Filter to show people who are connections of the specified LinkedIn member. Provide the member's URN (e.g. 'urn:li:member:123456') or numeric profile ID." }, "talksAbout": { "title": "Talks About (Keyword / Topic)", "type": "string", "description": "Filter to people who talk about the specified keyword or topic in their profile. This is appended to the search keywords." }, "maxResults": { "title": "Max Results", "minimum": 1, "maximum": 100, "type": "integer", "description": "Maximum number of profiles to return.", "default": 25 }, "proxyConfiguration": { "title": "Proxy Configuration", "type": "object", "description": "Optional Apify proxy configuration." } } }, "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 } } } } } } } } } } ```