# LinkedIn Company Associated Members Scraper (`scraper-engine/linkedin-company-associated-members-scraper`) Actor - **URL**: https://apify.com/scraper-engine/linkedin-company-associated-members-scraper.md - **Developed by:** [Scraper Engine](https://apify.com/scraper-engine) (community) - **Categories:** Lead generation, Social media, Developer tools - **Stats:** 1 total users, 0 monthly users, 0.0% runs succeeded, NaN bookmarks - **User rating**: No ratings yet ## Pricing from $4.99 / 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. 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 Company Associated Members Scraper > **Bulk-scrape LinkedIn company pages for aggregated people insights, affiliated pages, and associated member profiles — at scale, in real time.** Provide a list of LinkedIn **company URLs** (e.g. `https://www.linkedin.com/company/google`) and the actor returns: - 📊 Aggregated **people facets** — top employers, locations, schools, service categories, network distance breakdown - 🏷️ **Affiliated pages** — showcase pages, subsidiaries, acquired companies - 👥 **Associated member profiles** — name, headline, location, LinkedIn URL Every record streams to the dataset the moment it finishes scraping, so partial results are always available even if the run is interrupted. --- ### ✨ Why Choose This Actor? - ⚡ **Bulk lookup** — feed hundreds of company URLs in one run - 🌐 **Smart proxy ladder** — starts direct, auto-escalates 🟢 Direct → 🟡 Datacenter → 🔴 Residential **only when blocked** - 🛡️ **Browser-grade TLS impersonation** — `curl_cffi` with Chrome 131 fingerprint sneaks past basic anti-bot defenses without spawning a headless browser - 📡 **Real-time table output** — each company is a row, every section a column - 🍪 **Cookie-based auth** — bring your own `li_at`, no scraping farms - 🔄 **Self-healing queryIds** — discovers LinkedIn's rotating GraphQL hashes from the live page; baked-in fallbacks if discovery is blocked --- ### 🔑 Key Features | Feature | Description | |---------|-------------| | 🔗 **Bulk URL input** | Paste any number of company URLs — one per line | | 🌐 **Auto proxy fallback** | 🟢 Direct → 🟡 Datacenter → 🔴 Residential (3 retries) | | 📡 **Real-time output** | Each company is pushed live to the dataset | | 🧮 **Per-section columns** | Locations, Schools, Service Categories, Affiliated Pages, Profiles — each as its own table column | | 🍪 **Session-cookie auth** | Bring your own `li_at` cookie | | ⏱️ **Configurable delay** | Random jitter on top of your throttle | | 🛟 **Graceful errors** | A failed company doesn't kill the run — it lands in the dataset with an `error` field | --- ### 📥 Input ```json { "urls": [ "https://www.linkedin.com/company/google", "https://www.linkedin.com/company/amazon" ], "liAt": "AQEDAU...your_cookie...", "getAffiliatedPages": true, "getAssociatedMembersProfiles": true, "maxProfiles": 10, "requestDelaySeconds": 1.5, "proxyConfiguration": { "useApifyProxy": false } } ```` | Field | Type | Description | |-------|------|-------------| | `urls` | `array` | **Required.** LinkedIn company / showcase / school URLs. | | `liAt` | `string` | **Required.** Your `li_at` session cookie from a logged-in LinkedIn account. | | `getAffiliatedPages` | `boolean` | Include affiliated / showcase / subsidiary pages. Default `true`. | | `getAssociatedMembersProfiles` | `boolean` | Include associated profile listings. Default `true`. | | `maxProfiles` | `integer` | Max profiles per company. Default `10`. | | `requestDelaySeconds` | `number` | Delay between LinkedIn requests (seconds). Default `1.5`. | | `proxyConfiguration` | `object` | Override the proxy ladder. Default: **no proxy** — actor escalates automatically. | #### 🍪 How to grab your `li_at` cookie 1. Log into [linkedin.com](https://www.linkedin.com). 2. Open DevTools → **Application** (Chrome) or **Storage** (Firefox). 3. Cookies → `https://www.linkedin.com` → copy the value of `li_at`. 4. Paste it into the actor input. Treat it like a password — it gives access to your account. *** ### 📤 Output Each dataset row is one company. Example (abridged): ```json { "company_name": "Google", "url": "https://www.linkedin.com/company/google", "people_url": "https://www.linkedin.com/company/google/people/", "Current company": [ { "name": "Google", "count": 11873 }, { "name": "Microsoft", "count": 390 } ], "Locations": [ { "name": "India", "count": 5122 }, { "name": "United States", "count": 3623 } ], "Connections": [ { "name": "1st", "count": 0 }, { "name": "2nd", "count": 0 }, { "name": "3rd+", "count": 0 } ], "School": [ { "name": "Stanford University", "count": 224 } ], "Current Function": [], "Skill Explicit": [], "Service categories": [ { "name": "Coaching & Mentoring", "count": 348 } ], "Field of Study": [], "affiliated_pages": [ { "category": "Information Technology & Services", "url": "https://www.linkedin.com/showcase/androidenterprise/", "company": "Android Enterprise" } ], "profiles": [ { "profile_fullname": "Sundar Pichai", "profile_headline": "CEO at Google", "profile_location": "Mountain View, CA", "profile_linkedin": "https://www.linkedin.com/in/sundarpichai" } ] } ``` | Field | Description | |-------|-------------| | 🏢 `company_name` | Resolved display name | | 🔗 `url` | Original company URL | | 👥 `people_url` | Direct link to the People tab | | 🏭 `Current company` | Top current employers of associated members | | 📍 `Locations` | Top member locations | | 🔁 `Connections` | 1st / 2nd / 3rd+ degree breakdown | | 🎓 `School` | Top schools of associated members | | 💼 `Current Function` | Top job functions (LinkedIn may not expose this) | | 🛠️ `Skill Explicit` | Top declared skills (LinkedIn may not expose this) | | 🧩 `Service categories` | Service categories the members offer | | 📚 `Field of Study` | Top fields of study (LinkedIn may not expose this) | | 🏷️ `affiliated_pages` | Showcase / subsidiary / acquired pages | | 👤 `profiles` | Associated member profile previews | | ⚠️ `error` | Present only when a company failed to scrape | > **Note** — LinkedIn no longer exposes `Current Function`, `Skill Explicit`, or `Field of Study` through their public people-search facets. Those columns are emitted as empty arrays for forward compatibility. *** ### 🚀 How to Use (Apify Console) 1. Log in at [console.apify.com](https://console.apify.com) → **Actors**. 2. Open **LinkedIn Company Associated Members Scraper**. 3. Paste your company URLs in the **🔗 Company URLs** field. 4. Paste your **🍪 `li_at` cookie** in the cookie field. 5. (Optional) Tune profiles, delay, proxy. 6. Click **▶ Start**. 7. Watch the logs — each company is logged with proxy tier, facet samples, and a save confirmation. 8. Open the **Output** tab to see the table with per-section columns. *** ### 🤖 Use via API Run synchronously and get results in one call: ```bash curl -X POST \ "https://api.apify.com/v2/acts//run-sync-get-dataset-items?token=$APIFY_TOKEN" \ -H "Content-Type: application/json" \ -d '{ "urls": [ "https://www.linkedin.com/company/google", "https://www.linkedin.com/company/amazon" ], "liAt": "AQEDAU...", "getAffiliatedPages": true, "getAssociatedMembersProfiles": true, "maxProfiles": 10 }' ``` Or asynchronously (returns a run ID; poll for status): ```bash curl -X POST \ "https://api.apify.com/v2/acts//runs?token=$APIFY_TOKEN" \ -H "Content-Type: application/json" \ -d '{"urls":["https://www.linkedin.com/company/openai"],"liAt":"AQEDAU..."}' ``` *** ### 🌐 Proxy Strategy The actor uses a **sticky tiered fallback**: ``` 1. 🟢 Direct (no proxy) ← start here 2. 🟡 Apify Datacenter Proxy ← on first block 3. 🔴 Apify Residential Proxy ← if datacenter blocked too (3 retries) ``` Once the actor escalates to a higher tier, it **stays there** for the rest of the run — no flapping back down. Each escalation is logged with the exact block reason (HTTP status, network error, etc.) so you can audit what happened. *** ### 🎯 Best Use Cases - 🧑‍💼 **Sales & lead enrichment** — qualify a list of target accounts by their team makeup - 📊 **Competitive intel** — see where competitors hire from and which schools dominate - 🤝 **Recruiting & sourcing** — discover talent pools at target employers - 🔬 **Market research** — affiliated-page graphs reveal corporate structure at a glance *** ### 💰 Pricing (Pay-Per-Event) | Event | What it covers | |-------|----------------| | `apify-actor-start` | One-time charge per run (covers startup overhead) | | `company-result` | Charged once per company successfully scraped | Failed companies still appear in the dataset (with an `error` field) for transparency, but they **do not bill** the `company-result` event. *** ### ❓ Frequently Asked Questions **Q: Why do I need to provide a `li_at` cookie?** LinkedIn's Voyager API requires an authenticated session. The cookie is the simplest way to authorize the actor as you. We never persist or log it. **Q: Is the cookie safe to share?** It is masked in the input UI and sent over HTTPS only. Still, treat it like a password. Rotate it from LinkedIn's session-management page if you suspect leakage. **Q: Will I get rate-limited?** Possible if you push the delay too low or scrape many companies in one run. The actor handles 429/503 gracefully — it backs off, then escalates to a paid proxy tier. Default `requestDelaySeconds=1.5` is a safe starting point. **Q: Why are some facet columns empty?** LinkedIn no longer exposes `Current Function`, `Skill Explicit`, and `Field of Study` through their public people-search facets. We keep the columns for forward compatibility with their API. **Q: Can the actor scrape profile email addresses?** No — this actor only collects public people-search results. Email scraping requires a different actor and stronger legal cover. *** ### ⚖️ Cautions / Legal - Data is collected only from **publicly available** sections of LinkedIn that your account can access. - Do **not** scrape private accounts or content behind closed groups / paywalls. - The end user is responsible for legal compliance (GDPR, CCPA, anti-spam laws, LinkedIn's ToS). - Respect rate limits — being a good citizen also reduces blocks. *** ### 💬 Support & Feedback Issues, feature requests, or custom integrations? Reach out at **dev.scraperengine@gmail.com** or open a message in the Apify Console. # Actor input Schema ## `urls` (type: `array`): One LinkedIn company URL per line — `/company/`, `/showcase/`, or `/school/` all work. ## `liAt` (type: `string`): Your LinkedIn session cookie. **Required.** Copy the value of the `li_at` cookie from your browser's devtools while logged into linkedin.com. Treat this as a password — it gives access to your account. ## `getAffiliatedPages` (type: `boolean`): Fetch a company's affiliated / showcase / subsidiary pages (e.g. Google → Google Cloud, Google Maps Platform, YouTube). ## `getAssociatedMembersProfiles` (type: `boolean`): Fetch a list of public profiles affiliated with the company. Each profile includes name, headline, location, and LinkedIn URL. ## `maxProfiles` (type: `integer`): How many associated profiles to fetch per company. Higher numbers take longer and risk rate limits. ## `proxyConfiguration` (type: `object`): Override the automatic proxy ladder. Leave the default (no proxy) unless you have a specific reason. ## Actor input object example ```json { "urls": [ "https://www.linkedin.com/company/google", "https://www.linkedin.com/company/amazon" ], "getAffiliatedPages": true, "getAssociatedMembersProfiles": false, "maxProfiles": 0, "proxyConfiguration": { "useApifyProxy": false } } ``` # 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 = { "urls": [ "https://www.linkedin.com/company/google", "https://www.linkedin.com/company/amazon" ], "liAt": "", "proxyConfiguration": { "useApifyProxy": false } }; // Run the Actor and wait for it to finish const run = await client.actor("scraper-engine/linkedin-company-associated-members-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 = { "urls": [ "https://www.linkedin.com/company/google", "https://www.linkedin.com/company/amazon", ], "liAt": "", "proxyConfiguration": { "useApifyProxy": False }, } # Run the Actor and wait for it to finish run = client.actor("scraper-engine/linkedin-company-associated-members-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 '{ "urls": [ "https://www.linkedin.com/company/google", "https://www.linkedin.com/company/amazon" ], "liAt": "", "proxyConfiguration": { "useApifyProxy": false } }' | apify call scraper-engine/linkedin-company-associated-members-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=scraper-engine/linkedin-company-associated-members-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "LinkedIn Company Associated Members Scraper", "description": null, "version": "0.1", "x-build-id": "g87uglznZ6eGgOX3N" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/scraper-engine~linkedin-company-associated-members-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-scraper-engine-linkedin-company-associated-members-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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/scraper-engine~linkedin-company-associated-members-scraper/runs": { "post": { "operationId": "runs-sync-scraper-engine-linkedin-company-associated-members-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/scraper-engine~linkedin-company-associated-members-scraper/run-sync": { "post": { "operationId": "run-sync-scraper-engine-linkedin-company-associated-members-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": [ "urls", "liAt" ], "properties": { "urls": { "title": "🔗 Company URLs", "minItems": 1, "type": "array", "description": "One LinkedIn company URL per line — `/company/`, `/showcase/`, or `/school/` all work.", "items": { "type": "string" } }, "liAt": { "title": "🍪 LinkedIn `li_at` cookie", "type": "string", "description": "Your LinkedIn session cookie. **Required.** Copy the value of the `li_at` cookie from your browser's devtools while logged into linkedin.com. Treat this as a password — it gives access to your account." }, "getAffiliatedPages": { "title": "🏷️ Include affiliated pages", "type": "boolean", "description": "Fetch a company's affiliated / showcase / subsidiary pages (e.g. Google → Google Cloud, Google Maps Platform, YouTube).", "default": true }, "getAssociatedMembersProfiles": { "title": "👥 Include associated member profiles", "type": "boolean", "description": "Fetch a list of public profiles affiliated with the company. Each profile includes name, headline, location, and LinkedIn URL.", "default": false }, "maxProfiles": { "title": "🎯 Max profiles per company", "minimum": 0, "maximum": 1000, "type": "integer", "description": "How many associated profiles to fetch per company. Higher numbers take longer and risk rate limits.", "default": 0 }, "proxyConfiguration": { "title": "🌐 Proxy Configuration", "type": "object", "description": "Override the automatic proxy ladder. Leave the default (no proxy) unless you have a specific reason.", "default": { "useApifyProxy": false } } } }, "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 } } } } } } } } } } ```