# LinkedIn Shared & Mutual Connections Scraper (`simpleapi/linkedin-shared-mutual-connections-scraper`) Actor πŸ” LinkedIn Shared & Mutual Connections Scraper extracts shared & mutual connection data to fuel smarter lead gen and networking. ⚑ Fast, targeted insights for sales, partnerships & recruiting. πŸ“ˆ Spend less time searchingβ€”find warm connections quicker. - **URL**: https://apify.com/simpleapi/linkedin-shared-mutual-connections-scraper.md - **Developed by:** [SimpleAPI](https://apify.com/simpleapi) (community) - **Categories:** Lead generation, Social media, Automation - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks - **User rating**: No ratings yet ## Pricing from $2.99 / 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 ## πŸ”— LinkedIn Shared & Mutual Connections Scraper Find out **who you both know.** Paste any LinkedIn profile URL (or a whole bulk list) and this Actor returns the **shared / mutual connections** between your account and that profile β€” names, headlines, locations, degree of connection, and direct profile links β€” as clean, structured data. Perfect for **warm-intro prospecting, account-based sales, recruiting, and network mapping.** --- ### ⭐ Why Choose This Actor? - **🎯 Bulk input** β€” process dozens of profiles in a single run. - **πŸ›‘οΈ Smart anti-block ladder** β€” connects directly first, then transparently escalates to a datacenter proxy, then a sticky residential proxy if LinkedIn pushes back. You see every switch in the log. - **πŸ’Ύ Live results** β€” connections are saved the instant they're found, so a long run never loses progress. - **πŸ“‚ Per-profile sections** β€” each profile's connections also land in their own dataset for easy separation. - **πŸ†• "Only new" mode** β€” skip everyone you already pulled in earlier runs. - **🧹 Clean schema** β€” output maps 1:1 to a tidy table, ready for CRM import. --- ### ✨ Key Features | Feature | Description | |--------|-------------| | 🎯 Bulk profiles | Submit one or many LinkedIn profile URLs | | 🌐 Network filter | 1st + 2nd degree, or also 3rd+/out-of-network | | πŸ›‘οΈ Proxy fallback | direct β†’ datacenter β†’ residential (sticky) | | πŸ” Auto-retry | Up to 3 attempts with backoff on blocks/timeouts | | πŸ“„ Pagination | Walks every result page up to your page limit | | πŸ’Ύ Incremental save | Every connection pushed live to the dataset | --- ### πŸ“₯ Input | Field | Type | Required | Description | |-------|------|----------|-------------| | `urls` | array | βœ… | LinkedIn profile URLs (bulk supported) | | `li_at` | string (secret) | βœ…* | Your `li_at` session cookie value | | `cookies` | array | ⬜ | Full exported cookie session (overrides `li_at`) | | `network` | string | ⬜ | `F,S` (1st+2nd) or `F,S,O` (+3rd/out-of-network) | | `getOnlyNew` | boolean | ⬜ | Return only connections not seen in previous runs | | `maxPages` | integer | ⬜ | Max result pages per profile (default 10) | | `requestDelay` | number | ⬜ | Base delay between page requests in seconds | | `proxyConfiguration` | object | ⬜ | Apify proxy settings (enables the fallback ladder) | \* Provide **either** `li_at` **or** a `cookies` array containing `li_at`. #### Example input ```json { "urls": [ { "url": "https://www.linkedin.com/in/contact-mahfuz/" } ], "network": "F,S", "li_at": "AQEDA...your-session-cookie...", "getOnlyNew": false, "maxPages": 10, "proxyConfiguration": { "useApifyProxy": true } } ```` #### πŸ”‘ How to get your `li_at` cookie 1. Log into LinkedIn in your browser. 2. Open **DevTools β†’ Application β†’ Cookies β†’ https://www.linkedin.com**. 3. Copy the **value** of the `li_at` cookie. 4. Paste it into the `li_at` field (it is stored as a secret). *** ### πŸ“€ Output Each row is one mutual connection: ```json { "urn_li_member": "ACoAADMVI0YBVVgJVoOiWFf1CU6b_EQtHVmaiYA", "network_distance": "1", "full_name": "Raisul Islam", "linkedin": "https://www.linkedin.com/in/contact-raisul", "is_premium": false, "jobtitle": "Designing scalable web data systems...", "location": "Chattogram, Chattogram, Bangladesh", "mutual_connections_link": "https://www.linkedin.com/search/results/people/?facetNetwork=...", "mutual_connections": "", "followers": "", "source_profile": "https://www.linkedin.com/in/contact-mahfuz/" } ``` | Field | Description | |-------|-------------| | `full_name` | Connection's display name | | `network_distance` | `1` = 1st, `2` = 2nd, `3` = 3rd degree | | `jobtitle` | Headline / current role | | `location` | Location text | | `linkedin` | Direct profile URL | | `is_premium` | Whether the profile shows a Premium badge | | `mutual_connections` | Count text where LinkedIn exposes it | | `mutual_connections_link` | Canned LinkedIn search for the shared network | | `urn_li_member` | LinkedIn member URN (`ACoAA...`) | | `source_profile` | Which input profile this connection came from | *** ### πŸš€ How to Use (Apify Console) 1. Log in at [console.apify.com](https://console.apify.com) β†’ **Actors**. 2. Open the **LinkedIn Shared & Mutual Connections Scraper**. 3. Paste your profile URL(s) and your `li_at` cookie. 4. (Optional) Pick the network filter and proxy settings. 5. Click **Start** and watch connections stream into the log in real time. 6. Open the **Output** tab when the run finishes and export to JSON / CSV / XLSX. ### πŸ€– Use via API ```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": [{ "url": "https://www.linkedin.com/in/contact-mahfuz/" }], "network": "F,S", "li_at": "YOUR_COOKIE", "proxyConfiguration": { "useApifyProxy": true } }' ``` *** ### πŸ’‘ Best Use Cases - **Warm-intro sales** β€” find who can introduce you to a target buyer. - **Recruiting** β€” map shared connections to candidates for trusted referrals. - **Network analysis** β€” understand overlap between you and key accounts. *** ### πŸ’³ Pricing This Actor uses the **Pay-Per-Event** model. You are billed per **mutual connection** returned, plus standard Apify platform usage (compute + proxy). The combined dataset is the unit of value β€” partial runs only bill for what was actually collected. *** ### ❓ FAQ **Do I need a LinkedIn account?** Yes. LinkedIn only shows shared connections to authenticated users, so a valid `li_at` cookie from your own account is required. **Will this get my account banned?** The Actor warms up like a real browser, throttles requests, and rotates proxies on blocks to stay gentle. Still, scraping always carries some risk β€” use a sensible `maxPages`, modest run frequency, and reasonable delays. **Why are some fields empty?** LinkedIn does not expose every field (e.g. `followers`, exact mutual counts) on every card. Empty strings mean LinkedIn didn't render that value for that result. **Can I scrape profiles I'm not connected to?** You can scan the shared connections that your account is permitted to see. Set `network` to `F,S,O` to widen the net to 3rd+/out-of-network where visible. *** ### πŸ›‘οΈ Compliance & Caution - Collect data only from sources **you are authorized to access** with your own account. - You are responsible for compliance with LinkedIn's Terms, GDPR/CCPA, and anti-spam laws. - Do not use collected data for harassment or unsolicited bulk outreach. ### πŸ“¨ Support & Feedback Found a bug or want a new field? Open an issue on the Actor's **Issues** tab β€” real answers, fast. # Actor input Schema ## `urls` (type: `array`): One or more LinkedIn profile URLs (e.g. https://www.linkedin.com/in/contact-mahfuz/). You can paste a bulk list β€” every profile will be processed in a single run. ## `network` (type: `string`): Which network distances to include: 1st + 2nd degree, or also 3rd+/out-of-network. ## `li_at` (type: `string`): Your LinkedIn `li_at` session cookie value. Required for authenticated search. Find it in your browser DevTools β†’ Application β†’ Cookies β†’ linkedin.com β†’ li\_at. This value is treated as a secret. ## `getOnlyNew` (type: `boolean`): Skip connections already collected in your previous runs of this actor (de-duplicates across runs). ## `maxPages` (type: `integer`): Maximum number of search result pages to scan per profile (LinkedIn returns 10 connections per page). ## `proxyConfiguration` (type: `object`): By default the actor connects directly. If LinkedIn blocks the request it automatically escalates to a datacenter proxy, then a residential proxy (sticky). Enable Apify Proxy to allow these fallbacks. ## Actor input object example ```json { "urls": [ "https://www.linkedin.com/in/contact-mahfuz/" ], "network": "F,S", "getOnlyNew": false, "maxPages": 10, "proxyConfiguration": { "useApifyProxy": true } } ``` # 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/in/contact-mahfuz/" ], "proxyConfiguration": { "useApifyProxy": true } }; // Run the Actor and wait for it to finish const run = await client.actor("simpleapi/linkedin-shared-mutual-connections-scraper").call(input); // Fetch and print Actor results from the run's dataset (if any) console.log('Results from dataset'); console.log(`πŸ’Ύ 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); }); // πŸ“š Want to learn more πŸ“–? Go to β†’ 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/in/contact-mahfuz/"], "proxyConfiguration": { "useApifyProxy": True }, } # Run the Actor and wait for it to finish run = client.actor("simpleapi/linkedin-shared-mutual-connections-scraper").call(run_input=run_input) # Fetch and print Actor results from the run's dataset (if there are any) print("πŸ’Ύ Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"]) for item in client.dataset(run["defaultDatasetId"]).iterate_items(): print(item) # πŸ“š Want to learn more πŸ“–? Go to β†’ https://docs.apify.com/api/client/python/docs/quick-start ``` ## CLI example ```bash echo '{ "urls": [ "https://www.linkedin.com/in/contact-mahfuz/" ], "proxyConfiguration": { "useApifyProxy": true } }' | apify call simpleapi/linkedin-shared-mutual-connections-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=simpleapi/linkedin-shared-mutual-connections-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "LinkedIn Shared & Mutual Connections Scraper", "description": "πŸ” LinkedIn Shared & Mutual Connections Scraper extracts shared & mutual connection data to fuel smarter lead gen and networking. ⚑ Fast, targeted insights for sales, partnerships & recruiting. πŸ“ˆ Spend less time searchingβ€”find warm connections quicker.", "version": "0.1", "x-build-id": "oysuOYuo6MfHJOsUO" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/simpleapi~linkedin-shared-mutual-connections-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-simpleapi-linkedin-shared-mutual-connections-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/simpleapi~linkedin-shared-mutual-connections-scraper/runs": { "post": { "operationId": "runs-sync-simpleapi-linkedin-shared-mutual-connections-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/simpleapi~linkedin-shared-mutual-connections-scraper/run-sync": { "post": { "operationId": "run-sync-simpleapi-linkedin-shared-mutual-connections-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" ], "properties": { "urls": { "title": "🎯 LinkedIn Profile URLs", "type": "array", "description": "One or more LinkedIn profile URLs (e.g. https://www.linkedin.com/in/contact-mahfuz/). You can paste a bulk list β€” every profile will be processed in a single run.", "items": { "type": "string" } }, "network": { "title": "🌐 Connection Network Filter", "enum": [ "F,S", "F,S,O" ], "type": "string", "description": "Which network distances to include: 1st + 2nd degree, or also 3rd+/out-of-network.", "default": "F,S" }, "li_at": { "title": "πŸ”‘ LinkedIn Session Cookie (li_at)", "type": "string", "description": "Your LinkedIn `li_at` session cookie value. Required for authenticated search. Find it in your browser DevTools β†’ Application β†’ Cookies β†’ linkedin.com β†’ li_at. This value is treated as a secret." }, "getOnlyNew": { "title": "πŸ†• Only return NEW connections", "type": "boolean", "description": "Skip connections already collected in your previous runs of this actor (de-duplicates across runs).", "default": false }, "maxPages": { "title": "πŸ“„ Max pages per profile", "minimum": 1, "maximum": 100, "type": "integer", "description": "Maximum number of search result pages to scan per profile (LinkedIn returns 10 connections per page).", "default": 10 }, "proxyConfiguration": { "title": "πŸ›‘οΈ Proxy Configuration", "type": "object", "description": "By default the actor connects directly. If LinkedIn blocks the request it automatically escalates to a datacenter proxy, then a residential proxy (sticky). Enable Apify Proxy to allow these fallbacks.", "default": { "useApifyProxy": true } } } }, "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 } } } } } } } } } } ```