# LinkedIn Company URL - Mass Profile Finder (`api-empire/linkedin-company-url-mass-profile-finder`) Actor πŸ”Ž Mass Profile Finder helps you discover and analyze LinkedIn profiles at scale. πŸš€ Perfect for lead generation, B2B research, recruitment & networking. πŸ“ˆ Fast, efficient, and built to find the right peopleβ€”without the hassle. - **URL**: https://apify.com/api-empire/linkedin-company-url-mass-profile-finder.md - **Developed by:** [API Empire](https://apify.com/api-empire) (community) - **Categories:** Automation, Lead generation, Jobs - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 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 ## πŸ”— LinkedIn Company URL - Mass Profile Finder Turn a plain list of **company names** into their official **LinkedIn company page URLs** β€” in bulk, in seconds. No login, no cookies, no manual googling. Paste your list, hit **Start**, and export clean results to JSON, CSV, or Excel. πŸš€ --- ### ✨ Why Choose This Actor? - **🏒 Bulk-first** β€” drop in 5 or 5,000 company names, one per line. - **🎯 Accurate matches** β€” returns the real `linkedin.com/company/` page, never a noisy login/feed link. - **πŸ›‘οΈ Self-healing proxies** β€” starts with **no proxy** for speed, then automatically escalates to **Datacenter β†’ Residential** the instant it's throttled, and stays on residential for the rest of the run. - **⚑ Fast & parallel** β€” tune concurrency from 1 to 100. - **πŸ’Ύ Live results** β€” every match is saved the moment it's found; a long run never loses progress. - **πŸ”“ No authentication required** β€” nothing to log into, nothing to get banned. --- ### 🧰 Key Features | Feature | Description | |--------|-------------| | 🏒 Bulk input | One company name per line. | | ⚑ Concurrency | 1–100 parallel lookups. | | 🌍 Region control | Pick the region/language for cleaner titles. | | πŸ›‘οΈ Proxy fallback | DIRECT β†’ DATACENTER β†’ RESIDENTIAL, sticky. | | πŸ” Retries | Exponential backoff on throttling/blocks. | | πŸ“­ 1-to-1 output | Optional empty rows for companies with no page. | --- ### πŸ“₯ Input | Field | Type | Default | Description | |-------|------|---------|-------------| | `queries` | array | β€” | **Required.** Company names, one per line. | | `maxConcurrency` | integer | `10` | Parallel lookups (1–100). | | `region` | string | `us-en` | Search region/language. | | `querySuffix` | string | `linkedin company` | Phrase appended to bias results to LinkedIn. | | `includeNotFound` | boolean | `true` | Emit empty rows for unmatched names. | | `maxRetries` | integer | `3` | Retry attempts per request. | | `requestTimeout` | number | `20` | Per-request timeout (seconds). | | `retryBackoff` | number | `1.5` | Backoff multiplier between retries. | | `proxyConfiguration` | object | no proxy | Proxy settings (fallback handled automatically). | #### Example input ```json { "queries": ["Tesla", "OpenAI", "Stripe", "Microsoft", "Notion Labs"], "maxConcurrency": 10, "region": "us-en", "proxyConfiguration": { "useApifyProxy": false } } ```` *** ### πŸ“€ Output Each company produces one record: ```json [ { "mySearch": "Tesla", "queryId": 1, "linkedinUrl": "https://www.linkedin.com/company/tesla-motors", "info": "Tesla - LinkedIn" }, { "mySearch": "OpenAI", "queryId": 2, "linkedinUrl": "https://www.linkedin.com/company/openai", "info": "OpenAI - LinkedIn" } ] ``` | Field | Description | |-------|-------------| | `mySearch` | The company name you submitted. | | `queryId` | 1-based index matching your input order. | | `linkedinUrl` | Canonical LinkedIn company URL (or `null` if not found). | | `info` | LinkedIn page title, e.g. `"Tesla - LinkedIn"`. | *** ### πŸš€ How to Use (Apify Console) 1. Log in at [console.apify.com](https://console.apify.com) β†’ **Actors**. 2. Open **LinkedIn Company URL - Mass Profile Finder**. 3. Paste your company names (one per line) into **🏒 Company Names**. 4. (Optional) adjust speed, region, or proxy. 5. Click **Start** and watch results stream into the **Output** tab in real time. 6. 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 '{"queries":["Tesla","OpenAI","Stripe"],"maxConcurrency":10}' ``` *** ### πŸ’‘ Best Use Cases - 🧲 **Lead generation** β€” enrich a list of target accounts with LinkedIn URLs. - πŸ“Š **CRM hygiene** β€” backfill missing company LinkedIn links at scale. - πŸ”Ž **Sales & recruiting research** β€” jump straight to the right company page. - 🀝 **Data enrichment pipelines** β€” wire into n8n, Make, or your own API. *** ### πŸ’³ Pricing This Actor uses the **Pay-Per-Event** model: you are charged a small fee per **result row** (`row_result`) saved to the dataset. See the Store page for the exact per-row price. *** ### ❓ FAQ **Do I need a LinkedIn account?** No. The Actor uses only public search data. **What if a company isn't found?** With `includeNotFound` on, you still get a row with an empty `linkedinUrl` so your output aligns 1-to-1 with your input. **Will I get blocked?** The Actor starts direct and automatically escalates to datacenter then residential proxies on any throttling, so runs keep flowing. **Can I run thousands of names?** Yes β€” raise `maxConcurrency` and (optionally) enable Apify Proxy for large jobs. *** ### βš–οΈ Legal & Compliance This Actor collects only **publicly available** company information. You are responsible for complying with applicable laws (GDPR, CCPA, anti-spam) and the target site's Terms of Service. *** ### πŸ“¬ Support & Feedback Found a bug or want a feature? Open an issue on the Actor's **Issues** tab β€” we read every one. πŸ™Œ # Actor input Schema ## `queries` (type: `array`): Enter one company name per line β€” e.g. Tesla, OpenAI, Stripe. The Actor returns the matching LinkedIn company page for each. ✨ ## `region` (type: `string`): Region/language used for the lookup. us-en returns English titles like β€œTesla - LinkedIn”. ## `maxConcurrency` (type: `integer`): How many company lookups run in parallel. Higher = faster results, but uses your proxy pool quicker. 🏎️ ## `querySuffix` (type: `string`): Phrase appended to each company name to surface its LinkedIn page. Leave the default unless you know what you're doing. πŸ› οΈ ## `includeNotFound` (type: `boolean`): When ON, companies with no LinkedIn page still get a row (with empty URL) so your output lines up 1-to-1 with your input. ## `proxyConfiguration` (type: `object`): By default the Actor runs with NO proxy. If the search engine blocks a request, it automatically falls back to a Datacenter proxy, then a Residential proxy β€” and sticks with Residential for the rest of the run. πŸ”„ ## Actor input object example ```json { "queries": [ "Tesla", "OpenAI", "Stripe" ], "region": "us-en", "maxConcurrency": 10, "querySuffix": "linkedin company", "includeNotFound": true, "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 = { "queries": [ "Tesla", "OpenAI", "Stripe", "Microsoft", "Notion Labs" ], "proxyConfiguration": { "useApifyProxy": false } }; // Run the Actor and wait for it to finish const run = await client.actor("api-empire/linkedin-company-url-mass-profile-finder").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 = { "queries": [ "Tesla", "OpenAI", "Stripe", "Microsoft", "Notion Labs", ], "proxyConfiguration": { "useApifyProxy": False }, } # Run the Actor and wait for it to finish run = client.actor("api-empire/linkedin-company-url-mass-profile-finder").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 '{ "queries": [ "Tesla", "OpenAI", "Stripe", "Microsoft", "Notion Labs" ], "proxyConfiguration": { "useApifyProxy": false } }' | apify call api-empire/linkedin-company-url-mass-profile-finder --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=api-empire/linkedin-company-url-mass-profile-finder", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "LinkedIn Company URL - Mass Profile Finder", "description": "πŸ”Ž Mass Profile Finder helps you discover and analyze LinkedIn profiles at scale. πŸš€ Perfect for lead generation, B2B research, recruitment & networking. πŸ“ˆ Fast, efficient, and built to find the right peopleβ€”without the hassle.", "version": "0.1", "x-build-id": "lhbojNiQRHvKcgvZ4" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/api-empire~linkedin-company-url-mass-profile-finder/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-api-empire-linkedin-company-url-mass-profile-finder", "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/api-empire~linkedin-company-url-mass-profile-finder/runs": { "post": { "operationId": "runs-sync-api-empire-linkedin-company-url-mass-profile-finder", "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/api-empire~linkedin-company-url-mass-profile-finder/run-sync": { "post": { "operationId": "run-sync-api-empire-linkedin-company-url-mass-profile-finder", "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": [ "queries" ], "properties": { "queries": { "title": "🏒 Company Names (bulk input)", "type": "array", "description": "Enter one company name per line β€” e.g. Tesla, OpenAI, Stripe. The Actor returns the matching LinkedIn company page for each. ✨", "items": { "type": "string" } }, "region": { "title": "🌍 Search Region", "enum": [ "us-en", "uk-en", "ca-en", "au-en", "in-en", "wt-wt" ], "type": "string", "description": "Region/language used for the lookup. us-en returns English titles like β€œTesla - LinkedIn”.", "default": "us-en" }, "maxConcurrency": { "title": "⚑ Speed (concurrent searches)", "minimum": 1, "maximum": 100, "type": "integer", "description": "How many company lookups run in parallel. Higher = faster results, but uses your proxy pool quicker. 🏎️", "default": 10 }, "querySuffix": { "title": "🧲 Search Suffix", "type": "string", "description": "Phrase appended to each company name to surface its LinkedIn page. Leave the default unless you know what you're doing. πŸ› οΈ", "default": "linkedin company" }, "includeNotFound": { "title": "πŸ“­ Include β€œnot found” rows", "type": "boolean", "description": "When ON, companies with no LinkedIn page still get a row (with empty URL) so your output lines up 1-to-1 with your input.", "default": true }, "proxyConfiguration": { "title": "πŸ›‘οΈ Proxy Configuration", "type": "object", "description": "By default the Actor runs with NO proxy. If the search engine blocks a request, it automatically falls back to a Datacenter proxy, then a Residential proxy β€” and sticks with Residential for the rest of the run. πŸ”„", "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 } } } } } } } } } } ```