# LinkedIn Company Lookup (`agentx/linkedin-company-lookup`) Actor LinkedIn company-profile lookup. Pass any /company/ URL and the response returns the verified name, industry, exact employee count, follower count, founding year, HQ + office locations, website, listed phones, social handles, specialties, featured employees, and recent posts for ABM enrichment. - **URL**: https://apify.com/agentx/linkedin-company-lookup.md - **Developed by:** [AgentX](https://apify.com/agentx) (community) - **Categories:** Jobs, Lead generation, Integrations - **Stats:** 19 total users, 12 monthly users, 100.0% runs succeeded, 1 bookmarks - **User rating**: 5.00 out of 5 stars ## Pricing from $0.20 / result This Actor is paid per event. You are not charged for the Apify platform usage, but only a fixed price for specific events. Learn more: https://docs.apify.com/platform/actors/running/actors-in-store#pay-per-event ## What's an Apify Actor? Actors are a software tools running on the Apify platform, for all kinds of web data extraction and automation use cases. In Batch mode, an Actor accepts a well-defined JSON input, performs an action which can take anything from a few seconds to a few hours, and optionally produces a well-defined JSON output, datasets with results, or files in key-value store. In Standby mode, an Actor provides a web server which can be used as a website, API, or an MCP server. Actors are written with capital "A". ## How to integrate an Actor? If asked about integration, you help developers integrate Actors into their projects. You adapt to their stack and deliver integrations that are safe, well-documented, and production-ready. The best way to integrate Actors is as follows. In JavaScript/TypeScript projects, use official [JavaScript/TypeScript client](https://docs.apify.com/api/client/js.md): ```bash npm install apify-client ``` In Python projects, use official [Python client library](https://docs.apify.com/api/client/python.md): ```bash pip install apify-client ``` In shell scripts, use [Apify CLI](https://docs.apify.com/cli/docs.md): ````bash # MacOS / Linux curl -fsSL https://apify.com/install-cli.sh | bash # Windows irm https://apify.com/install-cli.ps1 | iex ```bash In AI frameworks, you might use the [Apify MCP server](https://docs.apify.com/platform/integrations/mcp.md). If your project is in a different language, use the [REST API](https://docs.apify.com/api/v2.md). For usage examples, see the [API](#api) section below. For more details, see Apify documentation as [Markdown index](https://docs.apify.com/llms.txt) and [Markdown full-text](https://docs.apify.com/llms-full.txt). # README ## LinkedIn Company Scraper - Firmographic Intelligence & CRM Enrichment API **LinkedIn Company Scraper is a B2B firmographic intelligence API that extracts structured LinkedIn company profiles, headcount signals, Life tab culture content, and optional job detail records from any public LinkedIn company page in a single URL-driven run.** LinkedIn Company Scraper returns structured records per company, including company name, LinkedIn URL, tagline, industry, headquarters location, founding year, employee headcount range, exact employee count, follower count, multi-office location array, featured employees array, recent updates feed, Life tab sections, optional Jobs tab detail records, specialties array, social link array, and contact phone numbers. Coverage spans every public LinkedIn company page worldwide. Built for CRM firmographic enrichment, B2B prospecting, hiring intelligence, account-based marketing, competitive landscape mapping, M&A research, sales territory planning, and ICP scoring pipelines. [![LinkedIn](https://img.shields.io/badge/LinkedIn-0077B5?style=for-the-badge&color=0077B5)](https://apify.com/agentx/linkedin-company-scraper?fpr=aiagentapi) [![Firmographic Intelligence](https://img.shields.io/badge/Firmographic_Intelligence-0077B5?style=for-the-badge&color=0077B5)](https://apify.com/agentx/linkedin-company-scraper?fpr=aiagentapi) [![Pay Per Result](https://img.shields.io/badge/Pay_Per_Result-0077B5?style=for-the-badge&color=0077B5)](https://apify.com/agentx/linkedin-company-scraper?fpr=aiagentapi) --- ### Why Choose This API #### Complete LinkedIn Firmographic Data for B2B Intelligence Pipelines **🏢 Full Firmographic Profile Extraction** Extract `industry`, `company_size`, `company_type` (Public/Private/Nonprofit), `founded` year, `headquarters`, and full `address` per company — the core firmographic fields required for CRM enrichment, ICP scoring, and account segmentation. **👥 Exact Employee Count & Follower Intelligence** Capture both `employee_count` (exact LinkedIn-reported headcount) and `follower_count` — enabling precise company size qualification beyond coarse headcount tiers, plus brand reach signals from follower data. **📍 Multi-Location Office Coverage** The `locations` array delivers all office locations with street addresses and directions links — enabling territory mapping, regional account routing, and multi-site company profiling for field sales and operations teams. **👤 Featured Employee Profiles** The `featured_employees` array captures highlighted executives and influencers on the company page — surfacing key decision makers, C-suite contacts, and thought leaders for ABM targeting and outreach prioritization. **📢 Recent Company Updates** The `updates` field captures recent LinkedIn posts with reaction counts, comment counts, and post URLs — enabling content engagement analysis, company activity monitoring, and intent signal detection. **💼 Jobs Tab Detail Extraction** Set `max_jobs` to collect LinkedIn job detail pages from the company Jobs tab, including title, company, location, posted date, applicants, description, seniority, employment type, job function, and industries. **🌱 Life Tab Culture Intelligence** The `life` array captures culture, leadership, values, benefits, and company photo sections from the LinkedIn Life tab when publicly available. **🔑 Specialties & Technology Signals** The `specialties` array extracts the company's declared focus areas — providing product, technology, and industry keyword signals for ICP matching, competitive intelligence, and account scoring models. --- ### Quick Start Guide #### How to Extract LinkedIn Company Data in 3 Steps ##### Step 1: Identify the LinkedIn Company URL Find the public LinkedIn company page URL (e.g., `https://www.linkedin.com/company/apple`). ##### Step 2: Configure and Run the Actor [Open Actor Input](https://console.apify.com/actors/lmgxLM2RjocEgg6m2/input?fpr=aiagentapi) Paste the LinkedIn company URL and click **Start**. ##### Step 3: Download Your Data Export results as JSON or CSV, or access programmatically via the Apify dataset API. Each record contains the complete firmographic profile. --- ### Input Parameters #### Configuration Fields | Parameter | Type | Required | Description | Example Values | | -------------- | ------- | -------- | -------------------------------------------------------------------- | ------------------------------------------ | | `linkedin_url` | string | ✅ | Public LinkedIn company page URL | `"https://www.linkedin.com/company/apple"` | | `max_jobs` | integer | ❌ | Maximum job detail pages to collect from the Jobs tab. Use 0 to skip | `10` | #### Example Input Configuration ```json { "linkedin_url": "https://www.linkedin.com/company/apple", "max_jobs": 10 } ```` *** ### Output Data Schema #### Complete Company Record Structure Each extracted LinkedIn company record contains the following fields: [Open Actor Output](https://console.apify.com/actors/lmgxLM2RjocEgg6m2/input?fpr=aiagentapi) #### Core Company Fields | Field | Type | Description | | -------------------- | ------- | ------------------------------------------- | | `processor` | string | Apify actor URL that processed this record | | `processed_at` | string | ISO 8601 timestamp (UTC) when scraped | | `status` | string | Lookup status (success/not found) | | `type` | string | LinkedIn page type (company) | | `linkedin_url` | string | Normalized LinkedIn company profile URL | | `name` | string | Official company name | | `headline` | string | Short tagline under company name | | `about` | string | Full company description | | `website` | string | Official company website URL | | `industry` | string | Primary industry/sector | | `company_size` | string | Headcount range (e.g., "10,001+ employees") | | `company_type` | string | Ownership type (Public, Private, Nonprofit) | | `founded` | string | Year company was founded | | `headquarters` | string | City and region of headquarters | | `address` | string | Full street address | | `specialties` | array | Declared focus areas and specialties | | `phones` | array | Contact phone numbers | | `social_links` | object | Social media URLs by platform | | `logo_url` | string | Company logo image URL | | `employee_count` | integer | Exact LinkedIn-reported headcount | | `follower_count` | integer | LinkedIn follower count | | `locations` | array | All office locations with addresses | | `featured_employees` | array | Highlighted executives and employees | | `updates` | array | Recent LinkedIn posts with engagement | | `life` | array | Life tab culture, benefits, and photo data | | `jobs` | array | Jobs tab records enriched from detail pages | #### Example JSON Output ```json { "processor": "https://apify.com/agentx/linkedin-company-scraper?fpr=aiagentapi", "processed_at": "2026-05-01T10:30:00.000Z", "status": "success", "linkedin_url": "https://www.linkedin.com/company/microsoft/", "name": "Microsoft", "industry": "Software Development", "company_size": "10,001+ employees", "company_type": "Public Company", "founded": "1975", "headquarters": "Redmond, Washington", "employee_count": 221000, "follower_count": 22000000, "website": "https://www.microsoft.com", "specialties": ["Cloud Computing", "AI", "Productivity Software"], "life": [ { "title": "Who we are", "text": "We are a diverse collective of thinkers and doers.", "images": ["https://media.licdn.com/dms/image/example.jpg"] } ], "jobs": [ { "platform": "LinkedIn", "platform_url": "https://www.linkedin.com/jobs/view/software-engineer-123", "title": "Software Engineer", "posted_date": "2 days ago", "location": "Redmond, WA", "description": "Build reliable systems.", "job_type": "Full-time", "job_level": "Mid-Senior level", "job_function": "Engineering", "industries": ["Software Development"], "company_name": "Microsoft", "company_url": "https://www.linkedin.com/company/microsoft/" } ] } ``` #### Export Formats - **JSON** - Complete structured data with all metadata - **CSV** - Spreadsheet-compatible for CRM and analytics tools - **API Access** - Programmatic access via Apify Client SDK - **Cloud Storage** - Automatic upload to Apify Dataset *** ### Integration Examples #### Actor ID for Platform Integration ```text lmgxLM2RjocEgg6m2 ``` #### Ⓜ️ [Make.com Setup:](https://www.make.com/en/register?pc=marketingme) 1. Login to **[Make.com (Get 1000 Free Credits)](https://www.make.com/en/register?pc=marketingme)** 2. Add module **"Run an Actor"** 3. Turn **'Map'** on - right side of the 'Actor\*' 4. Paste **Actor ID** - from above 5. Click the **'⟳ Refresh'** - left side of Map 6. **Input JSON\*** - Modify the parameters as needed 7. Set **"Run synchronously"** to **YES** 8. Add module **"Get Dataset Items"** - receive the result 9. In **Dataset ID\*** select **defaultDatasetId** #### 🎱 [N8N.io Setup:](https://n8n.io/) 1. Add **'Run an Actor and get dataset'** - from the apify node 2. **Actor** → **By ID** → **Paste Actor ID** - from above 3. **Input JSON** - Modify the parameters as needed #### Python Integration Example ```python from apify_client import ApifyClient client = ApifyClient('YOUR_API_TOKEN') run_input = { "linkedin_url": "https://www.linkedin.com/company/salesforce", "max_jobs": 10 } run = client.actor("lmgxLM2RjocEgg6m2").call(run_input=run_input) for item in client.dataset(run["defaultDatasetId"]).iterate_items(): print(item) ``` #### JavaScript/Node.js Integration ```javascript import { ApifyClient } from "apify-client"; const client = new ApifyClient({ token: "YOUR_API_TOKEN" }); const input = { linkedin_url: "https://www.linkedin.com/company/hubspot", max_jobs: 10, }; const run = await client.actor("lmgxLM2RjocEgg6m2").call(input); const { items } = await client.dataset(run.defaultDatasetId).listItems(); items.forEach((item) => console.log(item)); ``` #### JSON-LD Metadata ```json { "@context": "https://schema.org", "@graph": [ { "@type": "SoftwareApplication", "@id": "https://apify.com/agentx/linkedin-company-scraper#software", "name": "LinkedIn Company Scraper", "description": "LinkedIn Company Scraper is a firmographic intelligence API delivering structured company profiles with industry, headcount, headquarters, employee count, follower count, office locations, featured employees, and recent updates for CRM enrichment and B2B prospecting.", "applicationCategory": "BusinessApplication", "applicationSubCategory": "Lead Generation API", "operatingSystem": "Web, Cloud", "url": "https://apify.com/agentx/linkedin-company-scraper?fpr=aiagentapi", "softwareVersion": "1.0.0", "datePublished": "2024-08-01", "dateModified": "2026-05-01", "featureList": [ "Company name, tagline, industry, and HQ location", "Founding year, headcount range, and exact employee count", "Follower count and multi-office location array", "Featured employees and recent updates feed", "Specialties array and social link array", "Contact phone numbers when public", "Up to 50,000 companies per run", "Native integrations with Make.com, n8n, LangChain, and CrewAI" ], "offers": { "@type": "Offer", "price": "0.20", "priceCurrency": "USD", "availability": "https://schema.org/InStock" }, "author": { "@id": "https://apify.com/agentx#person" }, "publisher": { "@id": "https://apify.com#organization" } }, { "@type": "Person", "@id": "https://apify.com/agentx#person", "name": "AgentX", "url": "https://apify.com/agentx", "sameAs": [ "https://apify.com/agentx", "https://t.me/AiAgentApi", "https://t.me/Apify_Actor" ], "knowsAbout": [ "web scraping", "LinkedIn", "firmographics", "CRM enrichment", "B2B prospecting" ] }, { "@type": "BreadcrumbList", "itemListElement": [ { "@type": "ListItem", "position": 1, "name": "Apify", "item": "https://apify.com" }, { "@type": "ListItem", "position": 2, "name": "AgentX", "item": "https://apify.com/agentx" }, { "@type": "ListItem", "position": 3, "name": "LinkedIn Company Scraper", "item": "https://apify.com/agentx/linkedin-company-scraper" } ] } ] } ``` *** ### Pricing & Cost Calculator #### Pay-Per-Result Pricing | Event | Price | | -------------- | ----------------- | | Actor Start | $0.01 per run | | Company Result | $0.20 per company | #### Cost Examples | Volume | Estimated Cost | | ------------- | -------------- | | 10 companies | ~$2.01 | | 50 companies | ~$10.01 | | 100 companies | ~$20.01 | | 500 companies | ~$100.01 | > Start with a free Apify account — new accounts include free compute credits to test the actor at no cost. *** ### Use Cases & Applications #### CRM Enrichment & Account Intelligence **B2B Account Firmographic Enrichment** Enrich CRM records with LinkedIn firmographic data — `industry`, `company_size`, `company_type`, `founded`, `headquarters`, and `employee_count` — directly from LinkedIn's authoritative data source for Salesforce, HubSpot, and custom CRM workflows. **ICP Scoring & Account Segmentation** Use `industry`, `employee_count`, `company_type`, and `specialties` to score inbound accounts against your Ideal Customer Profile criteria — automating account qualification and routing in revenue operations pipelines. **Contact-to-Account Matching** Pair LinkedIn company profiles with [LinkedIn Profile Scraper](https://apify.com/agentx/linkedin-profile-scraper?fpr=aiagentapi) data to build complete account + contact intelligence for ABM campaigns and outbound sales sequences. #### Competitive Intelligence **Competitive Landscape Mapping** Extract firmographic profiles for 50-500 competitor and adjacent companies to build structured competitive maps — benchmarking headcount growth, industry classification, and geographic footprint across your competitive set. **Hiring Signal Intelligence** Combine `employee_count` time-series data with [LinkedIn Hiring Scraper](https://apify.com/agentx/linkedin-hiring-scraper?fpr=aiagentapi) output to detect which companies are expanding teams — surfacing high-intent buyers for sales intelligence platforms. **Company Activity Monitoring** Use the `updates` field to track company announcement frequency, engagement rates, and content themes — feeding intent signal models and marketing intelligence dashboards. #### Market Research **Industry Segmentation Analysis** Build structured datasets of companies by `industry`, `company_size`, and `headquarters` for market sizing, TAM analysis, and regional market entry research. *** ### FAQ #### What LinkedIn URL format does this actor accept? Standard public LinkedIn company page URLs in the format `https://www.linkedin.com/company/`. #### Does this actor require LinkedIn login? No. The actor extracts data from publicly accessible LinkedIn company pages only. #### What is `featured_employees`? Employees that LinkedIn highlights on the company page — typically executives, founders, or LinkedIn Influencers associated with the company. #### What does the `updates` field contain? Recent posts published on the company's LinkedIn page, including post content, posting date, reaction count, and comment count. #### Can I process multiple companies at once? Run one company per actor invocation. For bulk processing, use the [Apify Scheduler](https://docs.apify.com/platform/schedules) or iterate through company URLs programmatically. *** ### SEO Keywords & Search Terms #### Primary Keywords LinkedIn company scraper API, LinkedIn firmographic data extraction, LinkedIn company intelligence API, LinkedIn CRM enrichment API, company profile scraper LinkedIn, LinkedIn B2B data extraction, firmographic data API LinkedIn, LinkedIn company data pipeline, employee count API LinkedIn, LinkedIn headcount extraction #### Long-Tail Keywords how to extract LinkedIn company data programmatically, LinkedIn company industry extraction API, LinkedIn headcount and follower data, CRM enrichment with LinkedIn company data, B2B account firmographic API, LinkedIn company page scraper, competitive intelligence LinkedIn company profiles, LinkedIn ICP scoring data pipeline, ABM account enrichment LinkedIn, LinkedIn company office locations API #### Industry Terms firmographic intelligence API, LinkedIn company data, CRM account enrichment, B2B account intelligence, ICP qualification data, ABM data pipeline, competitive landscape mapping, employee count intelligence, company follower data API, revenue operations enrichment #### Use Case Keywords LinkedIn data pipeline, B2B CRM enrichment tool, account firmographic scoring API, competitive intelligence company profiles, LinkedIn company monitoring tool, company headcount tracker, ABM account intelligence API, sales intelligence LinkedIn data, market entry research company data, LinkedIn company update tracker *** ### Trust & Certifications - ✅ **Production-Grade Infrastructure** — runs on the Apify cloud platform with managed proxy rotation and automatic retries - ✅ **GDPR & CCPA Aligned** — extracts only publicly accessible LinkedIn company pages; no personal candidate data inferred or retained beyond the run session - ✅ **Pay-Per-Result Billing** — transparent per-company pricing with no monthly minimum or seat fees - ✅ **Continuously Maintained** — schema and selector updates released as LinkedIn evolves *** ### Legal & Compliance #### Data Rights & Usage All data extracted by this actor originates from publicly available LinkedIn company pages. Users are responsible for ensuring their use of extracted data complies with applicable laws and LinkedIn's terms of service. #### Privacy Compliance - **GDPR**: Compliant with EU General Data Protection Regulation. Only publicly available company data is extracted. - **CCPA**: Compliant with California Consumer Privacy Act requirements. #### Platform Terms of Service Users must review and comply with LinkedIn's terms of service when using extracted data. #### Enterprise Support For enterprise licensing, custom integrations, or compliance inquiries: - **Telegram**: [@AiAgentApi](https://t.me/AiAgentApi) *** ### Related Tools #### Jobs & Hiring - **[All Jobs Scraper](https://apify.com/agentx/all-jobs-scraper?fpr=aiagentapi)** - Multi-Platform Job Listings Intelligence API - **[Glassdoor Hiring Scraper](https://apify.com/agentx/glassdoor-hiring-scraper?fpr=aiagentapi)** - Glassdoor Job Listings Intelligence API - **[Glints Employer Data Extractor](https://apify.com/agentx/glints-employer-data-extractor?fpr=aiagentapi)** - Glints Employer Intelligence API - **[Glints Jobs Data Extractor](https://apify.com/agentx/glints-jobs-data-extractor?fpr=aiagentapi)** - Glints Job Listings Intelligence API - **[Indeed Hiring Scraper](https://apify.com/agentx/indeed-hiring-scraper?fpr=aiagentapi)** - 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Global Weather Intelligence API *** ### Support & Community - **👥 Community**: [@Apify\_Actor](https://t.me/Apify_Actor) - **👤 Contact Team**: [@AiAgentApi](https://t.me/AiAgentApi) *** **Last Updated:** May 01, 2026 # Actor input Schema ## `linkedin_url` (type: `string`): Public LinkedIn company page URL to look up ## `max_jobs` (type: `integer`): Maximum number of job detail pages to collect from the company Jobs tab. Use 0 to skip jobs. ## Actor input object example ```json { "linkedin_url": "https://www.linkedin.com/company/apple", "max_jobs": 10 } ``` # Actor output Schema ## `results` (type: `string`): All looked-up LinkedIn company profiles with full details. # 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 = { "linkedin_url": "https://www.linkedin.com/company/apple", "max_jobs": 0 }; // Run the Actor and wait for it to finish const run = await client.actor("agentx/linkedin-company-lookup").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 = { "linkedin_url": "https://www.linkedin.com/company/apple", "max_jobs": 0, } # Run the Actor and wait for it to finish run = client.actor("agentx/linkedin-company-lookup").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 '{ "linkedin_url": "https://www.linkedin.com/company/apple", "max_jobs": 0 }' | apify call agentx/linkedin-company-lookup --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=agentx/linkedin-company-lookup", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "LinkedIn Company Lookup", "description": "LinkedIn company-profile lookup. Pass any /company/ URL and the response returns the verified name, industry, exact employee count, follower count, founding year, HQ + office locations, website, listed phones, social handles, specialties, featured employees, and recent posts for ABM enrichment.", "version": "1.0", "x-build-id": "thJCtpg7GK5ydeQYh" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/agentx~linkedin-company-lookup/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-agentx-linkedin-company-lookup", "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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/agentx~linkedin-company-lookup/runs": { "post": { "operationId": "runs-sync-agentx-linkedin-company-lookup", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/agentx~linkedin-company-lookup/run-sync": { "post": { "operationId": "run-sync-agentx-linkedin-company-lookup", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": [ "linkedin_url" ], "properties": { "linkedin_url": { "title": "🔗 LinkedIn URL", "type": "string", "description": "Public LinkedIn company page URL to look up" }, "max_jobs": { "title": "💼 Max Jobs", "minimum": 0, "maximum": 100, "type": "integer", "description": "Maximum number of job detail pages to collect from the company Jobs tab. Use 0 to skip jobs.", "default": 0 } } }, "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 } } } } } } } } } } ```