# LinkedIn Jobs Intelligence — B2B Sales Signals (`echocall/linkedin-jobs-intelligence`) Actor Scrape LinkedIn job listings and generate B2B sales intelligence. Find companies actively hiring (growth signal), track competitor hiring, and export structured job data. No login required. - **URL**: https://apify.com/echocall/linkedin-jobs-intelligence.md - **Developed by:** [Kristian Gasic](https://apify.com/echocall) (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 Pay per usage This Actor is paid per platform usage. The Actor is free to use, and you only pay for the Apify platform usage, which gets cheaper the higher subscription plan you have. Learn more: https://docs.apify.com/platform/actors/running/actors-in-store#pay-per-usage ## 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 Jobs Intelligence — B2B Sales Signals **Extract LinkedIn job listings and turn hiring data into actionable B2B sales intelligence. No login or LinkedIn account required.** Find companies that are actively scaling their teams — the single strongest signal that a business is growing and ready to buy. --- ### What does this Actor do? This Actor scrapes public LinkedIn job listings and goes one step further: it aggregates the data into a **B2B Sales Intelligence Report** that tells you *which companies are hiring fast and why that matters for your pipeline.* #### For B2B Sales Teams - A company posting 10+ engineering jobs = **rapid product expansion** → perfect time to pitch your SaaS - A company hiring a VP of Sales = **scaling their revenue team** → they need your tooling - A competitor posting many roles = **intelligence on their growth trajectory** #### For Recruiters & HR Analysts - Monitor which companies are hiring for your target role - Track salary ranges and seniority distributions across the market - Get competitor hiring activity in real-time #### For Market Researchers & Investors - Track hiring velocity as a leading indicator of company growth - Identify emerging hubs and remote-friendly companies - Monitor industry-wide talent demand shifts --- ### Output #### Per job listing | Field | Description | |---|---| | `jobId` | LinkedIn job ID | | `title` | Job title | | `company` | Company name | | `companyUrl` | LinkedIn company page URL | | `location` | Job location | | `postedAt` | ISO date when posted | | `jobUrl` | Direct link to the job posting | | `salary` | Salary range (if listed) | | `seniorityLevel` | e.g. Mid-Senior, Director (requires fetchDetails) | | `employmentType` | Full-time / Part-time / Contract (requires fetchDetails) | | `industry` | Company industry (requires fetchDetails) | | `description` | Full job description text (requires fetchDetails) | | `applicantCount` | Number of applicants (requires fetchDetails) | #### Sales Intelligence Report (free, always included) ```json { "_type": "SALES_INTELLIGENCE_REPORT", "totalJobsScraped": 250, "uniqueCompanies": 87, "topHiringCompanies": [ { "company": "Stripe", "openPositions": 18, "roles": ["Senior Engineer", "Staff Engineer", "Product Manager"], "seniorityMix": { "Senior": 12, "Mid-Senior": 6 }, "locations": ["San Francisco, CA", "Remote"], "salesSignal": "HIGH — actively scaling", "hiringVelocityScore": 10 } ] } ```` *** ### Pricing | What you pay for | Cost | |---|---| | Job listing scraped | **$3 per 1,000** | | Full job description (optional) | **+$2 per 1,000** | | Sales Intelligence Report | **Free** | **Example:** 100 jobs with full details = $0.30 + $0.20 = **$0.50 total** *** ### Input options | Parameter | Default | Description | |---|---|---| | `keywords` | *required* | Job title or skills, e.g. `software engineer` | | `location` | `United States` | City, country, or `Remote` | | `maxResults` | `100` | Up to 500 results per run | | `fetchDetails` | `false` | Fetch full description, seniority, applicant count | | `datePosted` | `any` | Filter: `day`, `week`, `month`, `any` | | `workType` | `any` | Filter: `remote`, `hybrid`, `onsite`, `any` | | `generateReport` | `true` | Include B2B Sales Intelligence summary | *** ### Example use cases **Find SaaS sales prospects:** → Keywords: `head of engineering` | Location: `United States` | Date: `week` → Every company hiring a Head of Engineering is scaling engineering = potential SaaS buyer **Track a competitor's hiring:** → Keywords: `(any role)` | Company IDs: `(your competitor's LinkedIn ID)` → See their exact hiring pace, roles, and locations **Recruitment market analysis:** → Keywords: `data scientist` | Location: `Germany` | Fetch details: `on` → Get salary ranges, seniority distributions, top employers *** ### FAQ **Does this require a LinkedIn account or API key?** No. This Actor uses LinkedIn's public job listings only. No credentials needed. **How fresh is the data?** Jobs are scraped live from LinkedIn at the time of the run. Use `datePosted: day` for the freshest listings. **What proxy is used?** The Actor uses Apify Datacenter Proxies by default (included in your Apify plan). If you experience blocks, upgrade to Residential Proxies in the proxy settings. **Is this compliant with LinkedIn's terms?** This Actor only accesses publicly visible job listings — the same data visible to any visitor without logging in. # Actor input Schema ## `keywords` (type: `string`): Job title or skills to search for, e.g. 'software engineer', 'sales manager', 'data scientist'. ## `location` (type: `string`): Location to search in, e.g. 'United States', 'Germany', 'London, UK', 'Remote'. ## `maxResults` (type: `integer`): Maximum number of job listings to scrape (default: 100, max: 500). Each result costs $0.003. ## `fetchDetails` (type: `boolean`): If enabled, fetches the full job description, seniority level, employment type, and applicant count for each listing. Costs an additional $0.002 per job. ## `datePosted` (type: `string`): Only show jobs posted within this time period. ## `workType` (type: `string`): Filter by work arrangement. ## `companyIds` (type: `string`): Comma-separated LinkedIn company numeric IDs to filter by specific companies. Leave empty for all companies. ## `generateReport` (type: `boolean`): Adds a summary record with top hiring companies, hiring velocity scores, and B2B sales signals. Free — included in every run. ## Actor input object example ```json { "keywords": "software engineer", "location": "United States", "maxResults": 100, "fetchDetails": false, "datePosted": "any", "workType": "any", "generateReport": true } ``` # API You can run this Actor programmatically using our API. Below are code examples in JavaScript, Python, and CLI, as well as the OpenAPI specification and MCP server setup. ## JavaScript example ```javascript import { ApifyClient } from 'apify-client'; // Initialize the ApifyClient with your Apify API token // Replace the '' with your token const client = new ApifyClient({ token: '', }); // Prepare Actor input const input = { "keywords": "software engineer", "location": "United States", "companyIds": "" }; // Run the Actor and wait for it to finish const run = await client.actor("echocall/linkedin-jobs-intelligence").call(input); // Fetch and print Actor results from the run's dataset (if any) console.log('Results from dataset'); console.log(`💾 Check your data here: https://console.apify.com/storage/datasets/${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 = { "keywords": "software engineer", "location": "United States", "companyIds": "", } # Run the Actor and wait for it to finish run = client.actor("echocall/linkedin-jobs-intelligence").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 '{ "keywords": "software engineer", "location": "United States", "companyIds": "" }' | apify call echocall/linkedin-jobs-intelligence --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=echocall/linkedin-jobs-intelligence", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "LinkedIn Jobs Intelligence — B2B Sales Signals", "description": "Scrape LinkedIn job listings and generate B2B sales intelligence. Find companies actively hiring (growth signal), track competitor hiring, and export structured job data. No login required.", "version": "1.0", "x-build-id": "FAVCPbx2K1e9yWxKL" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/echocall~linkedin-jobs-intelligence/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-echocall-linkedin-jobs-intelligence", "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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/echocall~linkedin-jobs-intelligence/runs": { "post": { "operationId": "runs-sync-echocall-linkedin-jobs-intelligence", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/echocall~linkedin-jobs-intelligence/run-sync": { "post": { "operationId": "run-sync-echocall-linkedin-jobs-intelligence", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": [ "keywords" ], "properties": { "keywords": { "title": "Job keywords", "type": "string", "description": "Job title or skills to search for, e.g. 'software engineer', 'sales manager', 'data scientist'." }, "location": { "title": "Location", "type": "string", "description": "Location to search in, e.g. 'United States', 'Germany', 'London, UK', 'Remote'." }, "maxResults": { "title": "Max job results", "minimum": 1, "maximum": 500, "type": "integer", "description": "Maximum number of job listings to scrape (default: 100, max: 500). Each result costs $0.003.", "default": 100 }, "fetchDetails": { "title": "Fetch full job descriptions", "type": "boolean", "description": "If enabled, fetches the full job description, seniority level, employment type, and applicant count for each listing. Costs an additional $0.002 per job.", "default": false }, "datePosted": { "title": "Date posted", "enum": [ "any", "day", "week", "month" ], "type": "string", "description": "Only show jobs posted within this time period.", "default": "any" }, "workType": { "title": "Work type", "enum": [ "any", "remote", "hybrid", "onsite" ], "type": "string", "description": "Filter by work arrangement.", "default": "any" }, "companyIds": { "title": "Company IDs (optional)", "type": "string", "description": "Comma-separated LinkedIn company numeric IDs to filter by specific companies. Leave empty for all companies." }, "generateReport": { "title": "Generate sales intelligence report", "type": "boolean", "description": "Adds a summary record with top hiring companies, hiring velocity scores, and B2B sales signals. Free — included in every run.", "default": 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 } } } } } } } } } } ```