# LinkedIn Job Miner (`pimi_dev/linkedin-job-miner`) Actor Collects structured LinkedIn public job listing data with advanced search filters, optional detail enrichment, and strong deduplication. - **URL**: https://apify.com/pimi\_dev/linkedin-job-miner.md - **Developed by:** [peyman](https://apify.com/pimi_dev) (community) - **Categories:** Jobs, Automation, Developer tools - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, NaN bookmarks - **User rating**: No ratings yet ## Pricing from $3.00 / 1,000 results 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 Job Miner Actor Production-oriented Apify Actor that collects structured public LinkedIn Jobs data with filterable search seeds, resilient extraction paths, optional detail enrichment, and duplicate-safe output. ### Example input ```json { "keywords": "backend engineer, node.js developer", "keywordMode": "any", "location": "Germany", "geoId": "", "experienceLevel": ["entry", "associate", "mid_senior"], "jobType": ["full_time", "contract"], "remoteFilter": "hybrid", "datePosted": "past_week", "company": ["Siemens", "SAP"], "maxItems": 300, "maxPages": 25, "maxConcurrency": 3, "navigationTimeoutSecs": 45, "useApifyProxy": true, "proxyCountry": "DE", "resumeFromOffset": 0, "includeCompanyMetadata": true, "enrichJobDetails": false } ```` For lowest cost runs, keep `enrichJobDetails` set to `false`. ### Output Each dataset item uses this structure: ```json { "jobId": "1234567890", "title": "Backend Engineer", "companyName": "Example Corp", "companyUrl": "https://www.linkedin.com/company/example-corp/", "location": "Berlin, Germany", "remoteType": "Hybrid", "postedDate": "1 week ago", "jobUrl": "https://www.linkedin.com/jobs/view/1234567890/", "jobDescription": "Full job description text...", "employmentType": "Full-time", "seniorityLevel": "Mid-Senior level", "salary": null, "benefits": null, "scrapedAt": "2026-04-28T12:00:00.000Z" } ``` # Actor input Schema ## `keywords` (type: `string`): Search query for job title, skills, or free-text terms. ## `keywordMode` (type: `string`): Use all keywords in one query or split by comma/new line and search each term separately (OR mode). ## `location` (type: `string`): City, country, or region as shown in LinkedIn Jobs search. ## `geoId` (type: `string`): Optional LinkedIn internal geoId for more precise targeting. ## `company` (type: `array`): Optional list of company names to keep. Matching is case-insensitive contains(). ## `experienceLevel` (type: `array`): Filter by LinkedIn experience levels. ## `jobType` (type: `array`): Filter by contract type. ## `remoteFilter` (type: `string`): Filter by on-site, remote, or hybrid jobs. ## `datePosted` (type: `string`): How recent the jobs should be. ## `maxItems` (type: `integer`): Maximum number of jobs to push to dataset. ## `maxPages` (type: `integer`): Maximum number of paginated result pages to crawl per seed query. ## `maxConcurrency` (type: `integer`): Number of parallel browser pages. ## `navigationTimeoutSecs` (type: `integer`): Page navigation timeout for each request. ## `resumeFromOffset` (type: `integer`): Start pagination from this LinkedIn offset (increments by 25). ## `useApifyProxy` (type: `boolean`): Use Apify residential proxy if credentials are available. ## `proxyCountry` (type: `string`): Country code for proxy routing (for example US, GB, DE). ## `enrichJobDetails` (type: `boolean`): Open each job detail page to fetch full description and metadata. Disable for much cheaper/faster list scraping. ## `includeCompanyMetadata` (type: `boolean`): Include nested company object in output for downstream processing. ## Actor input object example ```json { "keywords": "software engineer", "keywordMode": "all", "location": "United States", "geoId": "", "company": [], "experienceLevel": [], "jobType": [], "remoteFilter": "any", "datePosted": "past_week", "maxItems": 200, "maxPages": 20, "maxConcurrency": 3, "navigationTimeoutSecs": 45, "resumeFromOffset": 0, "useApifyProxy": true, "proxyCountry": "US", "enrichJobDetails": false, "includeCompanyMetadata": false } ``` # Actor output Schema ## `dataset` (type: `string`): No description ## `scrapeSummary` (type: `string`): No description ## `run` (type: `string`): No description # 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 = {}; // Run the Actor and wait for it to finish const run = await client.actor("pimi_dev/linkedin-job-miner").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 = {} # Run the Actor and wait for it to finish run = client.actor("pimi_dev/linkedin-job-miner").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 '{}' | apify call pimi_dev/linkedin-job-miner --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=pimi_dev/linkedin-job-miner", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "LinkedIn Job Miner", "description": "Collects structured LinkedIn public job listing data with advanced search filters, optional detail enrichment, and strong deduplication.", "version": "0.1", "x-build-id": "HaKLi67A8iVfoBNvS" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/pimi_dev~linkedin-job-miner/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-pimi_dev-linkedin-job-miner", "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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/pimi_dev~linkedin-job-miner/runs": { "post": { "operationId": "runs-sync-pimi_dev-linkedin-job-miner", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/pimi_dev~linkedin-job-miner/run-sync": { "post": { "operationId": "run-sync-pimi_dev-linkedin-job-miner", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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", "properties": { "keywords": { "title": "Keywords", "type": "string", "description": "Search query for job title, skills, or free-text terms.", "default": "software engineer" }, "keywordMode": { "title": "Keyword Mode", "enum": [ "all", "any" ], "type": "string", "description": "Use all keywords in one query or split by comma/new line and search each term separately (OR mode).", "default": "all" }, "location": { "title": "Location", "type": "string", "description": "City, country, or region as shown in LinkedIn Jobs search.", "default": "United States" }, "geoId": { "title": "LinkedIn Geo ID", "type": "string", "description": "Optional LinkedIn internal geoId for more precise targeting.", "default": "" }, "company": { "title": "Company Names", "type": "array", "description": "Optional list of company names to keep. Matching is case-insensitive contains().", "default": [], "items": { "type": "string" } }, "experienceLevel": { "title": "Experience Level", "type": "array", "description": "Filter by LinkedIn experience levels.", "items": { "type": "string", "enum": [ "internship", "entry", "associate", "mid_senior", "director", "executive" ], "enumTitles": [ "Internship", "Entry level", "Associate", "Mid-Senior level", "Director", "Executive" ] }, "default": [] }, "jobType": { "title": "Job Type", "type": "array", "description": "Filter by contract type.", "items": { "type": "string", "enum": [ "full_time", "part_time", "contract", "temporary", "internship" ], "enumTitles": [ "Full-time", "Part-time", "Contract", "Temporary", "Internship" ] }, "default": [] }, "remoteFilter": { "title": "Workplace Type", "enum": [ "any", "on_site", "remote", "hybrid" ], "type": "string", "description": "Filter by on-site, remote, or hybrid jobs.", "default": "any" }, "datePosted": { "title": "Date Posted", "enum": [ "past_24h", "past_week", "past_month", "anytime" ], "type": "string", "description": "How recent the jobs should be.", "default": "past_week" }, "maxItems": { "title": "Max Jobs To Save", "minimum": 1, "maximum": 10000, "type": "integer", "description": "Maximum number of jobs to push to dataset.", "default": 200 }, "maxPages": { "title": "Max Search Pages", "minimum": 1, "maximum": 400, "type": "integer", "description": "Maximum number of paginated result pages to crawl per seed query.", "default": 20 }, "maxConcurrency": { "title": "Max Concurrency", "minimum": 1, "maximum": 10, "type": "integer", "description": "Number of parallel browser pages.", "default": 3 }, "navigationTimeoutSecs": { "title": "Navigation Timeout (seconds)", "minimum": 20, "maximum": 180, "type": "integer", "description": "Page navigation timeout for each request.", "default": 45 }, "resumeFromOffset": { "title": "Resume From Offset", "minimum": 0, "type": "integer", "description": "Start pagination from this LinkedIn offset (increments by 25).", "default": 0 }, "useApifyProxy": { "title": "Use Apify Proxy", "type": "boolean", "description": "Use Apify residential proxy if credentials are available.", "default": true }, "proxyCountry": { "title": "Proxy Country", "type": "string", "description": "Country code for proxy routing (for example US, GB, DE).", "default": "US" }, "enrichJobDetails": { "title": "Enrich Job Details", "type": "boolean", "description": "Open each job detail page to fetch full description and metadata. Disable for much cheaper/faster list scraping.", "default": false }, "includeCompanyMetadata": { "title": "Include Company Metadata", "type": "boolean", "description": "Include nested company object in output for downstream processing.", "default": 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 } } } } } } } } } } ```