# LinkedIn Jobs & Company Scraper (`rupom888/linkedin-jobs-scraper`) Actor Scrape LinkedIn job listings and company profiles without login. Extracts job title, company, location, salary, job type, seniority level, industry, easy apply status, applicant count, and full job descriptions. Supports date filters, experience level, remote-only, and sort options. - **URL**: https://apify.com/rupom888/linkedin-jobs-scraper.md - **Developed by:** [Syed Rupom](https://apify.com/rupom888) (community) - **Categories:** Jobs, Lead generation, Social media - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, NaN bookmarks - **User rating**: No ratings yet ## Pricing from $0.50 / 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 Jobs & Company Scraper Scrape LinkedIn job listings and company profiles without needing a LinkedIn account or API key. Filter by keyword, location, job type, experience level, date posted, and remote status. Priced at **$0.80 per 1,000 results**. ### What it scrapes #### Job listings - Job title, company name, and company logo URL - Location (city, state, country) - Date posted and number of applicants - Employment type, seniority level, and industry - Easy Apply availability - Full job description (with `scrapeFullDescriptions: true`) - Direct application URL #### Company profiles - Company name, description, and industry - Follower count, employee count - Website, headquarters, founding year - Specialties ### Sample output (job) ```json { "job_id": "3900000000", "title": "Senior Software Engineer", "company": "Google", "company_url": "https://www.linkedin.com/company/google/", "location": "Mountain View, CA", "remote": false, "posted_at": "2 days ago", "applicant_count": "200+ applicants", "employment_type": "Full-time", "seniority_level": "Mid-Senior level", "industry": "Software Development", "easy_apply": false, "description": "We're looking for...", "apply_url": "https://www.linkedin.com/jobs/view/..." } ```` ### Input ```json { "scrapeType": "jobs", "keywords": ["software engineer", "data scientist"], "location": ["United States"], "resultsPerKeyword": 25, "datePosted": "week", "jobType": "fulltime", "experienceLevel": "mid_senior", "remote": false, "sortBy": "relevance", "scrapeFullDescription": true } ``` ### Input fields | Field | Type | Default | Description | |-------|------|---------|-------------| | `scrapeType` | string | `jobs` | `jobs` or `company` | | `keywords` | string\[] | — | Job titles or skills to search | | `location` | string\[] | — | City, country, or region | | `companyUrls` | string\[] | — | LinkedIn company URLs (company mode only) | | `resultsPerKeyword` | integer | 25 | Max listings per keyword (up to 1,000) | | `datePosted` | string | any | `day`, `week`, `month`, or any | | `jobType` | string | any | `fulltime`, `parttime`, `contract`, `internship` | | `experienceLevel` | string | any | `entry`, `associate`, `mid_senior`, `director`, `executive` | | `remote` | boolean | false | Remote jobs only | | `sortBy` | string | `relevance` | `relevance` or `date` | | `easyApplyOnly` | boolean | false | LinkedIn Easy Apply listings only | | `excludePromoted` | boolean | false | Skip sponsored/promoted listings | | `scrapeFullDescription` | boolean | false | Visit each job page for full description, industry, function | ### Use cases - Job market research and salary benchmarking - Recruiting pipeline: bulk collect candidate-facing job descriptions - Competitor intelligence: track hiring trends at target companies - Company profile enrichment for lead generation ### Notes - LinkedIn rate-limits aggressively — residential proxy recommended for >100 results - `scrapeFullDescription: true` adds ~2 seconds per job listing - No LinkedIn login required — scrapes public job listings only - Date filters reduce result count but increase relevance ### Pricing **$0.80 per 1,000 results** — no LinkedIn API subscription needed. # Actor input Schema ## `scrapeType` (type: `string`): Choose what to scrape: job listings or company profiles. ## `keywords` (type: `array`): Job titles or keywords to search (e.g. 'software engineer', 'product manager'). Used for job search only. ## `location` (type: `array`): City, country, or region to search in. Leave empty for global/remote. Used for job search only. ## `companyUrls` (type: `array`): LinkedIn company profile URLs to scrape. Used for company scrape type only. ## `resultsPerKeyword` (type: `integer`): Maximum job listings to extract per keyword/location combination. ## `datePosted` (type: `string`): Filter jobs by posting date. ## `jobType` (type: `string`): Filter by employment type. ## `experienceLevel` (type: `string`): Filter by required experience level. ## `remote` (type: `boolean`): Filter to remote jobs only. ## `sortBy` (type: `string`): Sort results by relevance or most recent. ## `easyApplyOnly` (type: `boolean`): Only return jobs with LinkedIn Easy Apply. ## `excludePromoted` (type: `boolean`): Exclude promoted/sponsored job listings. ## `scrapeFullDescription` (type: `boolean`): Visit each job page to extract the full description, seniority level, industry, job function, and applicant count. Slower but richer data. ## `proxyConfiguration` (type: `object`): Residential proxy strongly recommended for LinkedIn scraping at scale. ## Actor input object example ```json { "scrapeType": "jobs", "keywords": [ "software engineer", "data scientist" ], "location": [ "United States", "London, England" ], "companyUrls": [ "https://www.linkedin.com/company/google/" ], "resultsPerKeyword": 25, "datePosted": "", "jobType": "", "experienceLevel": "", "remote": false, "sortBy": "relevance", "easyApplyOnly": false, "excludePromoted": false, "scrapeFullDescription": false, "proxyConfiguration": { "useApifyProxy": true, "apifyProxyGroups": [ "RESIDENTIAL" ], "apifyProxyCountry": "US" } } ``` # 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" ], "proxyConfiguration": { "useApifyProxy": true, "apifyProxyGroups": [ "RESIDENTIAL" ], "apifyProxyCountry": "US" } }; // Run the Actor and wait for it to finish const run = await client.actor("rupom888/linkedin-jobs-scraper").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"], "proxyConfiguration": { "useApifyProxy": True, "apifyProxyGroups": ["RESIDENTIAL"], "apifyProxyCountry": "US", }, } # Run the Actor and wait for it to finish run = client.actor("rupom888/linkedin-jobs-scraper").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" ], "proxyConfiguration": { "useApifyProxy": true, "apifyProxyGroups": [ "RESIDENTIAL" ], "apifyProxyCountry": "US" } }' | apify call rupom888/linkedin-jobs-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=rupom888/linkedin-jobs-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "LinkedIn Jobs & Company Scraper", "description": "Scrape LinkedIn job listings and company profiles without login. Extracts job title, company, location, salary, job type, seniority level, industry, easy apply status, applicant count, and full job descriptions. Supports date filters, experience level, remote-only, and sort options.", "version": "0.1", "x-build-id": "XE3NcWqrVakQUc6ru" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/rupom888~linkedin-jobs-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-rupom888-linkedin-jobs-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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/rupom888~linkedin-jobs-scraper/runs": { "post": { "operationId": "runs-sync-rupom888-linkedin-jobs-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/rupom888~linkedin-jobs-scraper/run-sync": { "post": { "operationId": "run-sync-rupom888-linkedin-jobs-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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", "properties": { "scrapeType": { "title": "Scrape Type", "enum": [ "jobs", "company" ], "type": "string", "description": "Choose what to scrape: job listings or company profiles.", "default": "jobs" }, "keywords": { "title": "Job Keywords", "type": "array", "description": "Job titles or keywords to search (e.g. 'software engineer', 'product manager'). Used for job search only.", "items": { "type": "string" } }, "location": { "title": "Location", "type": "array", "description": "City, country, or region to search in. Leave empty for global/remote. Used for job search only.", "items": { "type": "string" } }, "companyUrls": { "title": "Company Profile URLs", "type": "array", "description": "LinkedIn company profile URLs to scrape. Used for company scrape type only.", "items": { "type": "string" } }, "resultsPerKeyword": { "title": "Results Per Keyword", "minimum": 1, "maximum": 1000, "type": "integer", "description": "Maximum job listings to extract per keyword/location combination.", "default": 25 }, "datePosted": { "title": "Date Posted", "enum": [ "", "day", "week", "month" ], "type": "string", "description": "Filter jobs by posting date.", "default": "" }, "jobType": { "title": "Job Type", "enum": [ "", "fulltime", "parttime", "contract", "temporary", "volunteer", "internship", "other" ], "type": "string", "description": "Filter by employment type.", "default": "" }, "experienceLevel": { "title": "Experience Level", "enum": [ "", "internship", "entry", "associate", "mid_senior", "director", "executive" ], "type": "string", "description": "Filter by required experience level.", "default": "" }, "remote": { "title": "Remote Only", "type": "boolean", "description": "Filter to remote jobs only.", "default": false }, "sortBy": { "title": "Sort By", "enum": [ "relevance", "date" ], "type": "string", "description": "Sort results by relevance or most recent.", "default": "relevance" }, "easyApplyOnly": { "title": "Easy Apply Only", "type": "boolean", "description": "Only return jobs with LinkedIn Easy Apply.", "default": false }, "excludePromoted": { "title": "Exclude Promoted", "type": "boolean", "description": "Exclude promoted/sponsored job listings.", "default": false }, "scrapeFullDescription": { "title": "Scrape Full Descriptions", "type": "boolean", "description": "Visit each job page to extract the full description, seniority level, industry, job function, and applicant count. Slower but richer data.", "default": false }, "proxyConfiguration": { "title": "Proxy Configuration", "type": "object", "description": "Residential proxy strongly recommended for LinkedIn scraping at scale." } } }, "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 } } } } } } } } } } ```