# LinkedIn Job Scraper (`rigelbytes/linkedin-job-scraper`) Actor Scrape LinkedIn job postings with advanced filters including location, time range, job type, experience level, and work type. - **URL**: https://apify.com/rigelbytes/linkedin-job-scraper.md - **Developed by:** [Rigel Bytes](https://apify.com/rigelbytes) (community) - **Categories:** Jobs, Lead generation, News - **Stats:** 1 total users, 1 monthly users, 0.0% runs succeeded, 0 bookmarks - **User rating**: No ratings yet ## Pricing from $1.00 / 1,000 jobs 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 ## LinkedIn Job Scraper Extract thousands of job postings from LinkedIn with advanced search filters — location, time range, job type, experience level, and remote work type — to power job market research, recruitment analytics, and automated job alerts, for just **$1** per 1,000 jobs. --- ### What can LinkedIn Job Scraper do for you? - **Build targeted job databases** — Search by keyword, location, and filters to compile comprehensive lists of matching job postings for analysis or lead generation. - **Monitor hiring trends** — Track which companies are hiring, what roles are in demand, and how job markets shift over time. - **Power recruitment tools** — Feed structured LinkedIn job data into your ATS, CRM, or custom dashboards to streamline candidate sourcing. - **Analyze competitors** — See what roles your competitors are hiring for — a signal of growth areas, tech stacks, and strategic direction. - **Automate job alerts** — Schedule regular scrapes and export fresh listings to spreadsheets or databases without manual searching. - **Enrich with company data** — Optionally scrape each company's LinkedIn page for full details like description, follower count, and specialties. ### What data can you extract? | Field | Description | |-------|-------------| | 🔖 `jobId` | Unique LinkedIn job posting ID | | 📝 `title` | Job title | | 🏢 `companyName` | Company name | | 🌐 `companyUrl` | LinkedIn company page URL | | 🖼️ `companyLogo` | Company logo image URL | | 📍 `location` | Full location string (city, state, country) | | 🏙️ `city` | City | | 🌍 `country` | Country code (e.g. DE, US) | | 📅 `datePosted` | Posting date (ISO 8601) | | ⏳ `validThrough` | Application deadline | | 💼 `employmentType` | FULL_TIME, PART_TIME, CONTRACTOR, etc. | | 🏭 `industry` | Industry classification | | ⏱️ `monthsOfExperience` | Experience required (months) | | 🎓 `educationLevel` | Education requirement | | 🛠️ `skills` | Required skills | | 📄 `description` | Full job description | | 🔗 `url` | Direct link to the job posting | | 📌 `latitude` / `longitude` | GPS coordinates | ### Why use this scraper? - 📊 **Job market research** — Analyze salary trends, in-demand skills, and hiring volume across industries and regions. - 🔍 **Competitive intelligence** — Track competitors' hiring patterns to understand their growth and technology investments. - 🧑‍💼 **Recruitment & staffing** — Build candidate-ready job pipelines with structured data you can filter, sort, and export. - 🤖 **Automation & integration** — Connect scraped data to Google Sheets, Airtable, Slack, or any tool via the Apify API. ### Pricing - **$1/1,000 jobs** - No hidden fees or limits on usage. Apify platform plans include free monthly compute units — check your plan for details. --- ### How to use LinkedIn Job Scraper 1. **Create a free Apify account** at [apify.com/sign-up](https://apify.com/sign-up) 2. **Open the LinkedIn Job Scraper** at [apify.com/rigelbytes/linkedin-job-scraper](https://apify.com/rigelbytes/linkedin-job-scraper) 3. **Enter your search queries** — add keywords like "Python Developer" or "Data Scientist" 4. **Add filters** — location, time range, job type, experience level, and remote/hybrid/on-site 5. **Click Start** and let the scraper collect matching jobs 6. **Download your data** in JSON, CSV, Excel, or access it via API ### Input | Field | Type | Required | Description | |-------|------|----------|-------------| | `searchQueries` | array | No | Keywords or job titles to search for (e.g. "Python Developer") | | `startUrls` | array | No | Direct LinkedIn job search URLs. Overrides `searchQueries` | | `locations` | array | No | Location filters (e.g. "Germany", "London") | | `timeRange` | string | No | Posting date filter: `any`, `past24Hours`, `pastWeek`, `pastMonth` | | `jobType` | array | No | Employment type: `fullTime`, `partTime`, `contract`, `temporary`, `internship`, `volunteer` | | `experienceLevel` | array | No | Experience: `internship`, `entryLevel`, `associate`, `midSenior`, `director`, `executive` | | `remote` | array | No | Work arrangement: `onSite`, `remote`, `hybrid` | | `maxItems` | integer | No | Max jobs to scrape (0 = unlimited). Default: 0 | | `extractCompanyDetails` | boolean | No | Also scrape each company's LinkedIn page for full details. Default: false | | `proxyConfiguration` | object | No | Proxy settings for anti-bot protection | #### 📝 Copy for Use: ```json { "searchQueries": ["Python Developer"], "locations": ["Germany"], "timeRange": "any", "jobType": [], "experienceLevel": [], "remote": [], "maxItems": 30, "extractCompanyDetails": false, "proxyConfiguration": { "useApifyProxy": true, "apifyProxyGroups": ["RESIDENTIAL"] } } ```` ### Output ``` https://github.com/faizanalii/apify-images/blob/main/LinkedIn%20Job%20Scraper.gif?raw=true ``` ### Why Choose This Scraper? - **Affordable**: Pay only $1 per 1,000 jobs scraped. - **Comprehensive**: Extracts job details, company info, location, skills, and coordinates — 19 fields per listing. - **Easy to Use**: No coding needed — enter keywords and filters in the Apify Console, click Start, and download results. - **Reliable**: Built on Apify's infrastructure with automatic proxy rotation and retry logic to handle LinkedIn's anti-bot measures. ### Recommended Proxy Providers - ## **Shifter** - Reliable residential proxies all over the world. - Cheap rates - [Order Shifter Now](https://shifter.io/r/YoBB/order) - Get 10% Off any product, use coupan `rigelbytes-YoBB`. - ## **OxyLabs** - **100M+ Proxies** - Fastest proxies in the market - Real profile, human-like Residential IPs - Quality assurance framework for most reliable IPs - [Get Proxies](https://oxylabs.go2cloud.org/aff_c?offer_id=7\&aff_id=1366\&url_id=7) - ## **DataImpulse** - Covers **200+ Counties** - Reliable Residential Proxies for just $1/GB - [Get Residential Proxies](https://dataimpulse.com/?aff=89421) ### [![Learn More About Proxies](https://img.shields.io/badge/Learn_More-About_Proxies-blue?style=for-the-badge)](#understanding-proxies) ### 🙌 Why Buy Through Our Affiliate Link? - Exclusive Deals: Some providers may offer special discounts or bonuses when you use our link. - Support Our Work: Each purchase helps us maintain and improve the tools and services we provide. - No Extra Cost: You pay the same price, but part of it goes to supporting our efforts. #### Running via Apify Console You can run this actor from the Apify Console by providing the necessary input parameters. #### Running via API You can trigger this actor using the Apify API, passing the required input in the request body. ```shell ## Python from apify_client import ApifyClient client = ApifyClient("YOUR_APIFY_TOKEN") run = client.actor("rigelbytes/linkedin-job-scraper").call(run_input={ "searchQueries": ["Python Developer"], "locations": ["Germany"], "timeRange": "any", "maxItems": 30, "extractCompanyDetails": False, "proxyConfiguration": { "useApifyProxy": True, "apifyProxyGroups": ["RESIDENTIAL"] } }) results = client.dataset(run["defaultDatasetId"]).list_items().items ``` ```shell ## JavaScript import { ApifyClient } from "apify-client"; const client = new ApifyClient({ token: "YOUR_APIFY_TOKEN" }); const run = await client.actor("rigelbytes/linkedin-job-scraper").call({ searchQueries: ["Python Developer"], locations: ["Germany"], timeRange: "any", maxItems: 30, extractCompanyDetails: false, proxyConfiguration: { useApifyProxy: true, apifyProxyGroups: ["RESIDENTIAL"] } }); const { items } = await client.dataset(run.defaultDatasetId).listItems(); ``` ```shell ## cURL curl -X POST "https://api.apify.com/v2/acts/rigelbytes/linkedin-job-scraper/runs" \ -H "Authorization: Bearer YOUR_APIFY_TOKEN" \ -H "Content-Type: application/json" \ -d '{ "searchQueries": ["Python Developer"], "locations": ["Germany"], "timeRange": "any", "maxItems": 30, "proxyConfiguration": { "useApifyProxy": true, "apifyProxyGroups": ["RESIDENTIAL"] } }' ``` ### 🚀 Other Tools by Rigel Bytes Explore **78** more scraping tools by Rigel Bytes, organized by use case: #### 📱 Social Media Scrape Instagram, TikTok, LinkedIn, and more for content research and marketing intelligence. - 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Search by URL or location... - **[Immobiliare Italy Real Estate Scraper](https://apify.com/rigelbytes/immobiliare-it-scraper)** — Scrape property listings and market data from real estate portals for market research, price monitoring, and investment analysis. - **[Immobilienscout24](https://apify.com/rigelbytes/immobilienscout24)** — Scrape property listings and market data from real estate portals for market research, price monitoring, and investment analysis. - **[Immobilienscout24-scraper](https://apify.com/rigelbytes/immobilienscout24-scraper)** — Scrape property listings and market data from real estate portals for market research, price monitoring, and investment analysis. - **[Immoweb Scraper - Belgium Property Listings](https://apify.com/rigelbytes/immoweb-scraper)** — Scrapes property listings from Immoweb.be. Supports search result extraction with optional property detail enrichment. - **[Immowelt Property Scraper](https://apify.com/rigelbytes/immowelt-property-scraper)** — The Immowelt Scraper helps you extract unlimited real estate listings from Immowelt with complete details including... - **[Immowelt Scraper](https://apify.com/rigelbytes/immowelt-scraper)** — The Immowelt Scraper helps you extract unlimited real estate listings from Immowelt with complete details including... - **[Land.com Scraper](https://apify.com/rigelbytes/landdotcom-scraper)** — Scrape property listings and market data from Land.com for market research, price monitoring, and investment analysis. - **[Outdoorsy Scraper](https://apify.com/rigelbytes/outdoorsy-scraper)** — Scrape property listings and market data from Outdoorsy for market research, price monitoring, and investment analysis. - **[Propertyfinder Scraper](https://apify.com/rigelbytes/propertyfinder-scraper)** — Scrape property listings and market data from Property Finder for market research, price monitoring, and investment analysis. - **[Redfin Scraper](https://apify.com/rigelbytes/redfin-scraper)** — Scrape property listings and market data from Redfin for market research, price monitoring, and investment analysis. - **[Rightmove Scraper](https://apify.com/rigelbytes/rightmove-scraper)** — Scrape property listings and market data from Rightmove for market research, price monitoring, and investment analysis. - **[RVshare Scraper](https://apify.com/rigelbytes/rvshare-scraper)** — Scrape property listings and market data from RVshare for market research, price monitoring, and investment analysis. - **[Unlimited Redfin Scraper](https://apify.com/rigelbytes/unlimited-redfin-scraper)** — Scrape property listings and market data from Redfin for market research, price monitoring, and investment analysis. - **[Zillow Detail Scraper](https://apify.com/rigelbytes/zillow-detail-scraper)** — Scrape property listings and market data from Zillow for market research, price monitoring, and investment analysis. - **[Zillow Scraper](https://apify.com/rigelbytes/zillow-scraper)** — Scrape property listings and market data from Zillow for market research, price monitoring, and investment analysis. - **[Zoopla Scraper](https://apify.com/rigelbytes/zoopla-scraper)** — Scrape property listings and market data from Zoopla for market research, price monitoring, and investment analysis. #### ✈️ Travel & Hospitality Monitor rentals, bookings, and travel listings at scale. - **[Autotrader Scraper](https://apify.com/rigelbytes/autotrader-scraper)** — Scrapes car listings from Autotrader.com with advanced search filters, pagination, and detailed vehicle data. - **[CarMax Scraper](https://apify.com/rigelbytes/carmax-scraper)** — Scrapes used car listings from CarMax.com with search URL, zip code filtering, and pagination support. - **[Cars.com Scraper](https://apify.com/rigelbytes/cars-scraper)** — Scrapes car listings from Cars.com using their GraphQL API. 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Extract detailed attorney and firm information including contact details,... - **[Google Maps Scraper](https://apify.com/rigelbytes/google-maps-scraper)** — Find business leads and contact details from Google Maps for outbound sales, prospecting, and CRM enrichment. - **[Website Services Finder](https://apify.com/rigelbytes/website-services-finder)** — Automatically extract and analyze company services from any business website using advanced AI. Choose from 5 AI... - **[Zillow Agents](https://apify.com/rigelbytes/zillow-agents)** — Find business leads and contact details from Zillow for outbound sales, prospecting, and CRM enrichment. - **[Zillow Agents Phone](https://apify.com/rigelbytes/zillow-agents-phone)** — Find business leads and contact details from Zillow for outbound sales, prospecting, and CRM enrichment. #### ⭐ Reviews & Ratings Monitor reviews and reputation data across review platforms. - **[Airbnb Listing Reviews](https://apify.com/rigelbytes/airbnb-listing-reviews)** — Collect reviews and ratings from Airbnb for reputation monitoring and customer insights. - **[BBB Scraper](https://apify.com/rigelbytes/bbb-scraper)** — Collect reviews and ratings from BBB for reputation monitoring and customer insights. - **[Rottentomatoes Reviews Scraper](https://apify.com/rigelbytes/rottentomatoes-reviews-scraper)** — Collect reviews and ratings from Rotten Tomatoes for reputation monitoring and customer insights. - **[Trustpilot Reviews Scraper](https://apify.com/rigelbytes/trustpilot-reviews)** — Collect reviews and ratings from Trustpilot for reputation monitoring and customer insights. #### 🍔 Food & Delivery Extract restaurant, grocery, and delivery platform data. - **[Instacart Scraper](https://apify.com/rigelbytes/instacart-scraper)** — Scrape menus, stores, and delivery data from Instacart for data-driven research and automation. - **[Publix Scraper](https://apify.com/rigelbytes/publix-scraper)** — Scrape menus, stores, and delivery data from Publix for data-driven research and automation. #### 🛠️ Developer Tools General-purpose scraping and automation tools. - **[Web Crawler](https://apify.com/rigelbytes/webcrawler)** — This web crawler is designed to provide users with complete flexibility by allowing them to use their \*\*own... ### Understanding Proxies: When scraping data or browsing anonymously, proxies are essential. They act as intermediaries, masking your original IP address and allowing you to send requests from another location. #### Why Use Proxies? - Avoid IP Blocks: By routing requests through proxies, you prevent the target website from recognizing your IP as a scraper or spammer. - Access Geo-restricted Content: Proxies let you access content or websites restricted by location. - Enhance Anonymity: Hide your actual IP, ensuring privacy while scraping or browsing. #### Types of Proxies 1. Residential Proxies - Real IP addresses provided by ISPs to home users. - They mimic regular users, making them harder to detect. - Best for: Long-term, undetectable scraping, and avoiding blocks. 2. Data Center Proxies - IP addresses from servers in data centers. - Faster and cheaper than residential proxies but easier to detect and block. - Best for: High-speed scraping, but with a higher risk of detection. 3. Mobile Proxies - IPs provided by mobile carriers (3G/4G/5G networks). - Very difficult to detect, as they appear as regular mobile users. - Best for: Mobile-related scraping or avoiding sophisticated blocks. #### Rotating Proxies vs. Straight Proxies - Rotating Proxies: Every request you send goes through a different proxy, making it harder for websites to detect patterns. - Straight Proxies: All requests are sent through the same proxy, making it easier to track your IP. ### About Rigel Bytes Rigel Bytes specializes in web scraping, automation, and data analytics. We help businesses extract and leverage valuable data for informed decision-making. ### Contact Us Ready to unlock the power of data? Reach out to us at (contact@rigelbytes.com) or [book an appointment](https://cal.com/faizanali/appointments) with us to learn more about how we can help you achieve your data goals. ### Detailed Data ```json [ { "title": "Python Developer", "description": "Job Description DATAGROUP Polska... Design and implement robust, scalable, and efficient JAVA-based frontend as well as Python components for the ETL process.", "datePosted": "2026-05-08T13:38:46.000Z", "validThrough": "2026-11-04T13:38:46.000Z", "employmentType": "FULL_TIME", "companyName": "DATAGROUP", "companyUrl": "https://de.linkedin.com/company/datagroup-se", "companyLogo": "https://media.licdn.com/dms/image/v2/C4D0BAQFCZT1emBoUsw/company-logo_200_200/company-logo_200_200/0/1630477221838/datagroup_ag_logo?e=2147483647&v=beta&t=kHRk6yObQhtWun4zVyZKfRI6iNwfH5xZ2aTfFnDTOjQ", "country": "DE", "city": "Krakau", "latitude": 51.36391, "longitude": 11.857489, "industry": "IT-Dienstleistungen und IT-Beratung", "skills": "", "monthsOfExperience": "", "educationLevel": "bachelor degree", "jobId": "4412111373", "url": "https://de.linkedin.com/jobs/view/python-developer-at-datagroup-4412111373", "location": "Krakau, Saxony-Anhalt, Germany" }, { "title": "Python Developer", "description": "you'll be working on things like: - Data ingestion and metadata pipelines for whole slide images - De-identification and integrity checking of WSI files...", "datePosted": "2026-06-18T10:46:54.000Z", "validThrough": "2026-07-18T10:46:54.000Z", "employmentType": "CONTRACTOR", "companyName": "Virtusa", "companyUrl": "https://www.linkedin.com/company/virtusa", "companyLogo": "https://media.licdn.com/dms/image/v2/D4D0BAQE1wyZ0gd_P_w/company-logo_200_200/B4DZmf03PuJMAQ-/0/1759323061531/virtusa_logo?e=2147483647&v=beta&t=QwNAnSOpzbZLVsw5_6QEvj37WFpjTZNvVBqZubYUud0", "country": "DE", "city": "München", "latitude": 48.139126, "longitude": 11.580219, "industry": "Softwareentwicklung,Betrieb und Wartung von IT-Systemen", "skills": "", "monthsOfExperience": "", "educationLevel": "bachelor degree", "jobId": "4430444024", "url": "https://de.linkedin.com/jobs/view/python-developer-at-virtusa-4430444024", "location": "Munich, Bavaria, Germany" } ] ``` # Actor input Schema ## `searchQueries` (type: `array`): Keywords or job titles to search for (e.g. 'Python Developer', 'Data Scientist'). Each query produces a separate search. ## `startUrls` (type: `array`): Direct LinkedIn job search URLs. Overrides searchQueries when provided. ## `locations` (type: `array`): Location names to filter jobs (e.g. 'Germany', 'United States', 'London'). Applied to all search queries. ## `timeRange` (type: `string`): Filter jobs by posting date. ## `jobType` (type: `array`): Filter by employment type. Leave empty for all types. ## `experienceLevel` (type: `array`): Filter by required experience level. Leave empty for all levels. ## `remote` (type: `array`): Filter by work arrangement. Leave empty for all types. ## `maxItems` (type: `integer`): Maximum number of job postings to scrape. 0 = unlimited. ## `extractCompanyDetails` (type: `boolean`): When enabled, also scrapes each company's LinkedIn page for full company details (description, followers, specialties, etc.) and appends them to the output. ## `maxConcurrency` (type: `integer`): Maximum number of parallel detail page fetches. Higher values increase speed but may trigger rate limiting. Recommended: 3-10. ## `proxyConfiguration` (type: `object`): Proxy settings for anti-bot protection. ## Actor input object example ```json { "searchQueries": [ "Python Developer" ], "startUrls": [], "locations": [], "timeRange": "any", "jobType": [], "experienceLevel": [], "remote": [], "maxItems": 10, "extractCompanyDetails": false, "maxConcurrency": 5, "proxyConfiguration": { "useApifyProxy": true, "apifyProxyGroups": [ "RESIDENTIAL" ] } } ``` # Actor output Schema ## `dataset` (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 = { "searchQueries": [ "Python Developer" ], "startUrls": [], "locations": [], "maxItems": 10, "extractCompanyDetails": false, "maxConcurrency": 5 }; // Run the Actor and wait for it to finish const run = await client.actor("rigelbytes/linkedin-job-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 = { "searchQueries": ["Python Developer"], "startUrls": [], "locations": [], "maxItems": 10, "extractCompanyDetails": False, "maxConcurrency": 5, } # Run the Actor and wait for it to finish run = client.actor("rigelbytes/linkedin-job-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 '{ "searchQueries": [ "Python Developer" ], "startUrls": [], "locations": [], "maxItems": 10, "extractCompanyDetails": false, "maxConcurrency": 5 }' | apify call rigelbytes/linkedin-job-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=rigelbytes/linkedin-job-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "LinkedIn Job Scraper", "description": "Scrape LinkedIn job postings with advanced filters including location, time range, job type, experience level, and work type.", "version": "0.1", "x-build-id": "cd9aRNa7Z6ee5cxZO" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/rigelbytes~linkedin-job-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-rigelbytes-linkedin-job-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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/rigelbytes~linkedin-job-scraper/runs": { "post": { "operationId": "runs-sync-rigelbytes-linkedin-job-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/rigelbytes~linkedin-job-scraper/run-sync": { "post": { "operationId": "run-sync-rigelbytes-linkedin-job-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "searchQueries": { "title": "Search queries", "type": "array", "description": "Keywords or job titles to search for (e.g. 'Python Developer', 'Data Scientist'). Each query produces a separate search.", "default": [], "items": { "type": "string" } }, "startUrls": { "title": "Start URLs", "type": "array", "description": "Direct LinkedIn job search URLs. Overrides searchQueries when provided.", "default": [], "items": { "type": "object", "required": [ "url" ], "properties": { "url": { "type": "string", "title": "URL of a web page", "format": "uri" } } } }, "locations": { "title": "Locations", "type": "array", "description": "Location names to filter jobs (e.g. 'Germany', 'United States', 'London'). Applied to all search queries.", "default": [], "items": { "type": "string" } }, "timeRange": { "title": "Time range", "enum": [ "any", "past24Hours", "pastWeek", "pastMonth" ], "type": "string", "description": "Filter jobs by posting date.", "default": "any" }, "jobType": { "title": "Job type", "type": "array", "description": "Filter by employment type. Leave empty for all types.", "items": { "type": "string", "enum": [ "fullTime", "partTime", "contract", "temporary", "internship", "volunteer" ], "enumTitles": [ "Full-time", "Part-time", "Contract", "Temporary", "Internship", "Volunteer" ] }, "default": [] }, "experienceLevel": { "title": "Experience level", "type": "array", "description": "Filter by required experience level. Leave empty for all levels.", "items": { "type": "string", "enum": [ "internship", "entryLevel", "associate", "midSenior", "director", "executive" ], "enumTitles": [ "Internship", "Entry level", "Associate", "Mid-senior level", "Director", "Executive" ] }, "default": [] }, "remote": { "title": "Remote / Work type", "type": "array", "description": "Filter by work arrangement. Leave empty for all types.", "items": { "type": "string", "enum": [ "onSite", "remote", "hybrid" ], "enumTitles": [ "On-site", "Remote", "Hybrid" ] }, "default": [] }, "maxItems": { "title": "Max items", "minimum": 0, "type": "integer", "description": "Maximum number of job postings to scrape. 0 = unlimited.", "default": 0 }, "extractCompanyDetails": { "title": "Extract company details", "type": "boolean", "description": "When enabled, also scrapes each company's LinkedIn page for full company details (description, followers, specialties, etc.) and appends them to the output.", "default": false }, "maxConcurrency": { "title": "Max concurrency", "minimum": 1, "maximum": 20, "type": "integer", "description": "Maximum number of parallel detail page fetches. Higher values increase speed but may trigger rate limiting. Recommended: 3-10.", "default": 5 }, "proxyConfiguration": { "title": "Proxy configuration", "type": "object", "description": "Proxy settings for anti-bot protection.", "default": { "useApifyProxy": true, "apifyProxyGroups": [ "RESIDENTIAL" ] } } } }, "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 } } } } } } } } } } ```