🚀 Indeed Jobs Scraper The most efficient way to extract job listings directly from Indeed Jobs search results. View on Apify Store ## 📖 Overview The Indeed Jobs Scraper is a powerful data extraction tool designed to aggregate job listings from the Indeed Jobs search engine. Whether you're building a job board, analyzing labor market trends, or automating lead generation for recruitment, this actor delivers structured, clean data in real-time. ## ✨ Key Features - 🌍 Multi-Source Aggregation – Access listings from thousands of job boards via a single Indeed search query. - 🎯 Laser-Focused Filtering – Filter by specific companies, exact locations, job types (Remote/Contract), and posting dates. - ⚡ High Performance – Optimized for speed and low-compute usage to save costs. - 📅 Fresh Data – Scrape "Posted 3 days ago" or "Today" to get the newest opportunities first. - 🔌 API Ready – Seamlessly integrates with Python, Node.js, Zapier, and Make.com. ## 🛠 Input Parameters The actor accepts the following input parameters in JSON format. | Parameter | Type | Required | Description | Default | Valid Values | |-----------|------|----------|-------------|---------|--------------| | countryName | String | No | The country context for the Indeed Search domain | "all" | "usa", "uk", "india", etc. | | includeKeyword | String | Yes | The main search terms or specific skills | - | Any search string (e.g., "React", "Remote", "Marketing Manager") | | locationName | String | No | Specific city, state, or region | - | Any location string (e.g., "San Francisco, CA") | | companyName | String | No | Filter listings to a specific employer | - | Any company name (e.g., "Indeed", "Microsoft") | | jobType | String | No | Filters by employment type | - | FULLTIME, PARTTIME, CONTRACTOR, INTERN | | datePosted | String | No | How recent the jobs should be | "month" | today, 3days, week, month | | pagesToFetch | Integer | No | Number of pagination pages to scrape | 1 | Positive integers | ### 💻 Example Input Configuration { "countryName": "usa", "locationName": "new york", "includeKeyword": "software engineer, python", "companyName": "indeed", "jobType": "FULLTIME", "datePosted": "week", "pagesToFetch": 3 } ## 📊 Output Data The results are stored in the default Apify dataset. You can download them in JSON, CSV, Excel, or XML formats. ### Sample JSON Output [ { "job_title": "Senior Frontend Developer", "company_name": "Tech Corp Inc.", "location": "New York, NY (Remote)", "posted_via": "LinkedIn", "salary": "$120,000 - $150,000 a year", "date": "2025-03-25", "job_type": "Full-time", "URL": "https://www.indeed.com/search?..." } ] ### Field Dictionary - job_title: The official designation of the role. - company_name: The organization hiring. - location: Geographical location or "Remote" status. - posted_via: The original platform where Indeed found the job (e.g., Monster, Greenhouse, LinkedIn). - salary: Pay range (if provided by the employer). - URL: Direct link to the job application or listing. ## How to Use 1. Deploy on Apify – Run the actor directly from the Apify platform. 2. Schedule & Automate – Set up periodic runs to keep your job database updated. 3. Export Data – Integrate with your CRM, website, or analytics platform. ## Why Use This Actor? - No Coding Required – Easy-to-use with minimal setup. - Saves Time – Automates job data collection. - Customizable – Supports tailored scraping configurations. ## 👨‍💻 Programmatic Usage You can run this actor via the Apify API using the official client libraries. ### Python from apify_client import ApifyClient # Initialize the client with your API token client = ApifyClient("YOUR_APIFY_TOKEN") # Prepare the Actor input run_input = { "countryName": "usa", "includeKeyword": "Data Scientist", "datePosted": "3days", "pagesToFetch": 1, } # Run the Actor and wait for it to finish run = client.actor("orgupdate/indeed-jobs-scraper").call(run_input=run_input) # Fetch and print Actor results from the run's dataset (if there are any) for item in client.dataset(run["defaultDatasetId"]).iterate_items(): print(item) ### Node.js import { ApifyClient } from 'apify-client'; const client = new ApifyClient({ token: 'YOUR_APIFY_TOKEN', }); const input = { countryName: 'uk', includeKeyword: 'DevOps', jobType: 'CONTRACTOR', }; (async () => { // Run the Actor and wait for it to finish const run = await client.actor('orgupdate/indeed-jobs-scraper').call(input); // Fetch and print Actor results from the run's dataset (if there are any) const { items } = await client.dataset(run.defaultDatasetId).listItems(); items.forEach((item) => { console.dir(item); }); })(); ## 🔗 Integrations Don't just scrape data—act on it. You can integrate this actor with: - Zapier / Make.com: Trigger an email or Slack notification whenever a new job matching your criteria is posted. - Indeed Sheets: Automatically save new job listings into a spreadsheet for analysis. - Slack/Discord: Create a bot that alerts your community about new job openings. ## 💡 Use Cases - Job Aggregators & Boards: Populate your niche job board with fresh content daily without manual entry. - HR & Recruitment: Analyze competitor hiring strategies by tracking their open positions. - Lead Generation: Find companies currently hiring for specific roles to pitch your B2B services. - Salary Research: Aggregate salary data across different regions and titles to create market reports. ## 📞 Support & Feedback If you encounter any issues or have feature requests, please contact us through the Apify Console or check the actor page. Happy Scraping! 🚀