What this robot does
Indeed is the most-visited job site in the United States, with tens of millions of job listings drawn from employer career pages, staffing agencies, and direct postings. Its US search results pages are dense with labor market signal: job titles, hiring company names, cities and states, salary estimates (which Indeed generates from employer data and market signals even when employers don't post pay), brief job description snippets, and posting recency. The sheer breadth of Indeed's coverage - spanning healthcare, finance, retail, technology, manufacturing, education, and more - makes it uniquely valuable for US labor market analysis.
HR teams use it to benchmark compensation. Recruiting firms use it to monitor client industries. Economic researchers use it as a proxy for employment demand.
Policy analysts track job posting volumes as a leading employment indicator. Individually browsing pages of results is fine for a single job search, but building a structured dataset from dozens of searches requires automation. This robot extracts Indeed US job listings from search results pages.
What Indeed US job listings extraction delivers:
- ✓ Broad US market coverage: Indeed aggregates listings from more employer sources than any other US job board. Extracting from Indeed gives you the most comprehensive view of active hiring in any US sector or geography.
- ✓ Salary estimation data: Indeed's salary estimates appear even when employers don't list pay. Extract to capture these estimates across hundreds of listings for compensation benchmarking that goes beyond published data.
- ✓ Hiring velocity tracking: Posting dates reveal how quickly roles are being filled. Extract the same search weekly to track posting volume trends - a measure of whether hiring in your industry is accelerating or cooling.
- ✓ Multi-industry workforce analysis: Because Indeed spans every sector, you can run parallel extractions for multiple industries - healthcare, logistics, retail - and compare hiring dynamics across the US economy.
| Job Title | Company | Location | Salary Estimate | Posted |
|---|
| Registered Nurse | HCA Healthcare | Nashville, TN | $68,000–$95,000/yr | 3 days ago |
| Warehouse Associate | Amazon | Dallas, TX | $17–$22/hr | Today |
| Software Engineer II | Capital One | McLean, VA | $110,000–$145,000/yr | 1 day ago |
| High School Teacher | Chicago Public Schools | Chicago, IL | $55,000–$78,000/yr | 5 days ago |
| CDL Truck Driver | Werner Enterprises | Omaha, NE | $75,000–$90,000/yr | 2 days ago |
How to scrape Indeed US job listings in 4 steps
No Indeed account required. The robot reads public Indeed US search pages and extracts structured listing data.
- A free Browse AI account (no credit card required).
- An Indeed US job search results URL (indeed.com/jobs?q=...) with your search parameters set.
1
Sign up for free
Create your Browse AI account in under a minute. No credit card required. You will find this prebuilt robot in the robot library ready to use.
2
Search Indeed US and copy your search results URL
Go to indeed.com and enter your search terms - a job title, keyword, or company name - plus a location or 'remote'. Apply filters for job type, salary, experience level, or date posted as needed. Copy the full URL from your browser once you've filtered to the right results.
3
Run the robot
Click run. The robot processes the Indeed US search results page and extracts job titles, hiring company names, location data, salary estimates, description snippets, and posting dates for each listing displayed.
4
Connect integrations or export your data
Your Indeed job data is structured and ready to analyze. Export to Google Sheets for compensation benchmarking, feed into a CRM to identify actively hiring companies for sales outreach, or load into an analysis tool to track posting volumes and salary trends over time.
What can you do with Indeed US job listing data?
Indeed job data supports HR strategy, economic research, recruiting, and competitive workforce intelligence:
- US salary benchmarking: Extract hundreds of postings for a specific role across geographies. Combine employer-posted salaries and Indeed's estimates to build data-driven compensation benchmarks for any US job title.
- Healthcare hiring demand tracking: Monitor nursing, physician, and allied health postings on Indeed over time. Identify which hospital systems and health networks are growing fastest and in which markets.
- Retail and logistics workforce analysis: Track hourly wage postings in retail, warehousing, and delivery. Extract Indeed listings to monitor the minimum and competitive hourly rates employers are offering in your region.
- Technology talent demand: Extract software engineering and data science listings across cities. Compare hiring volumes in San Francisco, Austin, New York, and remote to understand where tech talent demand is concentrating.
- Employer brand research: Extract all Indeed listings for a competitor. Understand their open roles, growth trajectory, and the job benefits language they use to attract candidates - and counter with a sharper value proposition.
- Economic indicators research: Job posting volume on Indeed is a leading employment indicator. Extract posting counts for specific sectors across time periods to build proprietary labor demand indices for economic analysis.
🏥
Healthcare HR teams
Track nursing and clinical hiring demand. Extract Indeed postings to benchmark compensation and monitor competitor healthcare hiring activity in your markets.
📊
Compensation and benefits analysts
Build salary benchmarks from live Indeed postings. Extract listings across roles and geographies to inform pay band decisions with real advertised data.
🔍
Recruiting firms
Monitor client industries for active hiring. Extract Indeed listings to identify companies growing their workforces and target them with staffing proposals.
📐
Economic researchers
Use Indeed posting volumes as employment indicators. Extract job listings over time to build proprietary demand indices for specific sectors of the US economy.
Each Indeed US search result listing provides:
| Field | What it contains |
|---|
| Job Title | Title of the open position. |
| Company Name | The hiring employer. |
| Location | City, state, or remote designation. |
| Salary Estimate | Employer-listed or Indeed-estimated pay range. |
| Job Snippet | Brief excerpt from the job description. |
| Date Posted | Posting recency (today, days ago, etc.). |
| Job URL | Direct link to the full Indeed listing. |
US workforce data for compensation benchmarking, hiring trend tracking, and labor market research.
Frequently asked questions
What is the difference between employer-posted and Indeed-estimated salary?
Employers can post their own salary. If they don't, Indeed generates an estimate based on similar roles and market data. The robot extracts whichever salary figure is displayed - both are useful for benchmarking.
Can I filter Indeed results by industry or job type before scraping?
Yes. Use Indeed's built-in filters for job type (full-time, contract, part-time), experience level, salary, and date posted before copying the URL. The robot extracts whatever that filtered search returns.
How often does Indeed update its job listings?
Indeed receives new job postings continuously throughout the day. New postings appear within hours. Run recurring extractions to capture fresh listings and track posting velocity over time.
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