Built for recruiters, talent sourcers, and staffing agencies, this Indeed job post scraper extracts structured data from any indeed.com/viewjob page—job title, company, location, salary (when available), posting date, job type, full description, benefits, company rating, and apply link—so you can benchmark roles, track competitors’ hiring, and export clean datasets to Google Sheets, Airtable, Notion, your ATS, or CRM.
Who it’s for: Talent acquisition teams, staffing agencies, and HR ops working primarily in the U.S. and global markets who need reliable, structured Indeed job posting data. This template captures core fields from individual job pages, including job title, company, location, salary/compensation (if listed), posting date, job type, full description, benefits, company rating, job ID, and the apply link—ready for analysis and sharing.
How you’ll use it: Build research-ready datasets to benchmark compensation, monitor competitors’ roles, and prioritize requisitions. With Bardeen, you can enrich each record with company size and industry, extract skills and seniority using AI, summarize long descriptions, normalize titles, compute salary bands, deduplicate records, and trigger automations. Send results to Google Sheets, Airtable, Notion, or pipe directly into your ATS/CRM to streamline sourcing workflows, market mapping, and hiring analytics.
Maintained by Bardeen: This is a high-quality scraper template that we keep updated to reflect Indeed’s changes, ensuring accurate fields and dependable performance over time.
With Bardeen, you can do much more than just web scraping. After extracting data from any website, use Bardeen’s powerful automation tools to validate and enrich your data, run additional scrapers on linked pages, or leverage AI to qualify leads and generate content automatically. Once your data is ready, you can easily export it to CSV, Google Sheets, Airtable, or Notion for further analysis and reporting.
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