Extract data from

Monster.com search results

Scrape Monster.com job search results into a clean table with job title, company, location, posted time, listing URL, and company logo. Perfect for recruiters, staffing agencies, and talent intelligence teams to monitor openings, build lead lists, and analyze hiring trends—then enrich and export to Google Sheets, Airtable, or Notion.

Website to scrape
Monster.com search results
Export
CSV
Google Sheets
Airtable
Notion
Data to extract
Wait for container load, Position, Job URL, Company, Location, Posted ago, Company image
Premium
More about this Scraper Template

Built for recruiting and talent ops teams, this Monster.com search results scraper extracts structured data from any results page—job title, company, location, posted ago, job URL, and company image. It’s ideal for agency recruiters sourcing new clients, in-house TA teams tracking market demand, and talent intelligence analysts benchmarking competitor hiring across the US and other major markets where Monster is active.

Turn raw listings into action: filter Monster by role and location, then export to your systems to de-duplicate, enrich companies with domains and LinkedIn pages, compute posting dates from "posted ago," and trigger alerts or outreach. Use the Job URL to chain additional automations to fetch full descriptions, summarize requirements with AI, or route leads to Sheets, Airtable, Notion, Slack, or your ATS/CRM. The template handles dynamic loading, giving you reliable, ready-to-analyze data from any search query.

This template is maintained and updated by Bardeen to keep up with Monster’s UX changes, ensuring high-quality, accurate scraping for your workflows.

What to do after you scraped data from a website

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.

Explore more Monster.com Scraper

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Co-Founder & CEO at deel.
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