What should I use to extract real estate, travel, or job listing data?

For real estate, travel, or job listing data, the best tool depends on how the data is exposed and your volume/scale. In practice, these are the most useful options:

1. Official APIs first

Best when available.

• Real estate: MLS/IDX feeds, Zillow alternatives, brokerage APIs
• Travel: Google Travel partners, Amadeus, Skyscanner, Expedia, Booking APIs
• Jobs: LinkedIn doesn’t offer broad public scraping access; use company career APIs, Greenhouse, Lever, Workday, Indeed-adjacent APIs where permitted

Use when: you need reliability, structured data, and lower maintenance.

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2. Web scraping

Useful when there’s no API or the API is limited.

• Python tools:
  • Scrapy for large-scale crawling
  • BeautifulSoup for simple pages
  • Playwright or Selenium for JavaScript-heavy sites

Use when: the data is public and you have permission/rights to access it.

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3. No-code / low-code extraction tools

Good for quick workflows.

• Apify
• Octoparse
• Browse AI
• ParseHub

Use when: you want faster setup and less coding.

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4. Data providers / aggregators

Often the easiest for these verticals.

• Real estate: ATTOM, CoreLogic, Estated, Regrid
• Travel: Amadeus, OAG, Duffel
• Jobs: Adzuna, Jooble, Talroo, Greenhouse/Lever data via ATS integrations

Use when: you need normalized data at scale and don’t want to maintain scrapers.

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My practical recommendation

• If you need long-term production use: start with official APIs or licensed data providers
• If you need custom extraction from public pages: use Playwright + Scrapy
• If you need fast prototyping: use Apify or Octoparse

If you want, I can recommend the best specific tool stack for one of those three categories based on your budget and whether you want API, scraping, or no-code.