US Restaurant Inspections Scraper: Food Establishments avatar

US Restaurant Inspections Scraper: Food Establishments

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from $10.20 / 1,000 results

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US Restaurant Inspections Scraper: Food Establishments

US Restaurant Inspections Scraper: Food Establishments

Scrape US restaurant and food establishment health inspections: business name, license id, facility type, risk level, full address, inspection date and type, pass-fail result, violations summary and geo coordinates. Filter by name, city, result and date range. Export to JSON, CSV or Excel.

Pricing

from $10.20 / 1,000 results

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Scrapers Lat

Scrapers Lat

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1

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an hour ago

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Pull public US restaurant and food establishment health-inspection records as clean, structured data. Get the business name, license id, facility type, risk level, full address, inspection date and type, pass-fail result, a violations summary and map coordinates, ready for lead lists, compliance research or market analysis.

📥 Input · 📤 Output · 💰 Pricing · ▶️ Examples

Actor

Who is it for

  • Sales and lead-gen teams building lists of active food businesses with addresses
  • Food-safety, compliance and insurance researchers tracking pass-fail history
  • Journalists and analysts studying inspection trends across a city
  • Real-estate and hospitality teams evaluating locations

How to use it

  1. Add one or more establishment names to Establishment Names (or leave empty for the most recent inspections).
  2. Optionally filter by Cities, Inspection Results (e.g. Fail), and a From / To Date range.
  3. Set Max Inspections To Scrape and run.
  4. Export the results to JSON, CSV or Excel, or pull them through the API.

FAQ

Do I need an account or API key? No. Just set your filters and run.

Is the data live? Yes, records are fetched fresh on every run.

Can I search many names at once? Yes. Add multiple names and each one runs its own search; every row is tagged with the term that produced it.

Built by scrapers.lat. Not affiliated with, endorsed by, or sponsored by any inspecting authority or the establishments listed. Data comes from public records and is provided as-is.