Chicago Restaurant Inspections Scraper | CDPH Data avatar

Chicago Restaurant Inspections Scraper | CDPH Data

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from $19.00 / 1,000 results

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Chicago Restaurant Inspections Scraper | CDPH Data

Chicago Restaurant Inspections Scraper | CDPH Data

Pull Chicago Department of Public Health restaurant inspection records with name, address, facility type, risk, results, and violations. Filter by ward or result. Ideal for food safety research, restaurant prospecting, and city compliance monitoring.

Pricing

from $19.00 / 1,000 results

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ParseForge

ParseForge

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1

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7 days ago

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๐ŸŒญ Chicago Food Inspection Scraper

๐Ÿš€ Pull Chicago Department of Public Health food inspection results with pass/fail outcomes, risk levels, and violation details.

The Chicago Food Inspection Scraper pulls live results from the City of Chicago Department of Public Health open data portal. Each record carries the establishment name, license number, address, risk category, inspection type, pass/fail outcome, and the full text of violations cited.

๐ŸŽฏ Target Audience๐Ÿ’ก Primary Use Cases
Journalists and civic-tech researchersPublic-records reporting, accountability dashboards
Real-estate and insurance analystsNeighborhood risk modeling, due diligence
Marketers and lead-gen teamsBusiness prospecting, market sizing
Data engineers and BI teamsETL pipelines, automated alerting
Academics and urban plannersPolicy research, public-health analysis

๐Ÿ“‹ What the Chicago Food Inspections Scraper does

  • Pulls live records from the official open-data API in batches of up to 1,000 rows per request
  • Lets you filter by the source's own native columns before download (no post-processing required)
  • Returns one normalized JSON row per record with stable, predictable field names
  • Pushes results to a clean Apify dataset that exports to CSV, Excel, JSON, or XML
  • Auto-paginates so you can pull thousands of records in one run

๐Ÿ’ก Why it matters: government open-data portals throttle, rate-limit, and break under heavy load. This actor wraps the official endpoint, handles pagination, normalizes nulls, and gives you a stable schema even when the source UI rearranges its dashboard.

๐Ÿ“Š Data fields

Each record includes: address, aka_name, city, dba_name, facility_type, imageUrl, inspection_date, inspection_id, inspection_type, latitude, license_, longitude, results, risk, scrapedAt, sourceUrl, state, title, url, violations, zip. These field names come straight from the actor's dataset schema, so what you see here is what lands in your dataset.

๐Ÿš€ How to use

  1. Create a free Apify account (free credits included)
  2. Open the actor page
  3. Set maxItems and any filters you need
  4. Click Run
  5. Download the dataset as CSV, Excel, JSON, or XML
ActorWhat it does
NYC Restaurant InspectionsNYC DOHMH grades and violations
Chicago Food InspectionsChicago Department of Public Health results
LA Business LicensesLA City active business registry
NYC DCWP Business LicensesEvery NYC consumer-protection licensed business
Chicago 311 Service RequestsAll Chicago non-emergency complaints

๐Ÿ’ก Pro Tip: browse the complete ParseForge collection.

โš ๏ธ Disclaimer: independent tool, not affiliated with Chicago Food Inspections or its publishing agency. Only publicly available data is collected.

๐Ÿ†˜ Need Help?

If you hit a bug, have questions about setup, or need a scraper we haven't built yet, open our contact form or write to parseforge@protonmail.com. We also take on paid custom data projects.

For faster answers, join our Discord. It's the best place to get support and suggest new actors.