Chicago Restaurant Inspections Scraper | CDPH Data
Pricing
from $19.00 / 1,000 results
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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0.0
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Developer
ParseForge
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2
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1
Monthly active users
7 days ago
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๐ญ Chicago Food Inspection Scraper
๐ 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.
| ๐ฏ Target Audience | ๐ก Primary Use Cases |
|---|---|
| Journalists and civic-tech researchers | Public-records reporting, accountability dashboards |
| Real-estate and insurance analysts | Neighborhood risk modeling, due diligence |
| Marketers and lead-gen teams | Business prospecting, market sizing |
| Data engineers and BI teams | ETL pipelines, automated alerting |
| Academics and urban planners | Policy research, public-health analysis |
๐ 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
๐ก 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.
๐ 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.
๐ How to use
- Create a free Apify account (free credits included)
- Open the actor page
- Set
maxItemsand any filters you need - Click Run
- Download the dataset as CSV, Excel, JSON, or XML
๐ Recommended Actors
| Actor | What it does |
|---|---|
| NYC Restaurant Inspections | NYC DOHMH grades and violations |
| Chicago Food Inspections | Chicago Department of Public Health results |
| LA Business Licenses | LA City active business registry |
| NYC DCWP Business Licenses | Every NYC consumer-protection licensed business |
| Chicago 311 Service Requests | All Chicago non-emergency complaints |
๐ก Pro Tip: browse the complete ParseForge collection.
โ ๏ธ Disclaimer: independent tool, not affiliated with Chicago Food Inspections or its publishing agency. Only publicly available data is collected.
๐ 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.