NYC + Chicago Restaurant Inspections Scraper

🧾 Restaurant inspections for public-health research

Restaurant operators, food-safety researchers, journalists, and data teams can use this Actor to search New York City and Chicago restaurant inspections. It returns one normalized row per inspection with source-published outcomes, dates, grades or scores, violations, locations, and source details, so you can review public records in one shape. Coverage is limited to the selected jurisdictions and what their sources publish.

• Find public records with Where Can I Find Restaurant Health Inspection Reports for New York City or Chicago.
• Review source-published NYC grades and scores with NYC Restaurant Grades Lookup.
• Check Chicago outcomes, dates, locations, and violations with Chicago Food Inspection Reports.
• Build a report from published counts, summaries, and violation details with Health Code Violations Report.
• Find records by name, outcome, or date with Restaurant Inspections Lookup.
• Review NYC inspection dates, types, and published violations with Health Inspection NYC.

🧭 See normalized inspection records

Each dataset row represents one inspection record found in a selected public source. The row keeps the source-published wording and puts common details into the same shape: establishment identity and location, inspection facts, jurisdiction context, source details, and data quality.

Grades, scores, risk levels, identifiers, coordinates, and violation details appear when a source publishes them. Missing source values stay unavailable. dataQuality.status shows complete or partial, and dataQuality.missingFields names fields the source did not publish. Use jurisdiction.comparabilityNote when you need context about local grade or score scales.

▶️ Run a filtered inspection search

Run flow

1. Choose New York City, Chicago, or both in jurisdictions.
2. Add the same filter set for every selected jurisdiction.
3. Set maxItems, or leave it empty to return all available results until each selected source is exhausted.
4. Open the default dataset to review structured rows and source details.

Source limits

This Actor covers the two jurisdictions named in the input schema. Results are bounded by the records each source publishes. A source can use different outcome, grade, score, or violation fields, so keep the source and jurisdiction context with each row.

⚙️ Input

The required field is jurisdictions. All other fields are optional. The same filters apply to every selected jurisdiction.

Field	Type	What it does
jurisdictions	array of strings	Required. Choose New York City, Chicago, or both.
maxItems	integer	Stops after this many inspection records. Leave it empty to return all available results until each selected source is exhausted.
establishmentNames	array of strings	Keeps records whose establishment name contains at least one value in this list.
outcomes	array of strings	Keeps records with one of these source-published outcomes or statuses. An empty list keeps all outcomes.
startDate	date string	Keeps inspections on or after this date. Use YYYY-MM-DD.
endDate	date string	Keeps inspections on or before this date. Use YYYY-MM-DD.
recentOnly	boolean	Keeps recent or newly observed inspections when turned on.

Default input example

This example uses the default input from a successful run.

{
  "jurisdictions": [
    "New York City"
  ],
  "maxItems": 5
}

Filter notes

Use establishmentNames for one or more partial-name filters. Use outcomes with the wording used by the selected source. Leave optional filters empty or unset when you want the full available date range and all source-published outcomes.

🧾 Output

The default dataset contains one normalized inspection-record shape. Optional values may be absent when a selected source does not publish them.

Each run also returns a dataset URL for the default dataset.

Run output

Field	Type	What it does
dataset	URL string	Links to the normalized inspection records in the default dataset.

Inspection record fields

Field	Type	What it does
establishment	object	Restaurant or food-establishment details.
establishment.name	string	Establishment name.
establishment.type	string	Source-published facility type.
establishment.licenseId	string	Source-published license or permit identifier.
establishment.facilityId	string	Source-published facility identifier.
establishment.address	object	Establishment address when published.
establishment.address.street	string	Street address.
establishment.address.city	string	City in the address.
establishment.address.state	string	State in the address.
establishment.address.postalCode	string	Postal code in the address.
establishment.coordinates	object	Establishment coordinates when published.
establishment.coordinates.latitude	number	Latitude.
establishment.coordinates.longitude	number	Longitude.
inspection	object	Source-published inspection details.
inspection.id	string	Source identifier for the inspection record.
inspection.date	date string	Date when the inspection took place.
inspection.type	string	Source-published inspection type.
inspection.outcome	string	Source-published inspection outcome or status.
inspection.grade	string	Source-published letter grade when available.
inspection.score	number	Source-published numeric health score when available.
inspection.riskLevel	string	Source-published facility or inspection risk level.
inspection.violationCount	integer	Number of violations published for the inspection.
inspection.summary	string	Source-published violation summary text.
inspection.violations	array of objects	Individual violations published for the inspection.
inspection.violations[].code	string	Source-published violation code.
inspection.violations[].description	string	Source-published violation description.
inspection.violations[].isCritical	boolean	Whether the source marks the violation as critical.
jurisdiction	object	City or county public-health jurisdiction context.
jurisdiction.name	string	Jurisdiction name.
jurisdiction.type	string	Source-published jurisdiction type.
jurisdiction.state	string	US state for the jurisdiction when published.
jurisdiction.comparabilityNote	string	Note about comparing this jurisdiction's grades or scores with another scale.
source	object	Public inspection source details.
source.name	string	Name of the public inspection source.
source.sourceUrl	URL	Source URL when published.
source.recordUrl	URL	URL for this inspection record when published.
source.observedAt	date-time string	Time when the source record was observed.
dataQuality	object	Short status for the values in this record.
dataQuality.status	string	complete when useful fields are present, or partial when the source left fields out.
dataQuality.missingFields	array of strings	Normalized field paths the source did not publish.

Example inspection record

This genuine row comes from the current beta build's successful default-input run. It is shown as returned; optional fields that are absent from the source are listed in dataQuality.missingFields.

{
  "establishment": {
    "name": "PRET A MANGER",
    "type": "Soups/Salads/Sandwiches",
    "facilityId": "50146150",
    "address": {
      "street": "62 WEST   45 STREET",
      "city": "Manhattan",
      "state": "NY",
      "postalCode": "10036"
    },
    "coordinates": {
      "latitude": 40.756195280284,
      "longitude": -73.981385740102
    }
  },
  "inspection": {
    "date": "2026-08-04",
    "type": "Cycle Inspection / Initial Inspection",
    "outcome": "Violations were cited in the following area(s).",
    "grade": "A",
    "score": 11,
    "violationCount": 2,
    "summary": "Cold TCS food item held above 41 °F; smoked or processed fish held above 38 °F; intact raw eggs held above 45 °F; or reduced oxygen packaged (ROP) TCS foods held above required temperatures except during active necessary preparation. | Anti-siphonage or back-flow prevention device not provided where required; equipment or floor not properly drained; sewage disposal system in disrepair or not functioning properly. Condensation or liquid waste improperly disposed of.",
    "violations": [
      {
        "code": "02G",
        "description": "Cold TCS food item held above 41 °F; smoked or processed fish held above 38 °F; intact raw eggs held above 45 °F; or reduced oxygen packaged (ROP) TCS foods held above required temperatures except during active necessary preparation.",
        "isCritical": true
      },
      {
        "code": "10B",
        "description": "Anti-siphonage or back-flow prevention device not provided where required; equipment or floor not properly drained; sewage disposal system in disrepair or not functioning properly. Condensation or liquid waste improperly disposed of.",
        "isCritical": false
      }
    ]
  },
  "jurisdiction": {
    "name": "New York City",
    "type": "city",
    "state": "NY",
    "comparabilityNote": "New York City's DOHMH grades and scores use the NYC inspection scale; compare them directly only within this jurisdiction."
  },
  "source": {
    "name": "NYC DOHMH Restaurant Inspection Results",
    "sourceUrl": "https://data.cityofnewyork.us/resource/43nn-pn8j.json",
    "observedAt": "2026-08-05T23:44:49.853Z"
  },
  "dataQuality": {
    "status": "partial",
    "missingFields": [
      "establishment.licenseId",
      "inspection.id",
      "inspection.riskLevel",
      "source.recordUrl"
    ]
  }
}

💳 Pricing

Per-record pricing

You pay for each inspection record saved to the dataset. The current event price is shown on the Store page for your Apify pricing tier. A run that saves no inspection records does not trigger this per-record event, and filtered-out records are not saved.

🔌 Integrations

Dataset and API

Open the default dataset from the run page to inspect the normalized rows. The dataset and its API provide structured access to the fields in the Output section.

Video walkthrough

❓ FAQ

Which jurisdictions can I select?

The input supports New York City, Chicago, or both. The same filter set applies to every selected jurisdiction.

Does a row include health code violations?

When the source publishes them, a row includes a violation count, summary, and individual violation codes and descriptions. A source can also mark an individual violation as critical. These fields can be unavailable in a source row.

What if a source does not publish a field?

The value stays unavailable instead of being invented. dataQuality.status can be partial, and dataQuality.missingFields lists the missing normalized field paths.

Are NYC grades and Chicago outcomes directly comparable?

No single scale should be assumed. Keep each source's outcome, grade, or score with its jurisdiction, and read jurisdiction.comparabilityNote before making a comparison.

Can I use this for restaurant health scores near me?

Only within the supported jurisdictions. Choose New York City or Chicago, then filter by establishment name or another available input; the Actor does not infer your location.

What does an empty maxItems value do?

It returns all available results until each selected source is exhausted. Use a number when you want to stop after a set number of saved records.

Can I search Hartford or another city?

Not with this Actor. Its public input supports New York City and Chicago, so choose a source that covers the city you need.

Does this Actor make a safety or compliance decision?

No. It returns source-published inspection data and context. Review the source record and make your own research, safety, or business decision.

📝 Changelog

0.1: Richer inspection details and easier filtering

• Added richer inspection details, source record links, and clearer ways to discover and filter NYC and Chicago records.

0.0: Initial release

• Initial release.

🆘 Support

For issues, questions, or feature requests, file a ticket and I'll fix or implement it in less than 24h 🫡

🔗 Related Actors

• US Restaurant Health Inspection Scores — Compare normalized NYC and Chicago inspection rows with grades, scores, and violation flags.
• US Restaurant Inspections Scraper: Food Establishments — Export broader US inspection fields when you need more jurisdictions.
• Restaurant Inspection Data Scraper - 7 US Cities — Review normalized inspection data across seven cities.
• Chicago Restaurant Inspections — Focus on Chicago outcomes, facility types, risk levels, addresses, and dates.
• NYC Restaurant Inspection Results Scraper — Review NYC grades, violations, scores, and location fields.

Made with ❤️ by Maxime Dupré