Dallas Restaurant Inspections Scraper

Collect restaurant and food establishment inspection records from Dallas, Texas. Retrieve establishment names, inspection types, dates, scores, addresses, and violation details. Export structured results in JSON, CSV, Excel, or other supported Apify dataset formats.

What It Does

This actor collects restaurant and food establishment inspection records from the City of Dallas. It supports full dataset collection, keyword searches, custom filters, and dataset metadata retrieval.

Use the results for restaurant research, food safety analysis, compliance research, and business intelligence.

Available Modes

• All Rows: Collect inspection records across the dataset.
• Full-Text Search: Find records matching a search term across searchable text fields.
• SoQL Filter: Apply custom conditions to narrow results, such as filtering by inspection date or establishment.
• Dataset Metadata: Retrieve available column names, data types, and descriptions.

Input Example

Collect all rows

{
  "mode": "all_rows",
  "maxItems": 50,
  "orderBy": ":id",
  "requestDelayMs": 500
}

Search inspection records

{
  "mode": "search",
  "searchText": "inc",
  "maxItems": 25,
  "requestDelayMs": 500
}

Filter inspection records

{
  "mode": "filter",
  "where": ":updated_at>'2020-01-01'",
  "maxItems": 25,
  "requestDelayMs": 500
}

Output Example

{
  "program_identifier": "FRESHII",
  "inspection_type": "Routine",
  "insp_date": "2018-10-31T00:00:00.000",
  "score": "96",
  "street_number": "2414",
  "street_name": "VICTORY PARK",
  "street_type": "LN",
  "site_address": "2414 VICTORY PARK LN",
  "zip": "75219",
  "violation1_description": "*24 Food Label-list of ingredients in descending..",
  "violation1_points": "2",
  "month": "Oct 2018",
  "inspection_year": "FY2019",
  "scraped_at": "2026-10-26T00:00:00+00:00"
}

Output Fields

Field	Description
program_identifier	Restaurant or establishment identifier
inspection_type	Type of inspection
insp_date	Inspection date
score	Inspection score
street_number	Street number
street_name	Street name
street_type	Street type or suffix
site_address	Complete establishment address
zip	ZIP code
violation1_description	Description of the first recorded violation
violation1_points	Points assigned to the first violation
month	Inspection month
inspection_year	Fiscal inspection year
scraped_at	Collection timestamp

Additional source fields are preserved in the output when available. The source field type is stored as inspection_type to maintain a valid dataset schema.

Use Cases

• Food Safety Research: Review restaurant inspection scores and reported violations.
• Compliance Analysis: Examine critical inspection findings and violation patterns.
• Restaurant Research: Build structured lists of food establishments in Dallas.
• Public Health Analysis: Study inspection trends across different periods.
• Business Intelligence: Organize establishment names, addresses, and inspection results for further analysis.

FAQ

What information does this actor collect?

It collects establishment identifiers, inspection types, inspection dates, scores, addresses, violation descriptions, and related inspection details.

Can I search for a specific restaurant?

Yes. Select Full-Text Search mode and provide a keyword through searchText.

Can I filter records by inspection date or establishment?

Yes. Select SoQL Filter mode and provide a suitable condition through where.

Does this dataset contain current restaurant inspections?

The supplied dataset covers October 2016 through January 2024 and may no longer receive new updates. Its records should be treated as historical inspection information rather than a live view of current restaurant compliance.

Can I export the results to Excel or CSV?

Yes. Apify supports JSON, CSV, Excel, and other dataset export formats.

Can I schedule recurring collections?

Yes. Use Apify Schedules to run the actor automatically at your preferred intervals. Keep in mind that scheduling does not guarantee new records when the underlying dataset is no longer updated.

Trademark Notice and Disclaimer

City of Dallas and its related names, logos, and trademarks belong to their respective owners. This actor is an independent data collection tool and is not affiliated with, sponsored by, or endorsed by the City of Dallas or its departments.

Is Web Scraping Legal?

This actor collects publicly accessible restaurant inspection information without bypassing login screens, paywalls, or technical security measures. How collected information can be used depends on applicable laws and the source website's policies.

• Personal Data: Inspection records may contain business or individual names and other identifying details. Handle personal information responsibly and follow applicable privacy laws, including GDPR or CCPA where relevant.
• Copyright and Licensing: Publicly accessible government records may still be subject to applicable dataset licensing and attribution requirements. Review the source's terms before reusing or redistributing collected information.
• Platform Terms and Rate Limits: Respect the source platform's policies, attribution requirements, and reasonable request intervals.
• Disclaimer: This information is general guidance, not legal advice. Consult a qualified legal professional if you have questions about your intended use.

Is web scraping legal?