🍽️ Seattle Restaurant Inspections Scraper

🚀 Export Seattle / King County food-establishment inspection records: violations, scores, risk category, addresses and inspection results in seconds.

🕒 Last updated: 2026-05-25 · 📊 25 fields per record · 🍽️ King County, WA · Seattle and all King County cities

The Seattle Restaurant Inspections Scraper extracts records from the King County Public Health Food Establishment Inspection dataset (Seattle + surrounding cities). Each record includes restaurant name, program identifier, inspection date, description, address, city, ZIP, phone, lat/lon, inspection type, score, result, closure flag, violation type/description/points, business ID and grade - exported as CSV, Excel, JSON, or XML.

The scraper supports filtering by city and inspection result. Covers every food establishment inspected by King County Public Health (Seattle, Bellevue, Redmond, Kirkland, etc.).

🎯 Target Audience	💡 Primary Use Cases
Food-safety researchers, journalists, insurance analysts, restaurant scouts, public-health officials	Restaurant safety due diligence, journalism, insurance underwriting, supplier vetting

📋 What the Seattle Restaurant Inspections Scraper does

• Connects to the official King County (WA) Food Establishment Inspections dataset.
• Paginates through every record matching your filters.
• Normalises each record into a flat, analysis-ready row.
• Exports as CSV, Excel, JSON or XML - directly from your Apify dataset.
• Refreshes on demand or on schedule (hourly, daily, weekly).

💡 Why it matters: stop copy-pasting from a portal that paginates 100 records at a time. One click, full dataset, your format.

🎬 Full Demo

🚧 Coming soon

⚙️ Input

Field	Type	Description
maxItems	integer	Max records. Free: 10. Paid: up to 1,000,000.
city	string	City filter (e.g. SEATTLE, BELLEVUE, REDMOND).
inspectionResult	string	Inspection result filter (e.g. Satisfactory, Unsatisfactory).

Example 1 - Seattle restaurants

{
  "maxItems": 500,
  "city": "SEATTLE"
}

Example 2 - Failed inspections

{
  "maxItems": 200,
  "inspectionResult": "Unsatisfactory"
}

⚠️ Good to Know: free users are capped at 10 records per run as a preview. Upgrade to any paid plan to unlock full exports (up to 1,000,000 records). Data is collected directly from the official public source - no login or API key required.

📊 Output

Field	Type	Description
🖼 imageUrl	string	Always null
📌 title	string	Restaurant name
🔗 url	string	Source dataset URL
🆔 id	string	Program identifier
🏪 name	string	Restaurant name
🪪 program_identifier	string	Program identifier
📅 inspection_date	string	Inspection date
📝 description	string	Establishment description / risk category
📍 address	string	Address
🏙 city	string	City
📮 zip_code	string	ZIP code
☎️ phone	string	Phone
📍 latitude	number	Latitude
📍 longitude	number	Longitude
🔍 inspection_type	string	Inspection type
📊 inspection_score	integer	Inspection score
📊 inspection_result	string	Result (Satisfactory/Unsatisfactory/etc.)
🔒 inspection_closed_business	string	Whether closed at inspection
⚠️ violation_type	string	Violation type
📋 violation_description	string	Violation description
🔢 violation_points	integer	Violation points
🆔 business_id	string	Business ID
🅰️ grade	string	Grade
🕒 scrapedAt	string	ISO scrape timestamp
❌ error	string	Populated on failure

Sample record (real run output):

{
  "title": "TRU BISTRO",
  "url": "https://data.kingcounty.gov/Health-Wellness/Food-Establishment-Inspection-Data/f29f-zza5",
  "id": "PR0088411",
  "name": "TRU BISTRO",
  "program_identifier": "Lean Coffee LLC",
  "description": "Seating 51-150 - Risk Category III",
  "address": "610 TERRY AVE",
  "city": "SEATTLE",
  "zip_code": "98104",
  "phone": "(206) 218-86633",
  "longitude": -122.32367022,
  "latitude": 47.6063996,
  "violation_points": 0,
  "business_id": "PR0088411",
  "scrapedAt": "2026-05-25T22:26:24.523Z",
  "error": null
}

✨ Why choose this Actor

✅	What you get
🎯	Direct extraction from the official King County (WA) Food Establishment Inspections portal
📊	25 normalised fields per record
⚡	Run on-demand or on schedule
📁	CSV, Excel, JSON, XML - your choice
🔌	Integrates with Make, Zapier, Slack, Airbyte, Google Drive
🆓	Free preview (10 records) - no credit card
🌍	Public data only - no login or API key required
🚀	Maintained and updated as the source schema evolves

📈 How it compares to alternatives

Approach	Speed	Maintenance	Cost	Export formats
Copy-paste from portal	🐌 Hours	🛠 High	Free	Limited
Build your own scraper	🐢 Days	🛠 Ongoing	Dev time	DIY
Generic SaaS scraper	🚶 Slow	🛠 Manual config	$$$	Generic
This Actor	🚀 Minutes	✅ Maintained	💸 From free	CSV / Excel / JSON / XML

🚀 How to use

1. Create a free Apify account with $5 credit - no credit card required.
2. Open the Seattle Restaurant Inspections Scraper page in Apify Store and click Try for free.
3. Configure the input (see Input section above).
4. Click Start - the run will produce a downloadable dataset.
5. Export as CSV, Excel, JSON or XML, or stream to your destination via integrations.

💼 Business use cases

Lead generation & sales

🎯	Example
📞	Build target lists filtered by category, region, or status
🧠	Enrich CRM records with up-to-date public attributes

Compliance & risk

🎯	Example
🔍	Continuous monitoring of changes in official records
📋	Audit-trail-friendly exports for compliance teams

Market research

🎯	Example
📊	Track market dynamics over time
🌍	Benchmark across regions, categories, or operators

Operations & automation

🎯	Example
🔄	Schedule recurring pulls and pipe straight into your BI tool
🚨	Alert on threshold or status changes

🔌 Automating Seattle Restaurant Inspections Scraper

• Make - receive new records into a scenario and route them anywhere.
• Zapier - trigger on new dataset rows and push to 6,000+ apps.
• Slack - post fresh records into a channel for the team.
• Airbyte - sync the dataset into your warehouse (BigQuery, Snowflake, Redshift, Postgres).
• GitHub - store snapshots in a repo for diffing over time.
• Google Drive / Sheets - auto-append rows to a spreadsheet.

🌟 Beyond business use cases

Research

• Academic studies on King County (WA) Food Establishment Inspections trends, distributions and outliers.

Personal projects

• Hobbyist data viz, dashboards, blog posts and side-projects.

Non-profit

• Open-data journalism, transparency audits, civic-tech tools.

Experimentation

• Train ML models on a clean, structured slice of public data.

🤖 Ask an AI assistant about this scraper

• ChatGPT
• Claude
• Perplexity
• Microsoft Copilot

Paste this README into any of them and ask: "How would I use the Seattle Restaurant Inspections Scraper to solve X?"

❓ Frequently Asked Questions

❓ Is the data accurate?

Yes - the scraper pulls directly from the official King County (WA) Food Establishment Inspections public dataset. Accuracy mirrors the source.

❓ Do I need an API key or login?

No. Everything is public data. Just run the actor.

❓ How fresh is the data?

Each run fetches the latest available records from data.kingcounty.gov at request time.

❓ How many records can I export?

Free users: 10 (preview). Paid users: up to 1,000,000 per run.

❓ Can I export to Excel?

Yes - choose CSV, Excel, JSON or XML on the dataset page.

❓ Can I schedule recurring runs?

Yes - Apify Schedules supports hourly/daily/weekly/cron. Pair with integrations for auto-delivery.

❓ Is this affiliated with King County (WA) Food Establishment Inspections?

No. This is an independent tool that exposes publicly available data via a structured interface.

❓ What happens if the source goes down?

The actor surfaces a clean error record. Re-run when the source is back up.

❓ Can I filter the output?

Yes - the input section above lists every supported filter, exposed as a typed input field.

❓ Can I use it for commercial purposes?

Yes, subject to the source dataset's terms of use. Always review the original publisher's license.

❓ Where can I get help?

Open our contact form - we usually respond within one business day.

🔌 Integrate with any app

Make · Zapier · Slack · Airbyte · GitHub · Google Drive · Google Sheets · BigQuery · Snowflake · Redshift · Postgres · MySQL · MongoDB · Kafka · Webhooks · REST API.

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🆘 Need Help? Open our contact form

⚠️ Disclaimer: This is an independent tool and is not affiliated with, endorsed by, or sponsored by King County (WA) Food Establishment Inspections. It only collects publicly available data published by the source. Always review the source's terms of use before commercial deployment.