Seattle Restaurant Inspections Scraper | King County Health
Pricing
from $19.00 / 1,000 results
Seattle Restaurant Inspections Scraper | King County Health
Export King County (Seattle area) food establishment inspection records: business name, address, city, inspection date, result, violations and risk grade. Filter by city or inspection result. CSV, Excel, JSON or XML for compliance and food-safety research.
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from $19.00 / 1,000 results
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ParseForge
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🍽️ Seattle Restaurant Inspections Scraper
🚀 Export Seattle / King County food-establishment inspection records: violations, scores, risk category, addresses and inspection results in seconds.
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.
📊 Data fields
Each record includes: address, business_id, city, description, grade, imageUrl, inspection_business_name, inspection_closed_business, inspection_date, inspection_result, inspection_score, inspection_type, latitude, longitude, name, phone, program_identifier, results, scrapedAt, sourceUrl, title, url, violation_description, violation_points, violation_type, zip_code. These field names come straight from the actor's dataset schema, so what you see here is what lands in your dataset.
🚀 How to use
- Create a free Apify account with $5 credit - no credit card required.
- Open the Seattle Restaurant Inspections Scraper page in Apify Store and click Try for free.
- Configure the input (see Input section above).
- Click Start - the run will produce a downloadable dataset.
- Export as CSV, Excel, JSON or XML, or stream to your destination via integrations.
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💡 Pro Tip: browse the complete ParseForge collection for 50+ data-export actors.
⚠️ 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.
🆘 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.
