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Seattle Crime Data Scraper | SPD Incident Reports

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Seattle Crime Data Scraper | SPD Incident Reports

Seattle Crime Data Scraper | SPD Incident Reports

Pull Seattle Police Department crime incident records: offense, NIBRS category, precinct, sector, beat, date, location and report number. Filter by precinct or category (Person, Property, Society). CSV, Excel, JSON or XML for research and journalism.

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๐Ÿš” Seattle Crime Data Scraper

๐Ÿš€ Export Seattle Police Department NIBRS crime incident records: offense category, location, date, beat, precinct, and crime classification.

The Seattle Crime Data Scraper extracts records from the Seattle Police Department open crime dataset on data.seattle.gov. Each record includes report number, report and offense date/time, NIBRS group (A/B), crime-against category, offense sub-category, block address, lat/lon, beat, precinct, sector, neighborhood, reporting area, offense category and offense - exported as CSV, Excel, JSON, or XML.

The scraper supports filtering by SPD precinct (North, East, South, West, Southwest) and offense category. Coverage spans every NIBRS-reported incident from 2008 to present.

๐ŸŽฏ Target Audience๐Ÿ’ก Primary Use Cases
Journalists, researchers, public-safety analysts, insurance modelers, civic-techCrime-trend analysis, neighborhood safety, insurance modeling, civic reporting

๐Ÿ“‹ What the Seattle Crime Data Scraper does

  • Connects to the official Seattle Police Department Crime Data 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).

๐Ÿ’ก Why it matters: stop copy-pasting from a portal that paginates 100 records at a time. One click, full dataset, your format.

๐Ÿ“Š Data fields

Each record includes: beat, block_address, imageUrl, latitude, longitude, neighborhood, nibrs_crime_against_category, nibrs_group_a_b, offense, offense_category, offense_date, offense_id, offense_sub_category, precinct, report_date_time, report_number, reporting_area, results, scrapedAt, sector, shooting_type_group, sourceUrl, title, url. These field names come straight from the actor's dataset schema, so what you see here is what lands in your dataset.

๐Ÿš€ How to use

  1. Create a free Apify account with $5 credit - no credit card required.
  2. Open the Seattle Crime Data 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.
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๐Ÿ’ก Pro Tip: browse the complete ParseForge collection for 50+ data-export actors.

โš ๏ธ Disclaimer: This is an independent tool and is not affiliated with, endorsed by, or sponsored by Seattle Police Department Crime Data. It only collects publicly available data published by the source. Always review the source's terms of use before commercial deployment.

๐Ÿ†˜ 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.