Build once, then run fast
Build-a-Bot writes a scraper once, then reuses that code for fast, low-cost concurrent runs across many sites. Unlike tools that apply LLM extraction to every page, it keeps AI out of the repeated extraction loop.
Turn web pages into data your app can use. Pick your URLs, describe the fields you need, and let Build-a-Bot collect and structure the results—ready to export to a file or database.
Use the build-a-bot package to build a reliable data extraction service from any URLs, and convert them into structured data
Enter the URLs you want to use as data sources, one per line.
Define the fields you want to extract from each URL.
Choose where your data goes. Add one or more destinations.
Build-a-Bot writes a scraper once, then reuses that code for fast, low-cost concurrent runs across many sites. Unlike tools that apply LLM extraction to every page, it keeps AI out of the repeated extraction loop.
Build-a-Bot uses historical request outcomes to choose the right proxy for each page. It routes traffic based on what has worked before, balancing reliability and cost without making you configure every request by hand.
Build-a-Bot handles CAPTCHAs automatically so your collection jobs can keep moving. Challenge handling is built into the scraping workflow, reducing manual interruptions and letting you focus on the data rather than individual blocked requests.
Every extracted record stays connected to its original source, with citation details available alongside the data. Trace a result back to the page it came from, verify the context, and keep a clear trail for downstream use.
Keep previous versions of your collected data instead of replacing them with the latest run. Look back at earlier snapshots, compare changes over time, and build datasets that show how your sources have evolved.
Set a schedule and let your bot revisit its sources automatically. Track changes, refresh your datasets, and keep an eye on the pages that matter without manually restarting the same collection job every time.
Send structured results to Supabase, PostgreSQL, Google Sheets, or Airtable, or export files as CSV and JSON. Choose the destination that fits your workflow and move data into your apps, dashboards, and analysis tools without extra cleanup.