Research & Scraping
Research & Scraping Engine
Point it at any website and get back an organized, summarized research packet — with fixed-record PDFs of the pages that matter.
PythonAI summariesPDF captureExcel reports
research-scraping-engine.app

The problem
Sizing up a competitor, a prospect, or a sprawling site by hand means dozens of tabs and notes you will never reuse — and the pages you relied on can change or disappear tomorrow.
What it does
- Crawls a site and collects every page worth keeping
- Summarizes each page so you can skim the whole property in minutes
- Flags the pages that carry pricing, contact, or positioning signals
- Converts any list of URLs into clean, archived PDFs — a fixed record of what a page said
- Exports a spreadsheet and a written overview you can hand to a teammate
- Caches results so re-running on a known site is fast and cheap
Example workflow
- 1Paste a starting URL — or a list — and pick how deep to go
- 2Pages are fetched, deduped, summarized, and tagged by type
- 3Key pages are captured as PDFs for a permanent record
- 4The packet lands in your drive or inbox, organized and labeled
Example use cases
- Sizing up a competitor before a pitch
- Building research packets on a list of prospects
- Keeping a fixed record of pages that may change or disappear
Ways it can be customized
- Set crawl depth, allowed paths, and what counts as a key page
- Choose the export formats and delivery — spreadsheet, doc, Drive, email
- Add a watch mode that re-checks sites and re-captures pages on a schedule
What you can expect
Less manual copying
Faster follow-up
Cleaner handoffs
Fewer missed details
A reusable workflow
Easier reporting