Innovative Automations
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
Research & Scraping Engine screenshot

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

  1. 1Paste a starting URL — or a list — and pick how deep to go
  2. 2Pages are fetched, deduped, summarized, and tagged by type
  3. 3Key pages are captured as PDFs for a permanent record
  4. 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