Scraper.io field notes
Notes on getting data off the public web.
How we scope a job, show a sample, and keep a feed current — written for people who buy the file, not a crawler.
A practical system for changing markets
How to keep a market map current without rebuilding it every month
A practical model for turning a one-off market spreadsheet into a maintained, source-backed view of companies, facts and changes.
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How the evidence layer gets built.
What counts as evidence in a Live Market?
A source link is a start. A trustworthy market value also needs a supporting excerpt, observation time and an honest label for inference.
5 August 2026
7 min read
We reviewed 20 AI vendors across 60 official-source observations. Here is what the baseline can—and cannot—tell you.
An honest account of Scraper.io's first reviewed AI vendor baseline: its scope, coverage, evidence mix and missing temporal proof.
5 August 2026
9 min read
From a company list to a live dataset: the workflow we use
A practical playbook for defining the market, verifying each match, adding useful fields and deciding what should trigger review.
5 August 2026
6 min read
Eight web signals worth monitoring before a market moves
The public-web changes that often reveal a new product, changing go-to-market motion or a company moving into your category.
5 August 2026
7 min read
How to give agents fresh context without giving them fresh hallucinations
A technical pattern for supplying agents with current web facts, source evidence, uncertainty and a safe route to human review.
5 August 2026
8 min read
The live dataset brief: a copy-and-paste template
A short template for scoping the market, fields, evidence standard, refresh cadence and delivery workflow before collection begins.
5 August 2026
5 min read
Have a job in mind?
Turn the research your team repeats into a feed that stays useful.
Bring a spreadsheet, a source list, or a recurring question. Type it on the homepage for a sample and a fixed price — or book a demo if you want us on the call.