Most extraction guides tell you what should work. This one tells you what did.
Every claim on this site carries a date and a sample size. When a method fails, the page says so, including the cases no tool can fix.
- Tools running
- 13
- Pages of evidence
- 17
- Last measured
- 3 Sept 2026
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Re-run monthly. Re-dated every time.
Success rates by environment, failure modes, and how each of those moves month to month. If a number here is stale, that is a bug.All benchmarks →
One business per page, costed to the cent.
What the input actually costs at our published prices, what the output sells for, and the work in between that nobody else mentions.All playbooks →
How a number gets onto this site
The tools are the instrument. Running them for customers produces the measurements; the site is where those measurements go.
- 01
Run at volume
The same tools that serve customers run against hundreds of inputs, from more than one network.
- 02
Count every outcome
Success, block, and the inputs that had nothing to return. Each is a row, and none are dropped.
- 03
Publish with the date and the n
A figure without both is a claim. With both it is a measurement someone else can check.
Useful to someone who never buys anything.
Each guide owns one search query and answers it in the first paragraph. That is also what makes them worth finding.All guides →
Thirteen tools, each with its limit stated.
Every row on the directory says what comes back, what it costs, and what it will not do. The limit is usually the thing you needed to know before you started.Open the directory →
Running extraction at volume produces data nobody publishes.
We publish and maintain data-extraction tools on Apify. Running them for customers produces measurements: success rates by environment, failure modes, and how each of those changes over time. Most of that is not written down anywhere, so this is where it goes.
The tools are linked where they are relevant. The pages are written to stand up without them.