Your scraper, read properly — then actorized, given an input schema, an output schema and a client
Paste the scraper you already have, plus whatever Actor files exist —
.actor/actor.json, INPUT_SCHEMA.json, the
Dockerfile, package.json. The browser reads it for free: which
runtime you are on, every JSON document in the paste and what it really is, whether the
manifest and the input schema pass the actual Apify rules, and which fields your code
pushes to the dataset. Then pick a lane.
Every lane ships a saved model run, so you can see a whole answer — findings, plan, emitted file — without signing in and without spending a credit.
Actorize the script
Read the scraper and whatever Actor files exist, and say exactly what stands between this script and an Actor that runs on the platform.
Drop main.js, main.py, actor.json,
INPUT_SCHEMA.json or the Dockerfile here, or
.
Nothing is uploaded by dropping a file — it is read in this browser.
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Run the lane
Paste a scraper to begin.
Your past runs
Runs you make while signed in are saved to your account and listed here.