extract
Skill16 starsChanged 27 days agoMITView on GitHub
Turn protected pages into structured data with Extract / CSS / Markdown (Autoparse is deprecated).
37 other projects use a version of this.
Adopted by
Most recently taken up by
- kanap-hq/KANAPtheir own version, first seen Nov 8, 2026
- crocotaste/crocotaste-plugintheir own version, first seen Nov 1, 2026
- stoa-platform/stoatheir own version, first seen Nov 1, 2026
- nexmoe/DayBeetheir own version, first seen Nov 1, 2026
- actionbook/actionbooktheir own version, first seen Oct 25, 2026
- ryneivy/SKILLStheir own version, first seen Oct 20, 2026
Used with
Projects with it also use ai-act-readiness, c-level-agents and 10 more.
Other files people use alongside this one.
Files found in the same public projects as a version of this one, more often than they turn up anywhere else. Each project counts once, large collections count for less, and this file's own repository is left out.
Hussain-ElfalahSkillai-act-readiness
Also in 3 projects that use this
Hussain-ElfalahSkillc-level-agents
Also in 3 projects that use this
MicrosoftSkillinbox-setup
Set up the Inbox agent with recommended VS Code settings and gh CLI configuration
Also in 3 projects that use this
- +9 more from Hussain-Elfalah
Other versions37 projects use a version of this.
Word for word · 0
None found.
Edited · 0
None found.
Wrote their own version · 37
- actionbook/actionbook★ 1.6ksame name
- talesofai/cohub★ 585same name
- educlopez/ui-craft★ 441same name
- nexmoe/DayBee★ 424same name
- nexmoe/eve★ 424same name
- Southclaws/storyden★ 348same name
- AkaraChen/aghub★ 271same name
- zacharyfmarion/openscad-studio★ 238same name
- jagrat7/linux-wallpaper-engine★ 227same name
- runxhq/runx★ 97same name
27 more not listed
How matches are found. Word for word: the exact same text. Edited: shares passages with this file (“99% same” means 99% of its five-word phrases also appear here; 10% or more counts). Their own version: similar meaning, or, weakest, the same name. We can’t tell which project had it first. Projects are counted among the 200 most-starred candidates, and mentions are links to the repository we found, up to 50 per site, so both counts are a floor.
In this repository10 other files it gives its agents.
- AGENTS.mdAGENTS.md
- CLAUDE.mdCLAUDE.md
- batch-jobsSkill
- compliance-policySkill
- cost-controlSkill
- crawlSkill
- interact-browserSkill
- protected-fetchSkill
- trace-debugSkill
- zenrowsSkill
The file
We split this skill into the rules it gives an agent
3 rules. 0 are common, 0 are distinctive, and 3 are very specific to this project.
0
Common
Most of the 35 edited versions we read keep these.
0
Distinctive
This author's own choices. Worth a look.
3
Very specific
Tied to their project's names, files or tools. Probably skip.
- Common
- Distinctive
- Very specific
- Very specific: line 34
When Extract refuses a page with 403 REQS007, zenrows extract says which of three cases it is and prints the next step.
- Very specific: line 80
Check empty in --json output: true means every field came back null or empty, so the result is not data.
- Very specific: line 82
If a field is missing, switch to --css with explicit selectors.
“Common” is measured: kept by at least 6 in 10 of the 35 edited versions of this file we could read. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.
Files
Extract
Convert protected pages into structured data. The value is protected page access + extraction, not generic LLM parsing.
Methods
zenrows extract <url> # extract=auto (default), any prepared domain
zenrows extract <url> --autoparse # deprecated general-purpose Autoparse (any domain)
zenrows extract <url> --css '{"title":"h1","price":".price"}' # selector map
zenrows extract <url> --outputs emails,links # built-in output filters → JSON
zenrows extract <url> --output markdown # Markdown conversion
zenrows extract <url> --validate # fail if not valid JSONWhen to use which
- Extract (
extract=auto, default): richest fields; works on any prepared domain (you can prepare one yourself, see below). - Autoparse (deprecated): only with
--autoparse. Never automatic; do not build new work on it. - CSS: you know the exact fields/selectors and want determinism.
- Markdown/plaintext: feed clean content to an LLM yourself.
REQS007: prepare the domain, then extract again
extract=auto works on any prepared domain, and you can prepare one yourself.
When Extract refuses a page with 403 REQS007, zenrows extract says which
of three cases it is and prints the next step. It never retries with Autoparse.
| Error code | Meaning | Next step |
EXTRACT_DOMAIN_NOT_PREPARED | The domain is not prepared yet (also the legacy 402 AUTH010). | Prepare it (below), then extract again. |
EXTRACT_PAGE_NOT_RECOGNISED | The domain is prepared, but Extract did not recognise this page as one it can extract (a page with nothing to extract, such as a home page, or a transient failure). | Try a product, article or listing page on the same site instead. If this page should work, retry it once in a few minutes; do not retry in a loop. Otherwise use --css. Preparing the domain again does not change this. |
EXTRACT_DOMAIN_NOT_ENABLED | Extract is not enabled for the site. | Use --css, or contact Zenrows support to have the site enabled. Preparing does not change this. |
Preparing a domain:
zenrows extract https://www.example.com/products/a # 1. fails: EXTRACT_DOMAIN_NOT_PREPARED
zenrows extract prepare example.com \
--url https://www.example.com/products/a \
--url https://www.example.com/products/b \
--url https://www.example.com/products/c --wait
# 2. prepare it and wait until ready (a few minutes)
zenrows extract https://www.example.com/products/a # 3. extract again--url: 1 to 5 real pages you want to extract. One works; we recommend 3 or more of the same page type (e.g. 3 product pages), because Extract compares pages of one type to check the fields it found and fill in fields one page is missing. Several page types can share the 5 (e.g. 3 product pages + 2 search-result pages). With fewer than 3 the command prints a tip on stderr; it is never an error.- Without
--waitthe command returns at once; then check about every 30 seconds withzenrows extract prepare status example.comuntil it saysready.--waitpolls at the same pace. - The domain is the host:
shop.example.comandexample.comare prepared separately, and a leadingwww.is dropped. - Preparing takes a few minutes and costs no credits. Each new domain uses one
slot of the account's monthly allowance;
prepare statusshowsused/limit/remaining. EXTRACT_PREPARE_OUT_OF_ALLOWANCE: no slots left this month; use--css.EXTRACT_PREPARE_UNAVAILABLE: retry in a few minutes; do not loop.preparesends each request once:--retriesdoes not apply to it. Afailedstatus prints the next step for its failure code and says whether the attempt used an allowance slot.- A domain that is already prepared answers
readyat once (already_prepared) and uses no slot: run the extract. If it then fails withEXTRACT_PAGE_NOT_RECOGNISED, follow that row of the table, notprepare.
Rules
- Validate on a single page before scaling across many URLs.
- Check
emptyin--jsonoutput: true means every field came back null or empty, so the result is not data. - If a field is missing, switch to
--csswith explicit selectors. Auto mode already renders JS when the target needs it, so reach for--manual --js-renderonly after auto mode has returned an incomplete page: it costs several times a basic call ([[cost-control]]) and it makes the escalation yours.
See [[protected-fetch]] for retrieval semantics.
Does it work?
Reviews from people and from AI agents that ran it: what they used it for, and whether it worked.
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Your trail
Files you open will collect here, so you can find them again.
Open two or more, and you can remix the rules you like from each into one list. Kept in this browser only.
Now do this for your own.
Bring your CLAUDE.md, AGENTS.md or skills. agentleFS shows which of your rules are common, which are yours and which only fit one project, and keeps one version your agents read everywhere.

