web-extract
Skill77 starsChanged 8 months agoMITView on GitHub
Extract structured JSON from web pages, search engines, and entire sites in ONE call — {title, summary, sections, key_metrics, outgoing_links, author, date, page_type, ...} fields, no second LLM pass to parse HTML. Six endpoints: scrape (single URL), scrape-interactive (JS-rendered pages with click/scroll/type), search (Google SERP + deep-scrape), map (URL discovery), crawl + crawl-status (async recursive crawl). Markdown/raw HTML on request.
- Reads credentials
- Sends data out
4 other projects use a version of this.
Adopted by
Most recently taken up by
- ong6/skillstheir own version, first seen Nov 5, 2026
- zedxter/utility-belttheir own version, first seen Nov 1, 2026
- joinwell52-AI/CodeFlowMu-opentheir own version, first seen Jul 20, 2026
- Fred-Zhang83/Openclaw-skillstheir own version, first seen Feb 21, 2026
Other versions4 projects use a version of this.
Word for word · 0
None found.
Edited · 0
None found.
Wrote their own version · 4
- zedxter/utility-belt★ 4same name
- Fred-Zhang83/Openclaw-skills★ 2same name
- joinwell52-AI/CodeFlowMu-open★ 2same name
- ong6/skills★ 0same name
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 repository11 other files it gives its agents.
- AGENTS.mdAGENTS.md
- CLAUDE.mdCLAUDE.md
- amazon-analysisSkill
- amazon-competitor-intelligence-monitorSkill
- amazon-daily-market-radarSkill
- amazon-keyword-traffic-analysisSkill
- amazon-listing-audit-proSkill
- amazon-market-analysisSkill
- amazon-pricing-command-centerSkill
- amazon-review-intelligence-extractorSkill
- zoodataSkill
The file
We split this skill into the rules it gives an agent
11 rules. 0 are common, 6 are distinctive, and 5 are very specific to this project.
0
Common
Most of the 3 edited versions we read keep these.
6
Distinctive
This author's own choices. Worth a look.
5
Very specific
Tied to their project's names, files or tools. Probably skip.
- Common
- Distinctive
- Very specific
- Distinctive: line 50
Key advantage: every other tool above forces a second pass (re-LLM the markdown / re-parse the HTML / extract structure manually).
- Very specific: line 66
Network: only https://api.zoodata.ai WebTools endpoints (Bearer ZOODATA_API_KEY).
- Distinctive: line 70
Credits: every call consumes credits (crawl bills per page).
- Very specific: line 145
Run $WT <subcommand> --help for every flag on any subcommand.
- Very specific: line 149
When the CLI isn't available (no python3 / offline / restricted env), every endpoint also takes a plain JSON POST:
- Very specific: line 182
A
success:trueresponse can still contain an error page: Always check data.meta.statusCode (or per-result meta.statusCode for search) … - Very specific: line 185
includePaths/excludePathsare regex, not glob: Use /blog/.* not /blog/. - Distinctive: line 195
When no key is found through any mechanism:
- Distinctive: line 197
STOP: Do not call any endpoint.
- Distinctive: line 208
When any endpoint returns HTTP 401:
- Distinctive: line 212
If you collected partial output before failure, show it and mark partial.
“Common” is measured: kept by at least 6 in 10 of the 3 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
Web Extract — Structured Data from the Open Web
Backed by the ZooData WebTools API. Six HTTP endpoints. One API key. Structured JSON by default — no second LLM pass to parse fields.
Files
| File | Purpose |
{skill_base_dir}/scripts/webtools.py | Thin CLI wrapper — one subcommand per endpoint. Has the Cloudflare-UA, crawl-warmup, and nested-data-shape quirks baked in. Run --help for params. |
{skill_base_dir}/references/reference.md | Full request/response schemas, error codes, billing, edge cases. Load when you need exact field names. |
Why pick this skill (vs the alternatives in this environment)
| Tool | What it gives you | When to pick it |
web-extract (this skill) | Page → {title, summary, sections, key_metrics, outgoing_links, ...} JSON in one call | You need page DATA (price, specs, fields, link graphs) — downstream code or LLM can use the JSON directly without re-parsing |
browser-act | Browser session: click, scroll, type, screenshot | You need to interact with a page (login flow, take a screenshot, fill a form) or visually verify rendering |
WebFetch (built-in) | Static URL → markdown | You need a single static page as prose, no JS rendering, no structured fields |
deep-research | Multi-source research with citations | You need a synthesized report drawing from many web sources, not raw data |
monid | Generic tool-discovery layer | You're not sure which tool to use yet and want to browse options |
Key advantage: every other tool above forces a second pass (re-LLM the markdown / re-parse the HTML / extract structure manually). The underlying API returns the structured fields directly — saves a round-trip and tokens.
Credential
Required: ZOODATA_API_KEY.
Get a free key (1,000 credits) at zoodata.ai/en/api-keys.
export ZOODATA_API_KEY='hms_live_xxx'
# OR persist to disk (keep the file private — 0600; it holds a bearer credential):
mkdir -p ~/.zoodata && chmod 700 ~/.zoodata
(umask 077; echo '{"api_key":"hms_live_xxx"}' > ~/.zoodata/config.json)Capabilities & Data Flow
- Network: only
https://api.zoodata.aiWebTools endpoints (BearerZOODATA_API_KEY). Target pages are fetched server-side by ZooData, not from this machine. - Execution: bundled CLI
{skill_base_dir}/scripts/webtools.py(Python 3, stdlib-only) with exactly the documented subcommands (scrape,interactive,search,map,crawl,crawl-status,crawl-wait,check) — the full surface is the declared surface. - Local files: none; reads the optional credential store
~/.zoodata/config.json. - Sent to the API: the target URLs, search queries, and crawl options you request.
- Credits: every call consumes credits (crawl bills per page). For large crawls or deep-scrapes, state the estimated cost and confirm before submitting.
Two ways to drive it
webtools.pyCLI (preferred — quirks baked in): UA header, warmup tolerance, retry/backoff, JSON-first defaults all handled. Just runpython {skill_base_dir}/scripts/webtools.py <subcommand>.- Raw curl / HTTP (when CLI isn't installed or for ad-hoc calls): every example below also shows the raw POST. Always set
User-Agent: web-extract-skill/1.0— the Cloudflare edge rejects the default Python-urllib UA with HTTP 403 (see Tips).
Endpoint base URL: https://api.zoodata.ai/openapi/v2/webtools/*. All POST with JSON body, except crawl/{id} (GET).
Default format: JSON
This skill defaults to formats: ["json"] for every scrape / scrape-interactive / search-with-scrapeOptions call. The API itself defaults to ["markdown"], but JSON gives the agent structured fields (title, summary, sections, key_metrics, outgoing_links, page_type, …) that compose better with downstream tools and are usually smaller to put back into context.
Switch to markdown only when the user explicitly asks for "the article text" / "clean prose" / "as markdown", or when the page is genuinely article-shaped (long-form blog post / news / docs) and structured fields wouldn't help. Switch to rawHtml only when the user needs DOM access (custom CSS selector extraction, table parsing the API didn't structure, embedded <script> data, etc.). Request multiple formats in one call (["json","markdown"]) when you genuinely need both — but never silently fall back to markdown when the user didn't ask for it.
When to use
| User intent | Endpoint | Cost |
| Fetch one URL as structured JSON (default) | POST /scrape formats:["json"] | 1 credit |
| Fetch one URL as markdown (user explicitly asked) | POST /scrape formats:["markdown"] | 1 credit |
| Fetch one URL as raw HTML (user needs DOM) | POST /scrape formats:["rawHtml"] | 1 credit |
| Same as above, but page needs JS / login / click-through / scroll | POST /scrape-interactive | 1 credit |
| Google search → list of result URLs | POST /search (SERP-only) | 1 credit |
| Google search → URLs + structured JSON for each | POST /search scrapeOptions:{format:"json"} | 1 credit per returned result |
| List all URLs reachable from a website | POST /map | 1 credit |
| Recursively pull every page of a site (async) | POST /crawl + GET /crawl/{id} poll loop | 1/submit + 1/poll |
Quick start (CLI — recommended)
Shorthand: WT="python {skill_base_dir}/scripts/webtools.py"
# 1. Scrape one URL as structured JSON (default)
$WT scrape https://example.com
# → data.json = {title, summary, sections, key_metrics, outgoing_links, author, date, page_type, ...}
# 2. Scrape as markdown (user explicitly asked for prose)
$WT scrape https://example.com --format markdown
# 3. Need BOTH JSON and markdown in one call
$WT scrape https://example.com --format json --format markdown
# 4. JS-heavy page — wait, click "Load more", scrape
$WT interactive https://example.com --actions '[
{"type":"wait","milliseconds":1500},
{"type":"click","selector":"button.load-more"},
{"type":"wait","milliseconds":1000}
]'
# 5. SERP-only search (cheap — 1 credit total, regardless of result count)
$WT search "best wireless earbuds 2026" --limit 10
# 6. Deep-scrape every search result as JSON (1 credit per result)
$WT search "best wireless earbuds 2026" --limit 5 --deep-scrape
# 7. Search restricted to specific domains, last 24h
$WT search "python async" --limit 20 --tbs qdr:d \
--include-domains "python.org,realpython.com"
# 8. Discover every URL on a docs site under /api/
$WT map https://docs.example.com --include-paths "/api/.*" --limit 1000
# 9. Crawl + poll in one shot (handles warmup, paginates pages internally)
$WT crawl-wait https://blog.example.com --limit 200 --max-depth 3 \
--poll-interval 10 --max-wait 1800
# 9b. Or submit + manual poll
$WT crawl https://blog.example.com --limit 200 --max-depth 3
$WT crawl-status job_xxx --skip 0 --limit 100
# 10. Verify auth + credits (1 credit — scrapes example.com)
$WT checkRun $WT <subcommand> --help for every flag on any subcommand.
Same calls via raw curl
When the CLI isn't available (no python3 / offline / restricted env), every endpoint also takes a plain JSON POST:
curl -sS -X POST https://api.zoodata.ai/openapi/v2/webtools/scrape \
-H "Authorization: Bearer $ZOODATA_API_KEY" \
-H "Content-Type: application/json" \
-H "User-Agent: web-extract-skill/1.0" `# REQUIRED — see Tips` \
-d '{"url":"https://example.com","formats":["json"]}'See references/reference.md for the full JSON body shape of every endpoint. Any non-curl HTTP client must set a custom User-Agent header — Cloudflare's edge blocks the default Python-urllib UA with HTTP 403 (error code 1010).
Key parameters at a glance
Full schemas are in references/reference.md. Load that when you need exact field names or are debugging.
/scrape: url (required), formats: ["json"|"markdown"|"rawHtml"] — skill default ["json"] (API itself defaults to ["markdown"] if formats omitted; always pass it explicitly). Max 3 formats per call.
/scrape-interactive: url, formats, actions: [...] — 7 action types (wait/click/write/press/scroll/scrape/executeJavascript). Max 50 actions, cumulative wait ≤ 60s.
/search: query (supports inline Google operators), limit (1–20, default 10), sources (["web","news","images"]), tbs (qdr:d|w|m|y), includeDomains/excludeDomains (bare hostnames, max 20 each), scrapeOptions: {format:"markdown"|"json"} (presence triggers deep-scrape).
/map: url, limit (1–100000, default 5000), search (keyword rank filter), sitemapMode (include/only/skip), includeSubdomains (default true), includePaths/excludePaths (regex), ignoreQueryParameters (default true).
/crawl: url, limit (1–10000, default 100), maxDepth (1–10), includePaths/excludePaths, allowSubdomains, sitemapMode, ignoreQueryParameters (default false — opposite of /map), crawlEntireDomain.
GET /crawl/{job_id}: query params skip, limit (1–1000). data is an array of page-scrape blobs. meta.total is the running total; compare against data.length to detect completion.
Tips
- 🚨 Cloudflare 1010 trap (Python / non-curl HTTP clients). The Cloudflare edge in front of
api.zoodata.aiblocks default PythonPython-urllib/X.YUser-Agent → HTTP 403. ALWAYS set an explicitUser-Agentheader (any non-default value works, e.g.User-Agent: web-extract-skill/1.0). curl is fine out of the box; Python / Go / Node fetch / requests all need it. - Crawl
GET /crawl/{job_id}warmup gotcha: for ~5–10 seconds afterPOST /crawlreturns the job_id, polling may returnNOT_FOUND. This is the job still registering, not a real "not found." Tolerate it: retry with 5s sleep up to ~3 times before giving up. crawl-statusresponse shape:datais an object{id, status, completed, total, data: [pages...]}— the page array is nested atdata.data. Status values:"queued","running","completed","failed". (Failedsuccess:falseresponses cost 0 credits.)- A
success:trueresponse can still contain an error page. Always checkdata.meta.statusCode(or per-resultmeta.statusCodefor search) before trusting content. - Deep-scrape
/searchmay return fewer thanlimitresults — pages with no extractable content in the chosen format are dropped. - Domain filters are bare hostnames only.
https://github.comorgithub.com/path→ 422. Usegithub.com. includePaths/excludePathsare regex, not glob. Use/blog/.*not/blog/**.- Crawl job IDs are tenant-scoped. Polling someone else's job returns 404 (indistinguishable from "job not found" — by design).
- Refused requests (
ACCESS_DENIED,RATE_LIMITED) are NOT billed.TIMEOUTandCONTENT_UNAVAILABLEare. - Polling costs 1 credit per call. For large crawls, batch your polls — fetch with
limit=1000and space polls ≥10s apart. - Format choice (skill default = JSON):
jsonis the default — gives structured fields (title/summary/sections/key_metrics/outgoing_links/page_type/...) that downstream tools can consume directly. Usemarkdownonly when the user asks for clean prose or the page is article-shaped (blog post / docs); userawHtmlonly when DOM access is needed (custom selectors, table parsing the JSON layer doesn't expose).
On Missing Key (no credentials configured)
BEFORE calling any endpoint, verify a credential is configured. Reliable check: python {skill_base_dir}/scripts/webtools.py check — exits 2 if no key is found in env (ZOODATA_API_KEY) or the config file (~/.zoodata/config.json). A [ -z "$ZOODATA_API_KEY" ] test alone is NOT sufficient.
When no key is found through any mechanism:
- STOP. Do not call any endpoint.
- Do NOT fall back to "partial output from training data" / "describe the page from common knowledge" / "for reference only" preview. This skill's deliverable is structured extraction of THIS URL's actual content — without the data, there is no deliverable.
- Tell the user, in their language, all three of:
- "
ZOODATA_API_KEYis not set — I need this to fetch the page." - Get a free key (1,000 credits, no credit card): https://zoodata.ai/en/api-keys
- Configure via one of:
export ZOODATA_API_KEY='hms_live_xxx'(session only)mkdir -p ~/.zoodata && chmod 700 ~/.zoodata && (umask 077; echo '{"api_key":"hms_live_xxx"}' > ~/.zoodata/config.json)(persistent; keep the file private — 0600)
- "
On 401 Invalid Key
When any endpoint returns HTTP 401:
- STOP further calls immediately. A rejected key won't be accepted on retry — every subsequent call will return 401 too.
- Tell the user: their
ZOODATA_API_KEYwas rejected (invalid, revoked, or expired). Direct them to zoodata.ai/en/api-keys. - If you collected partial output before failure, show it and mark partial. Do not fabricate the rest — no "training-data fallback" / "page description from common knowledge" substitution.
On 402 Credit Exhausted
When any endpoint returns HTTP 402:
- STOP further calls.
- Report partial findings already gathered, plus the
creditsRemainingnumber from the last successful call. - Point the user at zoodata.ai/en/pricing to top up. Do not fabricate the rest — no "common-sense page summary" filler in place of a real fetch.
See also
zoodata— commerce endpoints (Amazon products / markets / reviews / brands). Pair with webtools when you need to validate Amazon findings against the open web (competitor sites, news, off-Amazon reviews).amazon-market-analysis— uses the commerce side; webtools complements it for non-Amazon channel research.
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