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Hasdata

Skill HasData/agent-skills/skills/hasdata

Use HasData to scrape any public web page, run real-time Google/Bing/Google-AI-Mode search queries, pull structured data from e-commerce, real-estate, lodging, jobs, maps, travel, video, and social platforms, or run async bulk-scraping and crawling jobs without managing proxies, browsers, or captchas. Reach for this skill when the user mentions web scraping, SERP/search results, Google Maps/Trends/Flights/Images, YouTube videos/transcripts/channels, Amazon, Zillow, Redfin, Airbnb, Booking.com hotels, Yelp, Indeed, Glassdoor, Instagram, Shopify, scraper jobs, website crawling, RAG/LLM data ingestion, lead/contact enrichment, or HasData itself.From its SKILL.md

Install
npx -y skills add HasData/agent-skills --skill hasdata

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SKILL.md

6.3 KB, ~1.5k tokens by cl100k_base, as published. Nobody here has run it

HasData

Cloud platform for extracting public web data. One API key, three execution modes. All endpoints sit under https://api.hasdata.com and authenticate with x-api-key.

curl -G 'https://api.hasdata.com/scrape/google/serp' \
  --data-urlencode 'q=coffee' \
  -H 'x-api-key: <your-api-key>'

401 invalid key, 403 quota exhausted, 429 concurrency cap, 500 server error (retry).

Three execution modes

ModeLatencyWhenEndpoint
Web Scraping APIsecondsArbitrary URL — JS rendering, CSS/AI extraction, screenshotsPOST /scrape/web
Scraper APIs (sync)secondsPre-parsed JSON for known platforms (Google, Amazon, Zillow, …)GET /scrape/<vertical>/<resource>
Scraper Jobs (async)minutes–hoursBulk extraction, recursive crawling, webhook fan-outPOST /scrapers/<slug>/jobs

Decision rule. Default to a Scraper API when one exists for the platform (pre-parsed JSON, no selector maintenance). Use Web Scraping for arbitrary URLs not covered by an API. Reach for a Scraper Job only when no API equivalent exists — crawler, contacts, sec-edgar, amazon-bestsellers, amazon-product-reviewsor when async fan-out + webhooks save engineering time over a paginated client loop.

Always-true response shape

{ "requestMetadata": { "id": "…", "status": "ok", "url": "…" }, "...": "endpoint-specific" }

Treat data as valid only if requestMetadata.status === "ok". HTTP 200 alone isn't enough.

High-leverage patterns

  • SERP-first enrichment. Google SERP is a free-form data lake. q="<Person> <Company> linkedin"organicResults[0].title + .snippet already carries role + location, no profile-page scrape needed. Same recipe with crunchbase, wikipedia, github, or quoted literals ("[email protected]", "+1 555 …") for reverse lookup.
  • AI Mode + verify. /scrape/google/ai-mode for the answer + references → /scrape/web (markdown) on each reference URL → cited RAG context, no vector DB.
  • Maps → leads. /scrape/google-maps/search returns websites + phones; fan out to /scrape/web with extractEmails: true for full lead rows.
  • Crawler → corpus. crawler Scraper Job with outputFormat: ["markdown"] + includePaths: "/docs/.+" produces an LLM-ready corpus in one submission.
  • Pre-extracted via SERP rich snippets. knowledgeGraph, localResults, inlineShoppingResults, relatedQuestions carry pre-parsed facts that bypass anti-bot. Always check them before scraping.

When to call from code (the wiring)

  • Auth: x-api-key header on every request. Read from HASDATA_API_KEY env. Never hardcode, never log.
  • Timeouts: set client timeout ≥ 300 s. HasData's own deadline is 300 s; shorter clients produce phantom failures while still being billed on completion.
  • Retries: 429 and 5xx only — exponential backoff, jitter. Never retry 4xx (auth, validation).
  • Concurrency: cap at your plan limit. The free tier is 1; anything higher just generates 429s.
  • Async jobs: the submit response handle is body.id (integer), not jobId. Persist it immediately. Poll GET /scrapers/jobs/<id> every 10–30 s with backoff; treat webhooks as best-effort and always pair with polling. On finished the status carries data: {csv, json, xlsx} short-lived URLs — download immediately.

See references/code-recipes.md for ready-to-paste Python and TypeScript clients with retry, backoff, bounded concurrency, and the full job lifecycle.

Common gotchas

  • 300 s server deadline. Match client timeout.
  • Disable jsRendering first, enable only if the page needs it — most static pages parse fine without a headless browser.
  • No cookies parameter — cookies go through headers["Cookie"].
  • includePaths regex is case-sensitive. /blog/.+ won't match /Blog/....
  • Scraper Job data is double-wrapped. Each row is body.data[i].data; outer wraps with id, jobId, dataId, createdAt, updatedAt.
  • requestMetadata.status === "ok" is the only success signal. HTTP 200 alone isn't enough.
  • Webhooks are best-effort with 3 retries. Always have a polling fallback.

References

Resources

What ships with it: 10 files

55.4 KB alongside SKILL.md

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