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307,018 tools. Last updated 2026-07-28 02:49

"Creating Web Scraping Tools for Extracting Data from Websites" matching MCP tools:

  • MUTATES Olark data: creates a new operator (chat agent). Olark API: POST /operators (JSON). Required: email and password; nickname (display name) optional. NOTE: creating an operator CONSUMES A PAID SEAT (billing side effect). Returns the created operator.
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  • Preview the account owner's saved business-list campaign. Returns public company websites, employee-count confidence, source receipts, and next actions for manual review. Read-only by default: it does not persist companies unless persist_results is explicitly true and never scrapes LinkedIn.
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  • Pull every open role a company is hiring for from its public job board (Greenhouse, Lever, Ashby) and turn it into a buying/expansion signal: role count, which functions are growing (sales, engineering, marketing), remote share and what's new. No login, no scraping, no proxies. — $0.01/call, x402 (USDC on base).
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    Provides local web search and content fetching capabilities for AI assistants, enabling them to search DuckDuckGo and extract clean text from web pages. All requests originate from the user's machine to ensure direct network control and bypass external proxies.
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  • 40+ web scraping tools from Firecrawl, Bright Data, Jina, Olostep, ScrapeGraph, Notte, and Riveter. Scrape, crawl, screenshot, and extract from any website. Starts at $0.01/call. Get your API key at app.xpay.sh or xpay.tools

  • Generic URL crawl + HTML extraction — fallback for sites without dedicated MCPs.

  • Track recent tech layoffs by company name or sector (e.g. "fintech", "AI") straight from Google News — a demand and recruiting signal. No login, no scraping, no proxies. Returns matched headlines, mention count and a one-line summary per query. — $0.01/call, x402 (USDC on base).
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  • Add one or more API endpoints to an HTTP-API integration as callable tools, merged additively into the integration for `base_url` (created if none exists). Each endpoint becomes a tool with params + request/response schemas inferred from the samples you pass. When CREATING a new integration, provide auth: either `identity` (saved Browser Identity name/id) for cookie-session APIs, OR an `auth` block for token/header APIs, e.g. {type:'bearer', token:'...'} or {type:'api_key', token:'...', header_name:'X-API-Key'}. Updates keep the existing auth unless a new `auth` is passed. Returns the new tool count and names. Refresh the tools list afterwards to use them.
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  • Get the active pricing model for this operator. Free. If no model exists, self-initializes a scaffold with all registered tools at 0 sats. No economic data from code.
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  • View grants made by a funder across IRS, web-extracted, and registry records. Merges five stores. **(1) IRS 990-PF filings** — structured grant lines from the ~143K US private foundations that file 990s, keyed by EIN. **(2) Web-extracted grant records** — our enrichment pipeline crawls funder websites and an LLM extracts their grant lists. This second store covers ~15K additional US foundations AND ~17K non-990 funders (European foundations, US community foundations, DAFs, corporate giving programs). **(3) 360Giving** UK GrantNav rows, **(4) CRA T3010** Canadian rows, and **(5) ACRI** Italian banking-foundation erogazioni are structured registry sources with original-currency amounts preserved. Use this for ANY funder when the user asks about grants given, including European funders without an EIN (pass ``funder_id`` instead of ``ein``). Each row in the response carries a ``source`` field (``"990"`` for IRS data, ``"discovered_web"`` for crawled, plus ``"360giving"``, ``"t3010"``, and ``"acri"`` for structured registries). When web-extracted rows for a funder lack captured amounts (common for European funders that publish PDFs rather than open data), the response includes an ``amount_coverage_note`` in ``data_quality`` — surface that caveat in your reply. Note: ``recipient_country`` reflects the recipient organization's HQ country (where the grantee is registered), not necessarily where the program work is implemented.
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  • Get comprehensive giving statistics for a funder. This tool calculates aggregate statistics about a funder's grantmaking from IRS 990-PF data, web-extracted grant records, 360Giving rows, CRA T3010 rows, and ACRI rows. It provides lifetime totals, focus areas, geographic distribution, and year-over-year trends. Pass ``ein`` for US 990 foundations, or ``funder_id`` (bare UUID / ``n9f:<uuid>``) for non-990 funders.
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  • Analyse a palette of hex colours against the Colour Memory archive. For each colour returns the nearest named archive entry with cultural name, source, claim_strength (A-E), do_not_say guardrails, and alternatives when confidence is low. Palette-level deduplication ensures no two colours map to the same archive entry. Use after extracting colours from a photo or generating a palette.
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  • Detect website technology stack: CMS, frameworks, CDN, analytics tools, web servers, languages (via HTTP headers + HTML analysis). Use for passive reconnaissance; for full audit use audit_domain. Free: 30/hr, Pro: 500/hr. Returns {technologies: [{name, category, confidence%, version}]}.
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  • Fetch a web page and return structured content: title, meta/OpenGraph, canonical, headings, links, readable text (boilerplate stripped). Add ?render=true for JavaScript-rendered pages ($0.03). Paid per call: $0.01 ($0.03 Execute JavaScript with Cloudflare Browser Run before extracting content.) in USDC via x402.
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  • Get an exact ZAR price for a product at specific dimensions. Requires product_id (from search_products or lookup_catalog), width_mm, and height_mm. Returns unit_price_zar and total_price_zar (VAT included). Call configure_product next to lock in colour and mount type before creating a cart.
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  • List available gameplay videos for split-screen overlays (content top, game bottom). Use the exact gameVideoName when creating shorts.
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  • Read a webpage's full content as clean markdown. Use after web_search_exa when highlights are insufficient or to read any URL. Best for: Extracting full content from known URLs. Batch multiple URLs in one call. Returns: Clean text content and metadata from the page(s).
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