{"uid":"cap_zFu9WZr_Sc5-Sds26o851","slug":"clanker-banker-extract-deep-page-data-extractor-b03b81fe","name":"Clanker Banker Extract — Deep Page Data Extractor","description":"Free paywall co-pilot /v1/resolve. Paid llm-pack $0.005, clean $0.002, extract $0.01. x402 USDC on Base. No free trial. No hub.","url":"https://clanker-banker.agentfetcher.workers.dev/v1/extract","method":"GET","headers":{},"bodySchema":{"type":"object","properties":{"url":{"type":"string","description":"Public URL for deep extract: emails, phones, headings, meta, JSON-LD, markdown"},"noCache":{"type":"boolean","description":"Skip cache and re-fetch the page"}}},"responseSchema":{"type":"json","example":{"title":"Example Domain","emails":[],"phones":[],"headings":["Example Domain"],"markdown":"# Example Domain\n\n..."}},"example":null,"exampleRequest":null,"tags":["x402"],"displayCostAmount":"0.0075","displayCostAsset":"USDC","priceDynamic":false,"priceHint":null,"priceStatus":"priced","priceSource":"probe","requiresHandshake":false,"reviewCount":0,"rating":{"score":"0.00","successRate":"0.00","reviews":0,"stars":null,"state":"unrated"},"availabilityStatus":"unknown","priceObserved":null,"sessionDeposit":null,"pricing":{"kind":"static","summary":"$0.0075/call","primary":{"kind":"static","protocol":"x402","network":"base","amountUsd":"0.0075","per":"call","confidence":"exact"},"accepted":[{"kind":"static","protocol":"x402","network":"base","amountUsd":"0.0075","per":"call","confidence":"exact"}]},"paymentMethods":[{"uid":"pm_vgzNs1mGtom2QYOrPaD5L","protocol":"x402","methodType":"crypto","chain":"base","mode":"charge","costAmount":"0.0075","costPer":"request","priority":0,"asset":"0x833589fCD6eDb6E08f4c7C32D4f71b54bdA02913","unit":"request","depositMicros":null,"planRef":null}],"brandName":null,"brandSlug":null,"brandBaseUrl":null,"brandDocsUrl":null,"whatItDoes":"Extracts structured data from a public URL including emails, phone numbers, headings, metadata, JSON-LD, and markdown for $0.01 USDC via x402 on Base.","exampleAgentPrompt":"Can you extract all the emails, phone numbers, and headings from https://www.example.com — I need the full structured breakdown including any JSON-LD and a markdown version of the page?","exampleUseCases":[{"title":"Lead contact info harvesting","prompt":"Pull all emails and phone numbers from https://www.acmecorp.com/contact so I can add them to our CRM."},{"title":"Structured schema extraction","prompt":"Extract the JSON-LD and page metadata from https://www.restaurant.com/menu — I need to see what structured data they have published."},{"title":"Competitor page analysis","prompt":"Grab the headings and full markdown from https://www.competitor.com/pricing so I can analyze how they structure their pitch."}],"resultDescription":"Returns a JSON object containing the page title, arrays of extracted emails and phone numbers, a list of page headings, and a full markdown rendering of the page content, along with any JSON-LD structured data and meta tags found on the page.","failureModes":["URL is not publicly accessible — returns error or empty fields","Page blocks scraping bots — may return incomplete or empty data","Payment not processed via x402/USDC on Base — request rejected with 402","noCache not set and stale cached data returned — use noCache:true to force refresh","URL points to non-HTML content (PDF, image) — markdown/heading extraction may fail or be empty"],"whenToPreferThis":"Choose this endpoint when you need deep structured extraction from a single public URL — specifically when you need emails, phone numbers, headings, JSON-LD, and a markdown rendering all in one call. At $0.01 USDC per call it is the most comprehensive extraction tier on this service. Prefer the cheaper /v1/clean ($0.002) if you only need clean HTML, or /v1/llm-pack ($0.005) if you only need token-budgeted LLM-ready markdown. Use this endpoint when contact data or structured metadata are specifically required.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-09-15T06:35:38.737Z","isFirstParty":false}