WebLens Smart Extraction API

x402

WebLens Smart Extraction API is a paid API for AI agents from api.weblens.dev, paid per call via x402, $0.035/call, status unknown (last checked 2026-10-03).

AI-powered smart data extraction from a web page URL using a natural language query, returning matched values with confidence scores and context

Price / call$0.035

Seller volume →—

Success—

StatusUnknown

How this service works

# WebLens - Web Intelligence API, pay per call Scrape, crawl, map and extract the web. No account, no API key, no monthly minimum — you pay for the calls you make and nothing else. ## Pricing Page fetching starts at **$0.002**, whole-site crawling at **$0.0015/page**, and sitemap discovery at **$0.004**. Comparable services bill $0.007-0.008 per request, or reach a lower per-page rate only on a $99/month commitment. WebLens has no commitment to reach. ## Payment Protocol All paid endpoints use the [x402 protocol](https://x402.org) for HTTP-native micropayments (USDC on Base). ## Cache Discount Cached responses are **70% cheaper** than fresh fetches.

Output

A JSON object containing the queried URL, an array of extracted data items each with a value, surrounding context, and confidence score (0–1), plus a natural-language explanation of what was found, a unique request ID, and an ISO timestamp of when extraction occurred.

Example use cases

Extract emails from contact page

“Go to https://acmecorp.com/contact and pull out every email address you find — include each one's confidence score and where on the page it appeared.”

Scrape product pricing from listing

“Visit https://shop.example.com/products/widget-pro and extract the current price and any discount information you can find on the page.”

Find team member names from About page

“Look at https://startup.io/about and find all the names and job titles of people listed on the page — I want to know who's on their leadership team.”

Technical details

Endpoint

POSThttps://api.weblens.dev/extract/smart?utm_source=zero.xyz

When to prefer

Use this endpoint when you need to extract specific, targeted information from a known URL using a natural language query rather than writing custom parsing logic. It is ideal when the target data type is semi-structured (emails, names, prices, links) and you want AI-interpreted results with confidence scoring. Prefer this over generic scrapers when you want query-guided extraction with contextual explanation rather than raw HTML dumps.

Side effects

URL is inaccessible, behind a login wall, or returns a non-200 status — extraction returns empty results or an error
Page is JavaScript-rendered and content not available at fetch time — may return incomplete data
Query is too ambiguous — low confidence scores or no matches returned
Rate limiting or payment failure via x402 — request rejected before processing
Page content changes between cached and live fetch — stale cache may return outdated values

Input

Schema · Request body

Field	Type	Description
url	string	URL of the webpage to extract from
query	string	Natural language description of what to extract
format	string	Output format: json or text (default: json)

Output

Schema · Response

{
  "type": "json",
  "example": {
    "url": "https://example.com/contact",
    "data": [
      {
        "value": "contact@example.com",
        "context": "Contact page footer",
        "confidence": 0.95
      }
    ],
    "query": "find all email addresses",
    "requestId": "req_smart789",
    "explanation": "Found 1 email address",
    "extractedAt": "2026-01-26T12:00:00.000Z"
  }
}

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