WebLens Extract API

x402

WebLens Extract API is a paid API for AI agents from api.weblens.dev, paid per call via x402, $0.03/call, status unknown (last checked 2026-10-01).

Extracts structured data fields from a given URL using AI-powered web scraping

Price / call$0.03

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

Returns a JSON object containing the extracted structured data fields from the target URL, along with a unique request ID and an ISO timestamp of when the extraction occurred. The data object contains the specific fields requested (e.g. name, price, inStock status).

Example use cases

E-commerce price monitoring

“Pull the current price, product name, and stock status from this Amazon listing: https://amazon.com/dp/B09XYZ — I want it as clean structured data.”

Competitor research data collection

“Scrape https://competitor.com/pricing and extract all the plan names and their prices so I can compare them to ours.”

Real estate listing extraction

“Go to https://zillow.com/homedetails/123-main-st and extract the listing price, number of bedrooms, bathrooms, and square footage as structured JSON.”

Technical details

Endpoint

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

When to prefer

Choose this endpoint when you need to extract specific structured fields from a known URL into clean JSON, especially for e-commerce product pages, pricing pages, or any web content where you want targeted data points rather than raw HTML. It is preferable over generic HTTP fetch when you need AI-powered field identification and structuring. The caching discount (70% cheaper) makes it cost-effective for repeatedly accessed URLs.

Side effects

URL is unreachable or returns a non-200 HTTP status — extraction fails with an error response
Target page uses heavy JavaScript rendering that prevents content access
Requested fields are not present on the page — returns null or missing keys
Rate limiting or bot protection on the target site blocks the request
Malformed or invalid URL input causes a 4xx client error
Page content has changed structure since last cached response, causing stale data

Input

Schema · Request body

Field	Type	Description
url	string	URL of the webpage to extract from
schema	object	JSON schema defining the data structure to extract
instructions	string	Natural language instructions to guide extraction

Output

Schema · Response

{
  "type": "json",
  "example": {
    "url": "https://example.com/product",
    "data": {
      "name": "Product Name",
      "price": 99.99,
      "inStock": true
    },
    "requestId": "req_extract789",
    "extractedAt": "2026-01-26T12:00:00.000Z"
  }
}

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