---
title: AI-ready Clean Data Extractor API
slug: webpage-extractor-api
url: https://apyhub.com/apyhub/service/webpage-extractor-api
provider: ApyHub
categories: [Data Extraction, SEO]
tags: [web-scraping, page-extraction, content-parsing, html-extraction, article-extraction]
auth: api_key
---

# AI-ready Clean Data Extractor API

Extract title, links, images, tables, headings, sections, and page metadata from a webpage URL. Useful for crawlers, content pipelines, and search indexing.

## Endpoints

| Method | Path | Description | Atoms |
| --- | --- | --- | --- |
| POST | `` | What it does Extracts structured content from a webpage given its URL and returns a JSON object con… | 50 |

## About

## What it does
Webpage Extractor turns a webpage URL into structured page data. Send an HTTP or HTTPS URL, and get back the page title plus extracted links, images, tables, headings, sections, summary text, and page metadata.

Use it when you need to pull content from articles, documentation pages, or product pages without hand-parsing HTML. The response also includes link classification, so you can separate internal and external URLs, and a quality object with a score and warnings to help you spot pages that were only partially extracted.

The output is built for downstream automation: page_type helps you route the result, published_date can support freshness checks, and content_markdown, clean_markdown, or raw_markdown give you different levels of normalized page text depending on your workflow. author and category are included when they can be identified.

If you are building a content pipeline, a crawler, a search indexer, or a knowledge base importer, Webpage Extractor gives you a single structured response from a page URL.

## Usage

Authenticate with an ApyHub API key in the `apy-token` header.
Full docs and a live playground: https://apyhub.com/apyhub/service/webpage-extractor-api