web.markdown

curl "https://api.onekey.dev/v1/web/markdown?url=https%3A%2F%2Fen.wikipedia.org%2Fwiki%2FWeb_scraping" \
  -H "x-api-key: YOUR_API_KEY"

{
  "success": true,
  "data": {
    "content": {
      "title": "Web scraping - Wikipedia",
      "text": "# Web scraping\n\nFrom Wikipedia, the free encyclopedia\n\nFor broader coverage of this topic, see [Data scraping](https://en.wikipedia.org/wiki/Data_scraping).\n\n\"Web scraper\" redirects here. For websites that scrape content, see [Scraper site](https://en.wikipedia.org/wiki/Scraper_site).\n\n|  | This article needs more citations. Please help improve this article by adding citations to reliable sources. Unsourced material may be challenged and removed.Find sources: \"Web scraping\" – news · newspapers · books · scholar · JSTOR (April 2023) (Learn how and when to remove this message) |\n| --- | --- |\n\n**Web scraping**, **web harvesting**, or **web data extraction** is [data scraping](https://en.wikipedia.org/wiki/Data_scraping) used for [extracting data](https://en.wikipedia.org/wiki/Data_extraction) from [websites](https://en.wikipedia.org/wiki/Website).[1] Web scraping software may directly access the [World Wide Web](https://en.wikipedia.org/wiki/World_Wide_Web) using the [Hypertext Transfer Protocol](https://en.wikipedia.org/wiki/Hypertext_Transfer_Protocol) or a web browser. While web scraping can be done manually by a software user, the term typically refers to automated processes implemented using a [bot](https://en.wikipedia.org/wiki/Internet_bot) or [web crawler](https://en.wikipedia.org/wiki/Web_crawler). It is a form of copying in which specific data is gathered and copied from the web, typically into a central local [database](https://en.wikipedia.org/wiki/Database) or [spreadsheet](https://en.wikipedia.org/wiki/Spreadsheet), for later [retrieval](https://en.wikipedia.org/wiki/Data_retrieval) or [analysis](https://en.wikipedia.org/wiki/Data_analysis).\n\nScraping a web page involves fetching it and then extracting data from it. Fetching is the downloading of a page (which a browser does when a user views a page). Therefore, web crawling is a main component of web scraping, to fetch pages for later processing. Having fetched, extraction can take place. The content of a page may be [parsed](https://en.wikipedia.org/wiki/Parsing), searched and reformatted, and its data copied into a spreadsheet or loaded into a database. Web scrapers typically take something out of a page, to make use of it for another purpose somewhere else. An example would be finding and copying names and telephone numbers, companies and their URLs, or e-mail addresses to a list (contact scraping). Another example is collecting competitors product prices for marketing purposes, which can involve gathering large-scale pricing datasets from e-commerce websites and analysing them using data science techniques such as trend analysis, predictive modelling, and competitive benchmarking.\n\n[Contact scraping](https://en.wikipedia.org/wiki/Contact_scraping) is a type of web scraping that is used as a component of applications used for [web indexing](https://en.wikipedia.org/wiki/Web_indexing), [web mining](https://en.wikipedia.org/wiki/Web_mining) and [data mining](https://en.wikipedia.org",
      "url": "https://en.wikipedia.org/wiki/Web_scraping",
      "language": "en",
      "createdAt": "2005-09-17T18:57:30Z"
    },
    "author": {
      "displayName": "Contributors to Wikimedia projects"
    },
    "entity": {
      "name": null
    },
    "ext": {
      "wordCount": 6206,
      "readingTimeMinutes": 29,
      "excerpt": "Web scraping From Wikipedia, the free encyclopedia For broader coverage of this topic, see Data scraping. \"Web scraper\" redirects here. For websites that scrape content, see Scraper site. This article needs more citations. Please help improve this article by adding citations to reliable sources. Uns"
    },
    "media": {
      "url": null
    }
  },
  "metadata": {
    "platform": "web",
    "endpoint": "markdown",
    "cached": false,
    "stale": false,
    "age_s": 0,
    "fetched_at": "2026-01-01T12:00:00+00:00",
    "credits_charged": 2,
    "request_id": "7f3a9c2e5b1d4c8fa2e6d0b9c4f18e37"
  },
  "error": null
}