# Web Scraping

## News Scraping

* [newscatcherapi](https://newscatcherapi.com/get-started)
  * [Introduction–API Reference](https://free-docs.newscatcherapi.com/?python#introduction)
* [codelucas/newspaper: News, full-text, and article metadata extraction in Python 3. Advanced docs:](https://github.com/codelucas/newspaper)

## Web scraping

* [Web scraping 2021](https://mihaisplace.blog/2021/10/03/the-state-of-web-scraping-in-2021/)

## Web Scraping dan Data Mining

* [Automatio - No-code Web Automation Tool](https://automatio.co/)
* [Orange Data Mining - Data Mining](https://orangedatamining.com/)

## Web Scraping

* [Browserflow - Web Scraping & Web Automation](https://browserflow.app/)
* [Web Scraper - The #1 web scraping extension](https://webscraper.io/)
* [Simplescraper — Scrape Websites and turn them into APIs](https://simplescraper.io/)
* [MrScraper — A hassle-free web scraper to extract without getting blocked](https://mrscraper.com/)


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# Agent Instructions: Querying This Documentation

If you need additional information that is not directly available in this page, you can query the documentation dynamically by asking a question.

Perform an HTTP GET request on the current page URL with the `ask` query parameter:

```
GET https://irosyadi.gitbook.io/irosyadi/hacking/web-scraping.md?ask=<question>
```

The question should be specific, self-contained, and written in natural language.
The response will contain a direct answer to the question and relevant excerpts and sources from the documentation.

Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.