alirezamika/autoscraper

A Smart, Automatic, Fast and Lightweight Web Scraper for Python

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README & documentation

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This project is made for automatic web scraping to make scraping easy. It gets a url or the html content of a web page and a list of sample data which we want to scrape from that page. This data can be text, url or any html tag value of that page. It learns the scraping rules and returns the similar elements. Then you can use this learned object with new urls to get similar content or the exact same element of those new pages. It's compatible with python 3. Say we want to fetch all related post titles in a stackoverflow page: Here's the output: Now you can use the scraper object to get related topics of any stackoverflow page: Say we want to scrape live stock prices from yahoo finance: Note that you should update the wantedlist if you want to copy this code, as the content of…

alirezamika/autoscraper on GitHub A short preview, not the full document.

Read the full README ↗ · Preview checked 2026-10-27T21:32:47.402Z

Inside the original README — Document outline
  1. AutoScraper: A Smart, Automatic, Fast and Lightweight Web Scraper for Python
  2. Installation
  3. How to use
  4. Getting similar results
  5. Getting exact result
  6. Saving the model
  7. Tutorials
  8. Issues
  9. Support the project
  10. Happy Coding ♥️

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Documentation belongs to its respective authors. Reported project/model license: MIT. A listing is not a grant of reuse or training rights. Confirm the document’s own terms at the source.

What this repository does

A Smart, Automatic, Fast and Lightweight Web Scraper for Python

Repository facts

Owner
alirezamika
Primary language
Python
Stars
8,067
Forks
833
Open issues + pull requests
2
License
MIT
Archived
No
Default branch
master
Created
2020-08-31T12:02:19.000Z
Last push
2026-07-29T17:17:55.000Z

Topics and intended use

Owner-supplied topics: ai, artificial-intelligence, automation, crawler, machine-learning, python, scrape, scraper, scraping, web-scraping, webautomation, webscraping

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Source: GitHub. Metadata observed 2026-11-01T13:20:54.848Z. Daily imports are snapshots, not real-time monitoring.

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