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autoscrapervsgerapy

MIT 11 2 5,894
3.9 thousand (month) Jul 26 2019 1.1.14(1 year, 8 months ago)
3,199 4 64 MIT
0.9.13(8 months ago) Jul 04 2017 545 (month)

Autoscraper 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.

Autoscraper is minimalistic and auto-generative approach to web scraping. For example, here's a scraper that finds all titles on a stackoverflow.com page:

from autoscraper import AutoScraper

url = 'https://stackoverflow.com/questions/2081586/web-scraping-with-python'

# We can add one or multiple candidates here.
# You can also put urls here to retrieve urls.
wanted_list = ["What are metaclasses in Python?"]

scraper = AutoScraper()
result = scraper.build(url, wanted_list)
print(result)

Gerapy is a Distributed Crawler Management Framework Based on Scrapy, Scrapyd, Scrapyd-Client, Scrapyd-API, Django and Vue.js.

It is built on top of the Scrapy framework and provides a simple and easy-to-use interface for performing web scraping tasks. Gerapy also includes features such as support for scheduling and distributed crawling, as well as a built-in web-based dashboard for monitoring and managing scraping tasks. Additionally, Gerapy is designed to be highly extensible, allowing users to easily create custom plugins and integrations.

Overall, Gerapy is a useful tool for those looking to automate web scraping tasks and extract data from websites.

Highlights


popularminimalisticauto-generating

Example Use


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