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extractnet

172 9 10 MIT
2.0.7 (6 Nov 2022) Dec 11 2020 469 (month)

ExtractNet is an automated web data extraction tool using machine learning to parse HTML and text data.

This tool can be used in web scraping to automatically extract details from scraped HTML documents. While it's not as accurate as structured extraction using HTML parsing tools like CSS selectors or XPath it can still parse a lot of details.

Example Use


import requests
from extractnet import Extractor

raw_html = requests.get('https://currentsapi.services/en/blog/2019/03/27/python-microframework-benchmark/.html').text
results = Extractor().extract(raw_html)
{'phone_number': '555-555-5555', 'email': 'example@example.com'}

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