scrapingant-client-python
mlscraper
scrapingant-client-python | mlscraper | |
---|---|---|
1 | 10 | |
31 | 1,229 | |
- | - | |
2.8 | 0.6 | |
9 months ago | about 2 months ago | |
Python | Python | |
- | - |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
scrapingant-client-python
-
We've updated our scraping API docs. Do you like or hate it? Thanks in advance for the comments!
Hello. In order to our previous conversation: We've created a python client library for our API: https://github.com/ScrapingAnt/scrapingant-client-python So you can check it out. Scrapy plugin is still under development. I'll keep you posted. Thanks for the interest :-)
mlscraper
-
What are the best tools for web scraping and analysis of natural language to populate a dataset?
See if something like autoscraper or mlscraper suits your needs.
-
Experimental library for scraping websites using OpenAI's GPT API
Why GPT-based then? There are libraries that do this: You give examples, they generate the rules for you and give you a scraper object that takes any html and returns the scraped data.
Mine: https://github.com/lorey/mlscraper
-
Could someone recommend me a library for c# like one of these two (they are for python) : mlscraper and autoscraper
GitHub - lorey/mlscraper: ๐ค Scrape data from HTML websites automatically by just providing examples
-
Smart Scraper
Check it out here: https://github.com/lorey/mlscraper Example: https://github.com/lorey/mlscraper/blob/master/examples/quotes\_to\_scrape.py
- Pre-trained Webscraping Models
- ๐ค Scrape data from HTML websites automatically by just providing examples
- mlscraper: Scrape data from HTML pages automatically with Machine Learning
-
Show HN: RSS feeds for arbitrary websites using CSS selectors
In case anyone wants to detect the selectors automatically, here's a small python library I wrote that does it for you: https://github.com/lorey/mlscraper
What are some alternatives?
autoscraper - A Smart, Automatic, Fast and Lightweight Web Scraper for Python
ttrss_plugin-feediron - Evolution of ttrss_plugin-af_feedmod
scrapy-proxycrawl-middleware - Scrapy middleware interface to scrape using ProxyCrawl proxy service
furss - Fix Up RSS (and atom): Make full-text versions of rss/atom feeds
GoodreadsScraper - Scrape data from Goodreads using Scrapy and Selenium :books:
feed-me-up-scotty
trafilatura - Python & command-line tool to gather text on the Web: web crawling/scraping, extraction of text, metadata, comments
rssify - Tool that generates an rss feed out of websites that don't have one
Rcrawler - An R web crawler and scraper
RSSHub - ๐งก Everything is RSSible
HomeHarvest - Python package for real estate scraping of MLS listing data
feedgen - Generates RSS/ATOM/JSON feeds. Can be reasonably extended or create a feed using the CSS generator.