autoscraper
wtf_wikipedia
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| autoscraper | wtf_wikipedia | |
|---|---|---|
| 9 | 1 | |
| 5,943 | 743 | |
| - | - | |
| 0.0 | 8.0 | |
| 12 months ago | 14 days ago | |
| Python | JavaScript | |
| MIT License | MIT License |
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autoscraper
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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
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Could someone recommend me a library for c# like one of these two (they are for python) : mlscraper and autoscraper
GitHub - alirezamika/autoscraper: A Smart, Automatic, Fast and Lightweight Web Scraper for Python
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Best python modules for scraping HTML?
Not a library but a decent program to not reinvent the wheel I'm currently adding regular selector lookups back into it https://github.com/alirezamika/autoscraper
- A Smart, Automatic, Fast and Lightweight Web Scraper for Python
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Scrapping - How to deal with page changes Ai
It depends on the website, but autoscraper was used to calculate similar nodes given the text to search. Not sure how it works now but it's open source.
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ML/AI in web scraping
Should check out this for method 1.
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Turn Any Website Into An API with AutoScraper and FastAPI
In this article, we will learn how to create a simple e-commerce search API with multiple platform support: eBay and Amazon. AutoScraper and FastAPi provide the ability to create a powerful JSON API for the date. With Playwright's help, we'll extend our scraper and avoid blocking by using ScrapingAnt's web scraping API.
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Do I really need to customize a scaper for every input page URL?
Maybe you could try out this tool never used it myself https://github.com/alirezamika/autoscraper Or you would need to train a neural network which does the parsing for you but the accuracy won't be 100% with this method https://github.com/scrapy/scrapely To answer your question there is no way to write one program which scrapes different pages correctly because their structure is not the same and some of them probably will have protection which will block your scraper so that would need extra attention or additional code
wtf_wikipedia
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Experimental library for scraping websites using OpenAI's GPT API
This may finally be a solution for scraping wikipedia and turning it into structured data. (Or do we even need structured data in the post-AI age?)
Mediawiki is notorious for being hard to parse:
* https://github.com/spencermountain/wtf_wikipedia#ok-first- - why it's hard
* https://techblog.wikimedia.org/2022/04/26/what-it-takes-to-p... - an entire article about parsing page TITLES
* https://osr.cs.fau.de/wp-content/uploads/2017/09/wikitext-pa... - a paper published about a wikitext parser
What are some alternatives?
blinkist-scraper - 📚 Python tool to download book summaries and audio from Blinkist.com, and generate some pretty output
sdow - Six Degrees of Wikipedia
cloudflare-scrape - A Python module to bypass Cloudflare's anti-bot page.
anon - tweet about anonymous Wikipedia edits from particular IP address ranges
Mobile-Phone-Dataset-GSMArena - Python script for creating Mobile Phones Dataset on GSMArena website.
duckling - Language, engine, and tooling for expressing, testing, and evaluating composable language rules on input strings.
scrapingant-client-python - ScrapingAnt API client for Python.
scrapeghost - 👻 Experimental library for scraping websites using OpenAI's GPT API.
pycraigslist - Craigslist API wrapper
readability - A standalone version of the readability lib
leetcode-compensation - Compensation analysis of leetcode.com/discuss/compensation.
viviner - 🍷 Scraps data from Vivino and collects outstanding wine-based meta-data.