GoodreadsScraper
autoscraper
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| GoodreadsScraper | autoscraper | |
|---|---|---|
| 1 | 9 | |
| 115 | 5,937 | |
| - | - | |
| 0.0 | 0.0 | |
| 6 months ago | 12 months ago | |
| Python | Python | |
| MIT License | MIT License |
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.
GoodreadsScraper
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[OC] Top 10 Fantasy Books of the 21st Century According to GoodReads
Used this code to get the data: https://github.com/havanagrawal/GoodreadsScraper
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
What are some alternatives?
telegram-groups-crawler - A Telegram crawler made in Python to automatically search groups and channels and collect any type of data from them (+ dataset included).
blinkist-scraper - 📚 Python tool to download book summaries and audio from Blinkist.com, and generate some pretty output
OpenWPM - A web privacy measurement framework
cloudflare-scrape - A Python module to bypass Cloudflare's anti-bot page.
scrapingant-client-python - ScrapingAnt API client for Python.
Mobile-Phone-Dataset-GSMArena - Python script for creating Mobile Phones Dataset on GSMArena website.
Ultimate-Python-Resource-Hub - The Ultimate resource hub of Python: All at one place
webscraping-from-0-to-hero - The web scraping open project repository aims to share knowledge and experiences about web scraping with Python
pycraigslist - Craigslist API wrapper
py_webScraper - A simple web scraper using beautifulsoup and requests
readability - A standalone version of the readability lib