viviner
autoscraper
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| viviner | autoscraper | |
|---|---|---|
| 1 | 9 | |
| 46 | 5,937 | |
| - | - | |
| 2.4 | 0.0 | |
| 7 months ago | 12 months ago | |
| Python | Python | |
| GNU General Public License v3.0 only | MIT License |
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viviner
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For Wine Lovers - I scraped wine data from Everly Wine Shop and compared it with Vivino ratings
Used python to scrape data from Everly (https://wineshop.theeverly.ca/), and used this person's Vivino data scraper to cross reference. https://github.com/gugarosa/viviner
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?
scrapy-fake-useragent - Random User-Agent middleware based on fake-useragent
blinkist-scraper - 📚 Python tool to download book summaries and audio from Blinkist.com, and generate some pretty output
WikiMapper - Create maps of wiki links on how they interconnect with each other.
cloudflare-scrape - A Python module to bypass Cloudflare's anti-bot page.
Mobile-Phone-Dataset-GSMArena - Python script for creating Mobile Phones Dataset on GSMArena website.
scrapingant-client-python - ScrapingAnt API client for Python.
pycraigslist - Craigslist API wrapper
readability - A standalone version of the readability lib
leetcode-compensation - Compensation analysis of leetcode.com/discuss/compensation.
fastapi - FastAPI framework, high performance, easy to learn, fast to code, ready for production
extractnet - A fork of Dragnet that also extract author, headline, date, keywords from context, as well as built in metadata extraction all in one package
fansly-downloader - Easy to use fansly.com content downloading tool. Written in python, but ships as a standalone Executable App for Windows too. Enjoy your Fansly content offline anytime, anywhere in the highest possible content resolution! Fully customizable to download in bulk or single: photos, videos & audio from timeline, messages, collection & specific posts 👍