GMaps-Crawler
mlscraper
GMaps-Crawler | mlscraper | |
---|---|---|
5 | 10 | |
70 | 1,229 | |
- | - | |
5.3 | 0.6 | |
over 2 years ago | about 2 months ago | |
Python | Python | |
GNU General Public License v3.0 only | - |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
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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.
GMaps-Crawler
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GMaps-Crawler VS google-maps-scraper - a user suggested alternative
2 projects | 14 May 2023
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Organize Python code like a PRO
This is a valid point! My example was too simple. In the reality, the code I used as inspiration is OOP https://github.com/guilatrova/GMaps-Crawler/blob/main/src/gmaps_crawler/storages.py . I'll make sure to improve this section.
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Python using Selenium to crawl data from Google Maps
The source code is here: https://github.com/guilatrova/gmaps-crawler
- Python Google Maps crawler using Selenium
- Show HN: Python Crawler for Google Maps
mlscraper
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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.
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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
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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 - lorey/mlscraper: π€ Scrape data from HTML websites automatically by just providing examples
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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
- π€ Scrape data from HTML websites automatically by just providing examples
- mlscraper: Scrape data from HTML pages automatically with Machine Learning
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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?
google-maps-scraper - scrape data data from Google Maps. Extracts data such as the name, address, phone number, website URL, rating, reviews number, latitude and longitude, reviews,email and more for each place
scrapingant-client-python - ScrapingAnt API client for Python.
ttrss_plugin-feediron - Evolution of ttrss_plugin-af_feedmod
furss - Fix Up RSS (and atom): Make full-text versions of rss/atom feeds
feed-me-up-scotty
rssify - Tool that generates an rss feed out of websites that don't have one
RSSHub - 𧑠Everything is RSSible
feedgen - Generates RSS/ATOM/JSON feeds. Can be reasonably extended or create a feed using the CSS generator.
scrapy-proxycrawl-middleware - Scrapy middleware interface to scrape using ProxyCrawl proxy service
rssify - script that generates an rss feed out of websites that don't have one
sneakpeek - Sneakpeek is a framework that helps to quickly and conviniently develop scrapers. Itβs the best choice for scrapers that have some specific complex scraping logic that needs to be run on a constant basis
autoscraper - A Smart, Automatic, Fast and Lightweight Web Scraper for Python