moto_scraper
Scrapy
| moto_scraper | Scrapy | |
|---|---|---|
| 1 | 180 | |
| 1 | 50,954 | |
| - | 0.7% | |
| 10.0 | 9.6 | |
| over 1 year ago | 2 days ago | |
| Python | Python | |
| - | BSD 3-clause "New" or "Revised" 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.
moto_scraper
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What have you automated using Python?
Here is github repo, I don't know if it will be useful. It is not documented at all, and specific to one site that I was scraping.
Scrapy
- Scrapy: A Fast and Powerful Scraping and Web Crawling Framework
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Seven Python Projects to Elevate Your Coding Skills
BeautifulSoup4 Scrapy
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What is SERP? Meaning, Use Cases and Approaches
While there is no specific library for SERP, there are some web scraping libraries that can do the Google Search Page Ranking. One of them which is quite famous is Scrapy - It is a fast high-level web crawling and web scraping framework, used to crawl websites and extract structured data from their pages. It offers rich developer community support and has been used by more than 50+ projects.
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Creating an advanced search engine with PostgreSQL
If you're looking for a turn-key solution, I'd have to dig a little. I generally write a scraper in python that dumps into a database or flat file (depending on number of records I'm hunting).
Scraping is a separate subject, but once you write one you can generally reuse relevant portions for many others. If you can get adept at a scraping framework like Scrapy you can do it fairly quickly, but there aren't many tools that work out of the box for every site you'll encounter.
Once you've written the spider, it's generally able to be rerun for updates unless the site code is dramatically altered. It really comes down to how brittle the spider is coded (i.e. hunting for specific heading sizes or fonts or something) instead of grabbing the underlying JSON/XHR that doesn't usually change frequently.
1. https://scrapy.org
- Turning webpages into pdf
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Implementing case sensitive headers in Scrapy (not through `_caseMappings`)
Scrapy capitalizes headers for request
- Dicas para projetos usando web scraping
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Best tools to use for web scraping ??
Scrapy is a web scraping toolkit
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What do .NET devs use for web scraping these days?
I know this might not be a good answer, as it's not .NET, but we use https://scrapy.org/ (Python).
- I'm using python to scrape web page content and extract keywords, how can I make it faster to process?
What are some alternatives?
pyTRS - A Python library for parsing real-world Public Land Survey System (PLSS) land descriptions (or "legal descriptions") for use in data analysis, GIS mapping, spreadsheets, etc.
requests-html - Pythonic HTML Parsing for Humans™
CoinMarketCap-scraper-new-tokens - This program written in Python enables the user to analyze based on the market cap the new tokens that are upload everyday on CoinMarketCap .
pyspider - A Powerful Spider(Web Crawler) System in Python.
sup-res - A great companion for finding key support and resistance levels on financial charts, cryptocurrencies.
colly - Elegant Scraper and Crawler Framework for Golang
photo-processing - Collection of scripts I use to postprocess photos
MechanicalSoup - A Python library for automating interaction with websites.
Nature-Poster - Grabs images and videos from Pexels API and posts them automatically to FB
playwright-python - Python version of the Playwright testing and automation library.
undetected-chromedriver - Custom Selenium Chromedriver | Zero-Config | Passes ALL bot mitigation systems (like Distil / Imperva/ Datadadome / CloudFlare IUAM)
pyppeteer - Headless chrome/chromium automation library (unofficial port of puppeteer)