zarr-python
Scrapy
| zarr-python | Scrapy | |
|---|---|---|
| 2 | 182 | |
| 1,346 | 51,132 | |
| 2.2% | 1.0% | |
| 9.1 | 9.6 | |
| 4 days ago | 3 days ago | |
| Python | Python | |
| MIT License | 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.
zarr-python
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COMTiles (Cloud Optimized Map Tiles) hosted on Amazon S3 and Visualized with MapLibre GL JS
Zarr
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What is your favorite ,most underrated 3rd party python module that made your programming 10 times more easier and less code ? so we can also try that out :-) .as a beginner , mine is pyinputplus
Not so underrated but not so commonplace either: Zarr
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?
Flask - The Python micro framework for building web applications.
requests-html - Pythonic HTML Parsing for Humans™
better-exceptions - Pretty and useful exceptions in Python, automatically.
pyspider - A Powerful Spider(Web Crawler) System in Python.
ome-zarr-py - Implementation of next-generation file format (NGFF) specifications for storing bioimaging data in the cloud.
colly - Elegant Scraper and Crawler Framework for Golang
com-tiles - Streamable and read optimized file archive for hosting map tiles at global scale on a cloud object storage
MechanicalSoup - A Python library for automating interaction with websites.
Sentry - Developer-first error tracking and performance monitoring
playwright-python - Python version of the Playwright testing and automation library.
geoparquet - Specification for storing geospatial vector data (point, line, polygon) in Parquet
undetected-chromedriver - Custom Selenium Chromedriver | Zero-Config | Passes ALL bot mitigation systems (like Distil / Imperva/ Datadadome / CloudFlare IUAM)