Youtube-Scraping-Slenium
requests-cache
Youtube-Scraping-Slenium | requests-cache | |
---|---|---|
1 | 7 | |
23 | 1,261 | |
- | 1.4% | |
1.8 | 8.6 | |
about 3 years ago | 21 days ago | |
Python | Python | |
- | BSD 2-clause "Simplified" License |
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Youtube-Scraping-Slenium
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Youtube Channel Dashboard | Selenium🤝🏼Dash
This is my project on Github: Prohozo/Youtube-Scraping-Slenium (github.com)
requests-cache
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Web Scraping with Python: from Fundamentals to Practice
For anyone who goes with requests as your HTTP client, I would highly recommend adding requests-cache for a nice performance boost.
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What does the process of web scraping actually look like?
The hardest part is actually running a web scraper at scale and that's where many people fail. We have all of the working pieces - we can find the products and parse the raw data. Time to scale it up! Best tip here is to start off with caching. Using caching libraries like requests-cache or whatever library equivalent will speed up process significantly.
- If I keep making URL requests in a forloop, is that harmful?
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Requests-Cache – An easy way to get better performance with the python requests library
And would you be willing to add some example Terraform config? If you wouldn't mind making a PR for that, it could go under the /examples folder.
What are some alternatives?
autoscraper - A Smart, Automatic, Fast and Lightweight Web Scraper for Python
aiohttp-client-cache - An async persistent cache for aiohttp requests
requests - A simple, yet elegant, HTTP library.
requests - A simple, yet elegant HTTP library. [Moved to: https://github.com/psf/requests]
notionSnapshot - notion web scraper
requests-html - Pythonic HTML Parsing for Humans™
Uplink - A Declarative HTTP Client for Python
parsel-cli - cli for evaluating css and xpath selectors
sqlite_http_csv - simulation kdb+ http behavior for sqlite.
cachew - Transparent and persistent cache/serialization powered by type hints
tmx-solver - ThreatMetrix (anti-bot/fraud-detection) solver, deobfuscator & data harvester
cachecontrol - The httplib2 caching algorithms packaged up for use with requests.