sqlite_http_csv
requests-cache
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| sqlite_http_csv | requests-cache | |
|---|---|---|
| 1 | 7 | |
| 0 | 1,254 | |
| - | 1.9% | |
| 0.0 | 8.7 | |
| over 2 years ago | 7 days ago | |
| Tcl | Python | |
| - | BSD 2-clause "Simplified" License |
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sqlite_http_csv
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?
kdb - Companion files to kdb+ and q
aiohttp-client-cache - An async persistent cache for aiohttp requests
dbeaver - Free universal database tool and SQL client
requests - A simple, yet elegant, HTTP library.
requests - A simple, yet elegant HTTP library. [Moved to: https://github.com/psf/requests]
TypeORM - ORM for TypeScript and JavaScript. Supports MySQL, PostgreSQL, MariaDB, SQLite, MS SQL Server, Oracle, SAP Hana, WebSQL databases. Works in NodeJS, Browser, Ionic, Cordova and Electron platforms.
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
cachew - Transparent and persistent cache/serialization powered by type hints