commit | f67aac1b4001e4fcf69ceb35b9eeebceef027edd | [log] [tgz] |
---|---|---|
author | Jordan Cook <jordan.cook@pioneer.com> | Wed Sep 15 17:07:26 2021 |
committer | Jordan Cook <jordan.cook@pioneer.com> | Wed Sep 15 17:07:27 2021 |
tree | bcb24550f36892c872c5ef3fe5a7300a484bc5af | |
parent | ac86b9b36aec66dc1a9069f7e9ebee6c6591e2c4 [diff] |
Redact ingored_parameters from CachedResponse.url Backporting #409 for 0.7
requests-cache is a transparent, persistent HTTP cache for the python requests library. It‘s a convenient tool to use with web scraping, consuming REST APIs, slow or rate-limited sites, or any other scenario in which you’re making lots of requests that are expensive and/or likely to be sent more than once.
See full project documentation at: https://requests-cache.readthedocs.io
requests.Session
, or install globally to add caching to all requests
functionsFirst, install with pip:
pip install requests-cache
Next, use requests_cache.CachedSession to send and cache requests. To quickly demonstrate how to use it:
This takes ~1 minute:
import requests session = requests.Session() for i in range(60): session.get('http://httpbin.org/delay/1')
This takes ~1 second:
import requests_cache session = requests_cache.CachedSession('demo_cache') for i in range(60): session.get('http://httpbin.org/delay/1')
The URL in this example adds a delay of 1 second, simulating a slow or rate-limited website. With caching, the response will be fetched once, saved to demo_cache.sqlite
, and subsequent requests will return the cached response near-instantly.
If you don't want to manage a session object, requests-cache can also be installed globally:
requests_cache.install_cache('demo_cache') requests.get('http://httpbin.org/delay/1')
To find out more about what you can do with requests-cache, see: