This release is a pre-release and may not be stable for production use.
Summary
requests-cache is a persistent HTTP cache that provides an easy way to get better performance with the python requests library.
Complete project documentation can be found at requests-cache.readthedocs.io.
Features
- 🍰 Ease of use: Keep using the
requestslibrary you're already familiar with. Add caching with a drop-in replacement forrequests.Session, or install globally to add transparent caching to allrequestsfunctions. - 🚀 Performance: Get sub-millisecond response times for cached responses. When they expire, you still save time with conditional requests.
- 💾 Persistence: Works with several storage backends including SQLite, Redis, MongoDB, and DynamoDB; or save responses as plain JSON files, YAML, and more
- 🕗 Expiration: Use Cache-Control and other standard HTTP headers, define your own expiration schedule, keep your cache clutter-free with backends that natively support TTL, or any combination of strategies
- ⚙️ Customization: Works out of the box with zero config, but with a robust set of features for configuring and extending the library to suit your needs
- 🧩 Compatibility: Can be combined with other popular libraries based on requests
Quickstart
First, install with pip:
pip install requests-cache
Then, use requests_cache.CachedSession to make your requests. It behaves like a normal requests.Session, but with caching behavior.
To illustrate, we'll call an endpoint that adds a delay of 1 second, simulating a slow or rate-limited website.
This takes 1 minute:
import requests
session = requests.Session()
for i in range(60):
session.get('https://httpbin.org/delay/1')
This takes 1 second:
import requests_cache
session = requests_cache.CachedSession('demo_cache')
for i in range(60):
session.get('https://httpbin.org/delay/1')
With caching, the response will be fetched once, saved to demo_cache.sqlite, and subsequent
requests will return the cached response near-instantly.
Patching: If you don't want to manage a session object, or just want to quickly test it out in your application without modifying any code, requests-cache can also be installed globally, and all requests will be transparently cached:
import requests
import requests_cache
requests_cache.install_cache('demo_cache')
requests.get('https://httpbin.org/delay/1')
Settings: The default settings work well for most use cases, but there are plenty of ways to customize caching behavior when needed. Here is a quick example of some of the options available:
from datetime import timedelta
from requests_cache import CachedSession
session = CachedSession(
'demo_cache',
use_cache_dir=True, # Save files in the default user cache dir
cache_control=True, # Use Cache-Control response headers for expiration, if available
expire_after=timedelta(days=1), # Otherwise expire responses after one day
allowable_codes=[200, 400], # Cache 400 responses as a solemn reminder of your failures
allowable_methods=['GET', 'POST'], # Cache whatever HTTP methods you want
ignored_parameters=['api_key'], # Don't match this request param, and redact if from the cache
match_headers=['Accept-Language'], # Cache a different response per language
stale_if_error=True, # In case of request errors, use stale cache data if possible
)
Next Steps
To find out more about what you can do with requests-cache, see:
3 maintainers
Metadata
3 maintainers
Release files for requests-cache 1.0.0b1
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
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| requests_cache-1.0.0b1.tar.gz | 2.7 MB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| requests_cache-1.0.0b1-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 2.8 MB
Release files / requests_cache-1.0.0b1.tar.gz
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