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# Requests-Cache
[](https://github.com/reclosedev/requests-cache/actions/workflows/build.yml)
[](https://coveralls.io/github/reclosedev/requests-cache?branch=master)
[](https://requests-cache.readthedocs.io/en/latest/)
[](https://pypi.org/project/requests-cache)
[](https://pypi.org/project/requests-cache)
[](https://pypi.org/project/requests-cache)
[](https://www.codeshelter.co/)
## Summary
**requests-cache** is a transparent, persistent HTTP cache for the python [requests](http://python-requests.org)
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
## Features
* **Ease of use:** Use as a [drop-in replacement](https://requests-cache.readthedocs.io/en/latest/api.html#sessions)
for `requests.Session`, or [install globally](https://requests-cache.readthedocs.io/en/latest/user_guide.html#patching)
to add caching to all `requests` functions
* **Customization:** Works out of the box with zero config, but with plenty of options available
for customizing cache
[expiration](https://requests-cache.readthedocs.io/en/latest/user_guide.html#cache-expiration)
and other [behavior](https://requests-cache.readthedocs.io/en/latest/user_guide.html#cache-options)
* **Persistence:** Includes several [storage backends](https://requests-cache.readthedocs.io/en/latest/user_guide.html#cache-backends):
SQLite, Redis, MongoDB, GridFS, DynamoDB, and filesystem.
* **Compatibility:** Can be used alongside
[other popular libraries based on requests](https://requests-cache.readthedocs.io/en/latest/advanced_usage.html#library-compatibility)
# Quickstart
First, install with pip:
```bash
pip install requests-cache
```
Next, use [requests_cache.CachedSession](https://requests-cache.readthedocs.io/en/latest/api.html#sessions)
to send and cache requests. To quickly demonstrate how to use it:
**This takes ~1 minute:**
```python
import requests
session = requests.Session()
for i in range(60):
session.get('http://httpbin.org/delay/1')
```
**This takes ~1 second:**
```python
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:
```python
requests_cache.install_cache('demo_cache')
requests.get('http://httpbin.org/delay/1')
```
## Next Steps
To find out more about what you can do with requests-cache, see:
* The
[User Guide](https://requests-cache.readthedocs.io/en/latest/user_guide.html) and
[Advanced Usage](https://requests-cache.readthedocs.io/en/latest/advanced_usage.html) sections
* A working example at Real Python:
[Caching External API Requests](https://realpython.com/blog/python/caching-external-api-requests)
* More examples in the
[examples/](https://github.com/reclosedev/requests-cache/tree/master/examples) folder
|
