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Newscatcher Python Library
The Newscatcher Python library provides convenient access to the Newscatcher APIs from Python.
Table of Contents
- Documentation
- Installation
- Reference
- Usage
- Environments
- Async Client
- Exception Handling
- Retrieving More Articles
- Query Validation
- Advanced
- Contributing
Documentation
API reference documentation is available here.
Installation
pip install newscatcher-sdk
Reference
A full reference for this library is available here.
Usage
Instantiate and use the client with the following:
from newscatcher import NewscatcherApi
client = NewscatcherApi(
api_key="<value>",
)
client.search.post(
q="\"supply chain\" AND Amazon NOT China",
page_size=1,
)
Environments
This SDK allows you to configure different environments for API requests.
from newscatcher import NewscatcherApi
from newscatcher.environment import NewscatcherApiEnvironment
client = NewscatcherApi(
environment=NewscatcherApiEnvironment.DEFAULT,
)
Async Client
The SDK also exports an async client so that you can make non-blocking calls to our API. Note that if you are constructing an Async httpx client class to pass into this client, use httpx.AsyncClient() instead of httpx.Client() (e.g. for the httpx_client parameter of this client).
import asyncio
from newscatcher import AsyncNewscatcherApi
client = AsyncNewscatcherApi(
api_key="<value>",
)
async def main() -> None:
await client.search.post(
q="\"supply chain\" AND Amazon NOT China",
page_size=1,
)
asyncio.run(main())
Exception Handling
When the API returns a non-success status code (4xx or 5xx response), a subclass of the following error will be thrown.
from newscatcher.core.api_error import ApiError
try:
client.search.post(...)
except ApiError as e:
print(e.status_code)
print(e.body)
Retrieving more articles
The standard News API endpoints have a limit of 10,000 articles per query. To retrieve more articles when needed, use these methods that automatically break down your request into smaller time chunks:
Get all articles
import datetime
from newscatcher import NewscatcherApi
client = NewscatcherApi(api_key="YOUR_API_KEY")
# Get articles about renewable energy from the past 10 days
articles = client.get_all_articles(
q="renewable energy",
from_="10d", # Last 10 days
time_chunk_size="1d", # Split into 1-day chunks
max_articles=50000, # Limit to 50,000 articles
show_progress=True # Show progress indicator
)
print(f"Retrieved {len(articles)} articles")
Get all latest headlines
from newscatcher import NewscatcherApi
client = NewscatcherApi(api_key="YOUR_API_KEY")
# Get all technology headlines from the past week
articles = client.get_all_headlines(
when="7d",
time_chunk_size="1h", # Split into 1-hour chunks
show_progress=True
)
print(f"Retrieved {len(articles)} articles")
These methods handle pagination and deduplication automatically, giving you a seamless experience for retrieving large datasets.
You can also use async versions of these methods with the AsyncNewscatcherApi client.
Query validation
The SDK includes client-side query validation to help you catch syntax errors before making API calls:
from newscatcher import NewscatcherApi
client = NewscatcherApi(api_key="YOUR_API_KEY")
# Validate query syntax
is_valid, error_message = client.validate_query("machine learning")
if is_valid:
print("Query is valid!")
else:
print(f"Invalid query: {error_message}")
Automatic validation
Query validation is enabled by default in methods like get_all_articles() and will raise a ValueError for invalid queries. You can disable validation by setting validate_query=False:
# Enable validation (default)
articles = client.get_all_articles(
q="AI OR \"artificial intelligence\"", # Valid query
validate_query=True, # Optional, True by default
from_="7d"
)
# Disable validation (not recommended)
articles = client.get_all_articles(
q="some query",
validate_query=False, # Skip client-side validation
from_="7d"
)
For complete validation rules, bulk validation techniques, and troubleshooting, see Validate queries with Python SDK.
Advanced
Access Raw Response Data
The SDK provides access to raw response data, including headers, through the .with_raw_response property.
The .with_raw_response property returns a "raw" client that can be used to access the .headers and .data attributes.
from newscatcher import NewscatcherApi
client = NewscatcherApi(...)
response = client.search.with_raw_response.post(...)
print(response.headers) # access the response headers
print(response.status_code) # access the response status code
print(response.data) # access the underlying object
Retries
The SDK is instrumented with automatic retries with exponential backoff. A request will be retried as long as the request is deemed retryable and the number of retry attempts has not grown larger than the configured retry limit (default: 2).
A request is deemed retryable when any of the following HTTP status codes is returned:
Use the max_retries request option to configure this behavior.
client.search.post(..., request_options={
"max_retries": 1
})
Timeouts
The SDK defaults to a 60 second timeout. You can configure this with a timeout option at the client or request level.
from newscatcher import NewscatcherApi
client = NewscatcherApi(..., timeout=20.0)
# Override timeout for a specific method
client.search.post(..., request_options={
"timeout_in_seconds": 1
})
Custom Client
You can override the httpx client to customize it for your use-case. Some common use-cases include support for proxies
and transports.
import httpx
from newscatcher import NewscatcherApi
client = NewscatcherApi(
...,
httpx_client=httpx.Client(
proxy="http://my.test.proxy.example.com",
transport=httpx.HTTPTransport(local_address="0.0.0.0"),
),
)
Contributing
While we value open-source contributions to this SDK, this library is generated programmatically. Additions made directly to this library would have to be moved over to our generation code, otherwise they would be overwritten upon the next generated release. Feel free to open a PR as a proof of concept, but know that we will not be able to merge it as-is. We suggest opening an issue first to discuss with us!
On the other hand, contributions to the README are always very welcome!
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