newsdataapi 0.2.1

Official Python client (SDK) for the Newsdata.io News API — fetch real-time, historical, crypto, and stock-market news via REST, with validation, retries, pagination, and typed exceptions.

NewsData.io Python Client

newsdataapi is the official Python SDK for the NewsData.io REST API. It wraps every endpoint (latest, archive, sources, crypto, market, count, crypto/count, market/count) with consistent retry, pagination, and error handling.

Installation

pip install newsdataapi

If you use uv:

uv add newsdataapi

Supports Python 3.8 through 3.14. The only runtime dependency is requests.

Quickstart

from newsdataapi import NewsDataApiClient

with NewsDataApiClient("YOUR_API_KEY") as client:
    response = client.latest_api(q="bitcoin", country="us", language="en")
    for article in response["results"]:
        print(article["title"], "-", article["link"])

The context-manager form closes the underlying HTTP session cleanly when the block exits. If you prefer not to use with, create the client directly and call client.close() yourself:

from newsdataapi import NewsDataApiClient

client = NewsDataApiClient("YOUR_API_KEY")
try:
    response = client.latest_api(q="bitcoin", country="us", language="en")
    for article in response["results"]:
        print(article["title"], "-", article["link"])
finally:
    client.close()

Endpoints

Method	Endpoint	Notes
latest_api()	/latest	Real-time news
archive_api()	/archive	Historical news
sources_api()	/sources	Available news sources
crypto_api()	/crypto	Cryptocurrency news
market_api()	/market	Market / financial news
count_api(from_date, to_date)	/count	Aggregate counts
crypto_count_api(from_date, to_date)	/crypto/count	Aggregate crypto counts
market_count_api(from_date, to_date)	/market/count	Aggregate market counts

All endpoint parameters are keyword-only (except the required from_date / to_date on the count endpoints). Most accept either a single string or a list[str]; lists are comma-joined for the API.

See the NewsData.io documentation for the full parameter reference.

Three ways to consume an endpoint

# 1. Single request (the default).
response = client.latest_api(q="news")

# 2. Auto-merge — follow nextPage cursors and return one combined dict.
merged = client.latest_api(q="news", scroll=True, max_result=200)

# 3. Iterate one response per page (a generator).
for page in client.latest_api(q="news", paginate=True, max_pages=5):
    process(page["results"])

scroll and paginate are mutually exclusive. scroll=True truncates strictly to max_result; paginate=True stops at max_pages or when the API returns no nextPage.

Error handling

from newsdataapi import (
    NewsdataAPIError,
    NewsdataAuthError,
    NewsdataNetworkError,
    NewsdataRateLimitError,
)

try:
    client.latest_api(q="news")
except NewsdataAuthError as e:
    print(f"bad API key (HTTP {e.status_code})")
except NewsdataRateLimitError as e:
    print(f"rate limited; retry after {e.retry_after}s")
except NewsdataAPIError as e:
    print(f"API error {e.status_code}: {e.response_body}")
except NewsdataNetworkError as e:
    print(f"network failure: {e.original}")

The full hierarchy:

NewsdataException
├── NewsdataValidationError      (also a ValueError; carries .param)
├── NewsdataAPIError             (carries .status_code, .response_body)
│   ├── NewsdataAuthError        (401 / 403)
│   ├── NewsdataRateLimitError   (429; carries .retry_after)
│   └── NewsdataServerError      (5xx)
└── NewsdataNetworkError         (carries .original)

NewsdataException is always a valid catch-all.

Save results to CSV

client.save_to_csv(response, folder_path="./out", filename="latest_news")

# Or set folder_path once on the client and reuse:
client = NewsDataApiClient(apikey, folder_path="./out")
client.save_to_csv(response, filename="latest_news")

save_to_csv returns a pathlib.Path. Cell values that are dicts or lists are stringified (key:value,key:value for dicts, comma-joined for lists). Quoting is delegated to the standard csv.DictWriter, so the output round-trips correctly through any CSV reader.

The function is also importable as a standalone:

from newsdataapi import save_to_csv
save_to_csv(response, folder_path="./out", filename="latest_news")

Configuration

client = NewsDataApiClient(
    apikey="...",
    request_timeout=30,         # seconds; default 30
    max_retries=5,              # default 5
    retry_backoff=2.0,          # base seconds, exponential; default 2.0
    retry_backoff_max=60.0,     # cap on a single retry sleep; default 60.0
    pagination_delay=1.0,       # seconds between pages; default 1.0
    max_result=None,            # cap on merged results in scroll mode; default None (no cap)
    max_pages=None,             # cap on pages yielded in paginate mode; default None (no cap)
    proxies={"https": "..."},   # passed to requests.Session.get
    accept_language="en",       # Accept-Language header
    include_headers=False,      # if True, returned dicts include response_headers
    base_url="...",             # override for staging / proxied environments
    session=my_session,         # inject your own requests.Session
    folder_path="./out",        # default folder for save_to_csv; default None
)

Defaults sleep about a minute total across all retries (2 s → 4 s → 8 s → 16 s → 32 s, capped at 60 s); 429 responses honor Retry-After (both integer-seconds and HTTP-date forms are parsed). The API key is redacted in log output.

Development

This project uses uv for environment and lock management.

git clone https://github.com/bytesview/python-client
cd python-client
uv sync                                # creates .venv, installs runtime + dev deps from uv.lock

Run the suite:

uv run pytest                                         # unit tests only (default)
PYTEST_TOKEN=<api-key> uv run pytest -m integration   # live-API tests
PYTEST_TOKEN=<api-key> uv run pytest -m ""            # all tests

uv run ruff check src/ tests/ examples/
uv run mypy src/

Dev dependencies live in PEP 735 [dependency-groups].dev (uv-native). Plain pip install -e ".[dev]" will not pick them up; if you can't use uv, install the contents of the dev group in pyproject.toml by hand.

License

MIT. See the LICENSE file.