Official Python client for source-timestamped OilPriceAPI energy data. It provides typed synchronous and asynchronous clients, bounded retries, explicit errors, optional pandas helpers, and executable example manifests.
Mutable offer, catalog, freshness, entitlement, and data-rights wording is
governed by the reviewed
product-facts.json contract.
Latest available values include source timestamps; cadence, history depth, and
access vary by source, market hours, dataset, and account entitlement.
python -m pip install oilpriceapiOptional extras are installed only when the application uses them:
python -m pip install "oilpriceapi[pandas]"
python -m pip install "oilpriceapi[stream]"An installed helper does not imply that every dataset or workflow is enabled for an account. Confirm access in the current API response and documentation.
Create an API key in the OilPriceAPI dashboard and provide it through the environment. Do not put a key in source code, a notebook cell, a URL, logs, screenshots, or issue text.
export OILPRICEAPI_KEY="your-key-from-the-dashboard"The API authentication header is Authorization: Token YOUR_API_KEY.
The canonical first request is
GET /v1/prices/latest?by_code=BRENT_CRUDE_USD. This example fails closed if
the response omits the context needed to interpret the value:
import math
import os
from oilpriceapi import OilPriceAPI
with OilPriceAPI(api_key=os.environ["OILPRICEAPI_KEY"], max_retries=1) as client:
payload = client.request(
"GET",
"/v1/prices/latest",
params={"by_code": "BRENT_CRUDE_USD"},
timeout=30,
)
record = payload.get("data")
if not isinstance(record, dict):
raise RuntimeError("EMPTY_RESPONSE: no price record returned")
price = record.get("price")
if isinstance(price, bool) or not isinstance(price, (int, float)) or not math.isfinite(price):
raise RuntimeError("MALFORMED_RESPONSE: price is not a finite number")
source = record.get("source")
metadata = record.get("metadata")
if not source and isinstance(metadata, dict):
source = metadata.get("source")
timestamp_field = next(
(
field
for field in ("as_of", "source_timestamp", "created_at", "updated_at")
if isinstance(record.get(field), str) and record[field].strip()
),
None,
)
required_text = {
"code": record.get("code"),
"currency": record.get("currency"),
"unit": record.get("unit"),
"source": source,
}
if timestamp_field is None or any(
not isinstance(value, str) or not value.strip()
for value in required_text.values()
):
raise RuntimeError("MALFORMED_RESPONSE: source context is incomplete")
print(
{
**required_text,
"price": float(price),
"api_timestamp_field": timestamp_field,
"api_timestamp": record[timestamp_field],
"freshness": record.get("data_status") or record.get("freshness"),
}
)The reviewed standalone form is
examples/snippets/latest_price.py. CI
executes it against production-shaped fixtures and publishes its code and
checksum in the release snippet manifest.
For applications that only need the normalized core fields:
import os
from oilpriceapi import OilPriceAPI
with OilPriceAPI(api_key=os.environ["OILPRICEAPI_KEY"]) as client:
price = client.prices.get("BRENT_CRUDE_USD")
print(
price.commodity,
price.value,
price.currency,
price.unit,
price.timestamp.isoformat(),
)Use the raw first-request pattern when downstream logic requires the exact source and timestamp-field semantics from the API response.
The package exposes typed errors for the customer-recoverable boundaries:
from oilpriceapi import (
AuthenticationError,
OilPriceAPIError,
RateLimitError,
TimeoutError,
)
try:
price = client.prices.get("BRENT_CRUDE_USD")
except AuthenticationError:
print("Replace the missing, expired, or revoked API key.")
except RateLimitError as error:
print("Wait for the API-provided reset window.", error.seconds_until_reset)
except TimeoutError:
print("Retry once, then check https://status.oilpriceapi.com.")
except OilPriceAPIError as error:
if error.status_code in (402, 403):
print("Review dataset access for this account.")
else:
raiseExecutable recovery examples cover 401, 403, 429, and timeout responses under
examples/snippets/. Empty or malformed successful
responses should stop analysis rather than inventing a price, unit, currency,
source, or timestamp.
The client includes resources for latest and historical values plus additional dataset and workflow families. Availability is determined by the live API and account entitlement, not by the presence of a helper method in the package.
- Use API documentation for current paths and parameters.
- Use the commodity catalog to inspect codes.
- Use pricing to review current account options.
- Use the data usage policy before redistributing data.
Standard plans provide API access, normalization, monitoring, and delivery; they do not transfer ownership of underlying source data or unrestricted raw data redistribution rights.
Website and documentation snippets are maintained in examples/snippets/.
Every release attaches a versioned manifest containing the package version,
minimum runtime, source commit, expected response shape, exact code, and SHA-256
for each example.
python scripts/generate_snippet_manifest.py \
--source-commit "$(git rev-parse HEAD)" \
--output artifacts/snippets/oilpriceapi-python-snippets-v1.jsonThe performance guide documents timeout, connection-pooling, batching, retry, and troubleshooting behavior without making a universal latency promise.
python -m pip install -e '.[dev]'
python scripts/validate_storefront_claims.py
pytest tests/ --ignore=tests/integration --ignore=tests/contract -m 'not slow'
python -m buildLive tests require an explicitly supplied non-customer test credential. Unit and snippet tests use local fixtures and do not print or persist credentials.
Licensed under the MIT License.