unstructured-client
Python Client SDK for Unstructured API
Decision gist · record as of 2026-08-14
Yes, if you need to extract structured data from unstructured documents and are willing to use a cloud API. The SDK is actively maintained, has low install friction, carries no known vulnerabilities, and uses a permissive license. Requires Python 3.11+. Verify that the free tier and API pricing fit your volume and use case before committing.AI-flagged interpretation of the facts on this page — verify before relying
Before you install
- Requires Python 3.11 or later.
- API key or credentials for the Unstructured Platform are needed to authenticate requests.
- Low friction installation with a pure-Python wheel.
License · maintenance · safety
MIT (permissive) — MIT license is permissive; you can use this package freely in commercial and private projects with minimal restrictions.
last release 2026-08-05 (9 days) · last repo commit 2026-08-05 · 118 stars
0 known vulnerabilities (OSV.dev, 2026-08-14) · 8,893,676 downloads/mo, #1,581 on PyPI
Alternatives
Verify before relying
pip install unstructured-client
from unstructured_client import UnstructuredClient
with UnstructuredClient() as client:
res = client.destinations.create_connection_check_destinations(
request={"destination_id": "cb9e35c1-0b04-4d98-83fa-fa6241323f96"}
)- Whether the free tier (1000 pages per day for 14 days) is sufficient for typical use cases.
- Performance characteristics when processing large documents or high-volume batches.
- Supported file formats beyond PDF (mentioned in dependencies but not detailed in excerpt).
What it is and what it does
unstructured-client is a Python HTTP client for the Unstructured Platform API, a cloud service that extracts structured data from unstructured documents. It wraps the Platform's Partition and Workflow endpoints, allowing you to send documents to the API and retrieve parsed, structured output. The SDK handles authentication, retries, error handling, and file uploads.
You use it by instantiating an UnstructuredClient, then calling methods on its resource objects (e.g., destinations, partitions) to submit documents and retrieve results. The SDK depends on httpx for HTTP transport, pydantic for data validation, and pypdf/pypdfium2 for local PDF handling. It supports custom retry strategies and detailed error reporting via UnstructuredClientError and its subclasses.
Use it for
- Extract structured data from PDFs, images, or other documents by sending them to the Unstructured Platform API.
- Build document processing pipelines that parse invoices, contracts, or forms and return JSON-structured output.
- Integrate document parsing into a larger ETL workflow using the Workflow Endpoint.
- Handle file uploads and manage API responses with built-in retry logic and error handling.
- Prototype document extraction without maintaining local parsing infrastructure.
Worth the install?
AI-flagged interpretation of the facts on this page. Verify before relying on it.
Yes, if you need to extract structured data from unstructured documents and are willing to use a cloud API.
The SDK is actively maintained, has low install friction, carries no known vulnerabilities, and uses a permissive license. Requires Python 3.11+. Verify that the free tier and API pricing fit your volume and use case before committing.
Install
unstructured-client on PyPI
Before you install
Low friction installation with a pure-Python wheel. Active maintenance with a release 9 days ago. Requires Python 3.11 or later. Seven runtime dependencies are all standard HTTP and data-handling libraries (httpx, pydantic, pypdf, pypdfium2, requests-toolbelt, aiofiles, httpcore).
Requires Python 3.11 or later. API key or credentials for the Unstructured Platform are needed to authenticate requests.
License in practice
MIT license is permissive; you can use this package freely in commercial and private projects with minimal restrictions.
Quickstart
pip install unstructured-client
from unstructured_client import UnstructuredClient
with UnstructuredClient() as client:
res = client.destinations.create_connection_check_destinations(
request={"destination_id": "cb9e35c1-0b04-4d98-83fa-fa6241323f96"}
)Verify before relying
- Whether the free tier (1000 pages per day for 14 days) is sufficient for typical use cases.
- Performance characteristics when processing large documents or high-volume batches.
- Supported file formats beyond PDF (mentioned in dependencies but not detailed in excerpt).
Package facts
| License | MIT permissive |
| Python support | Supports the current Python release >=3.11 |
| Install friction | Low. Pure-Python wheel |
| Runtime dependencies | 7 packagesaiofileshttpcorehttpxpydanticpypdfpypdfium2requests-toolbelt |
| Maintenance | Actively maintained 9 days since the last release |
| Last repo commit | |
| First released | |
| Downloads | 8,893,676 / month, #1,581 on PyPI 30-day window, as of 2026-08-14 |
| Known vulnerabilities | None known OSV.dev, checked 2026-08-14 |
Evidence: unstructured_client-0.46.1-py3-none-any.whl
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See also unstructured · unstructured-inference · langchain-unstructured · unstructured-ingest · fathom-python · llama-cloud · google-cloud-documentai · cohere-compass-sdk · Unified-python-sdk