Typed Python client library for the Spark RESO Web API used by Flexmls.
Project description
flex_mls
flex_mls is a typed Python client library for the Spark RESO Web API used by
Flexmls.
Features
- Direct bearer-token authentication for personal access token workflows
- OpenID Connect helpers for authorization-code, refresh, and revoke flows
- Typed resource clients for the RESO Web API surface
- Replication-aware pagination and incremental sync helpers
- Google-style docstrings and shipped type information
Installation
pip install flex-mls
Quickstart
from flex_mls import FlexMlsClient
client = FlexMlsClient(access_token="your-access-token")
response = client.properties.list(top=5, count=True)
for record in response.get("value", []):
print(record.get("ListingKey"))
Documentation
The package mirrors Spark's RESO documentation and adds Python-focused guides for authentication, querying, and replication workflows.
Releases
GitHub Actions runs the test suite for pull requests, pushes to main, and
version tags. Publishing to PyPI happens automatically when a tag in vX.Y.Z
format is pushed, and the workflow verifies that the tag matches the package
version metadata before publishing.
Project details
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