Python SDK

The official RED Atlas Python SDK provides a simple way to work with the API from Python applications, notebooks, and backend services.

Install

The package is published on PyPI and can be installed from https://pypi.org/project/redatlas/.

pip install redatlas

What It Includes

A Python-friendly interface for authenticating and calling RED Atlas endpoints.
A cleaner developer experience for scripts, notebooks, and data workflows.
A single package to standardize how your team integrates with the RED Atlas API.

Quickstart

from redatlas import RedAtlasClient

client = RedAtlasClient(api_key="ra_live_YOUR_KEY_HERE")

market = client.data.data_market(market="col")
print(market.data.available_entities)

listings = client.data.data_list(
    market="col",
    entity_type="listings",
    limit=3,
)
print(f"Found {listings.meta.total} listings")

listing = client.data.data_get(
    market="col",
    entity_type="listings",
    id="0ee4e9a9-09b2-48a0-82d7-b63059a36fca",
)
print(listing.data)

Creating Reports

from redatlas import RedAtlasClient
from redatlas.models import AvmReportRequest, ReportLocation

client = RedAtlasClient(api_key="ra_live_YOUR_KEY_HERE")

report = client.reports.reports_create_avm(
    avm_report_request=AvmReportRequest(
        market="col",
        location=ReportLocation(lat=4.641, lon=-74.065),
        property_type="apartment",
        listing_type="for_sale",
        built_area=98,
        rooms=3,
    ),
)
print("Estimated value:", report.data.result.prediction)

Quickstart

from redatlas import RedAtlasClient

client = RedAtlasClient(api_key="ra_live_YOUR_KEY_HERE")

market = client.data.data_market(market="col")
print(market.data.available_entities)

listings = client.data.data_list(
    market="col",
    entity_type="listings",
    limit=3,
)
print(f"Found {listings.meta.total} listings")

listing = client.data.data_get(
    market="col",
    entity_type="listings",
    id="0ee4e9a9-09b2-48a0-82d7-b63059a36fca",
)
print(listing.data)

Creating Reports

from redatlas import RedAtlasClient
from redatlas.models import AvmReportRequest, ReportLocation

client = RedAtlasClient(api_key="ra_live_YOUR_KEY_HERE")

report = client.reports.reports_create_avm(
    avm_report_request=AvmReportRequest(
        market="col",
        location=ReportLocation(lat=4.641, lon=-74.065),
        property_type="apartment",
        listing_type="for_sale",
        built_area=98,
        rooms=3,
    ),
)
print("Estimated value:", report.data.result.prediction)