Harness community-driven datasets with our API

Version: Beta

The Mozilla Data Collective API gives developers access to community-created datasets while empowering contributors to maintain control over their data.

Mozilla Data Collective API at a glance

Create access credentials

Manage your API credentials by going to Profile > API

Secure your key

Store your access credentials in a secret key

Authentication

Provide your API key in your request header to authenticate

Select your dataset

Choose from over 300 global datasets to use

Agree to dataset terms

You will only be able to download datasets after accepting terms

Download

Use our REST endpoint or the MDC python library to get started

Create API credentials

API Overview

Power your projects with diverse, ethically-created datasets that are just one REST call away.

# Test code for connecting to Mozilla Data Collective API

from datacollective import save_dataset_to_disk
from datacollective import load_dataset

# Download a dataset to your computer
dataset_path = save_dataset_to_disk("your-dataset-id")

# Or load it directly in a Pandas DataFrame
# (if supported)
dataset = load_dataset("your-dataset-id")

Give it a try

Get up and running with datacollective-python, a Python library for authenticating and interacting with the MDC API.

Links & Docs

Get API Access

Browse API Docs

Python Library

Python Library Source