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This is a forked and modified version of tap-github, but adapted for projects at the Github organization scope.

This is a Singer tap that produces JSON-formatted data from the GitHub API following the Singer spec.

This tap:

  • Pulls raw data from the GitHub REST API
  • Extracts the following resources from GitHub for a single repository:
  • Outputs the schema for each resource
  • Incrementally pulls data based on the input state

Quick start

  1. Install

    We recommend using a virtualenv:

    > virtualenv -p python3 venv
    > source venv/bin/activate
    > pip install < requirements.txt
  2. Create a GitHub access token

    Login to your GitHub account, go to the Personal Access Tokens settings page, and generate a new token with at least the repo scope. Save this access token, you'll need it for the next step.

  3. Create the config file

    Create a JSON file containing the access token you just created and the path to one or multiple organizations that you want to extract data from. Each org path should be space delimited. The org path is relative to

    {"access_token": "your-access-token",
     "organizations": "someorg another-org"}
  4. Run the tap in discovery mode to get properties.json file

    python3 tap_github/ --config config.json --discover > properties.json
  5. In the properties.json file, select the streams to sync

    Each stream in the properties.json file has a "schema" entry. To select a stream to sync, add "selected": true to that stream's "schema" entry. For example, to sync the pull_requests stream:

    "tap_stream_id": "pull_requests",
    "schema": {
      "selected": true,
      "properties": {
        "updated_at": {
          "format": "date-time",
          "type": [
  6. Run the application

    tap-github can be run with:

    python3 tap_github/ --config config.json --properties properties.json
    python3 tap_github/ -c config.json -p properties.json | target-stitch --config stitch.json

Copyright © 2018 Stitch, 2020 Ross McDonald


A singer tap for Github organization projects







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