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pipelinewise-tap-mixpanel

PyPI version PyPI - Python Version License: AGPL

Singer tap that extracts data from a Mixpanel API and produces JSON-formatted data following the Singer spec.

This is a PipelineWise compatible tap connector.

This tap:

  • Pulls raw data from the Mixpanel Event Export API and the Mixpanel Query API.
  • Extracts the following resources:
    • Export (Events)
    • Engage (People/Users)
    • Funnels
    • Annotations
    • Cohorts
    • Cohort Members
    • Revenue
  • Outputs the schema for each resource
  • Incrementally pulls data based on the input state
  • Uses date-windowing to chunk/loop through export, revenue, funnels.
  • Incorporates attribution window for latency look-back to accommodate delays in data reconciliation.

Streams

export

  • Endpoint: https://data.mixpanel.com/api/2.0/export
  • Primary key fields: event, time, distinct_id
  • Replication strategy: INCREMENTAL (query filtered)
    • Bookmark: time
    • Bookmark query field: from_date, to_date
  • Transformations: De-nest properties to root-level, re-name properties with leading $... to mp_reserved_..., convert datetimes from project timezone to UTC.
  • Optional parameters
    • export_events to export only certain events

engage

  • Endpoint: https://mixpanel.com/api/2.0/engage
  • Primary key fields: distinct_id
  • Replication strategy: FULL_TABLE (all records, every load)
  • Transformations: De-nest $properties to root-level, re-name properties with leading $... to mp_reserved_....

funnels

  • Endpoint 1 (name, id): https://data.mixpanel.com/api/2.0/export
  • Endpoint 2 (date, measures): https://mixpanel.com/api/2.0/funnels
  • Primary key fields: funnel_id, date
  • Parameters:
    • funnel_id: {funnel_id} (from Endpoint 1)
    • unit: day
  • Replication strategy: INCREMENTAL (query filtered)
    • Bookmark: date
    • Bookmark query field: from_date, to_date
  • Transformations: Combine Endpoint 1 & 2 results, convert date keys to list to results list-array.

revenue

  • Endpoint: https://mixpanel.com/api/2.0/engage/revenue
  • Primary key fields: date
  • Parameters:
    • unit: day
  • Replication strategy: INCREMENTAL (query filtered)
    • Bookmark: date
    • Bookmark query field: from_date, to_date
  • Transformations: Convert date keys to list to results list-array.

annotations

cohorts

cohort_members (engage)

  • Endpoint: https://mixpanel.com/api/2.0/cohorts/list
  • Primary key fields: distinct_id, cohort_id
  • Parameters:
    • filter_by_cohort: {cohort_id} (from cohorts endpoint)
  • Replication strategy: FULL_TABLE
  • Transformations: For each cohort_id in cohorts endpoint, query engage endpoint with filter_by_cohort parameter to create list of distinct_id for each cohort_id.

Authentication

The Mixpanel API uses Basic Authorization with the api_secret from the tap config in base-64 encoded format. It is slightly different than normal Basic Authorization with username/password. All requests should include this header with the api_secret as the username, with no password:

  • Authorization: Basic <base-64 encoded api_secret>

More details may be found in the Mixpanel API Authentication instructions.

Quick Start

  1. Install

    python3 -m venv venv
    . venv/bin/activate
    pip install --upgrade pip
    pip install .
    
  2. Create your tap's config.json file. The tap config file for this tap should include these entries:

    • start_date - the default value to use if no bookmark exists for an endpoint (rfc3339 date string)
    • user_agent (string, optional): Process and email for API logging purposes. Example: tap-mixpanel <api_user_email@your_company.com>
    • api_secret (string, ABCdef123): an API secret for each project in Mixpanel. This can be found in the Mixpanel Console, upper-right Settings (gear icon), Organization Settings > Projects and in the Access Keys section. For this tap, only the api_secret is needed (the api_key is legacy and the token is used only for uploading data). Each Mixpanel project has a different api_secret; therefore each Singer tap pipeline instance is for a single project.
    • date_window_size (integer, 30): Number of days for date window looping through transactional endpoints with from_date and to_date. Default date_window_size is 30 days. Clients with large volumes of events may want to decrease this to 14, 7, or even down to 1-2 days.
    • attribution_window (integer, 5): Latency minimum number of days to look-back to account for delays in attributing accurate results. Default attribution window is 5 days.
    • project_timezone (string like US/Pacific): Time zone in which integer date times are stored. The project timezone may be found in the project settings in the Mixpanel console. More info about timezones.
    • select_properties_by_default (true or false): Mixpanel properties are not fixed and depend on the date being uploaded. During Discovery mode and catalog.json setup, all current/existing properties will be captured. Setting this config parameter to true ensures that new properties on events and engage records are captured. Otherwise new properties will be ignored.
    {
        "api_secret": "YOUR_API_SECRET",
        "date_window_size": "30",
        "attribution_window": "5",
        "project_timezone": "US/Pacific",
        "select_properties_by_default": "true",
        "start_date": "2019-01-01T00:00:00Z",
        "user_agent": "tap-mixpanel <api_user_email@your_company.com>"
    }
    

    If you want to export only certain events from the Raw export API then add export_events option to the config.json and list the required event names:

    "export_events": ["event_one", "event_two"]
    

    Optionally, also create a state.json file. currently_syncing is an optional attribute used for identifying the last object to be synced in case the job is interrupted mid-stream. The next run would begin where the last job left off.

    {
        "currently_syncing": "engage",
        "bookmarks": {
            "export": "2019-09-27T22:34:39.000000Z",
            "funnels": "2019-09-28T15:30:26.000000Z",
            "revenue": "2019-09-28T18:23:53Z"
        }
    }
    
  3. Run the Tap in Discovery Mode This creates a catalog.json for selecting objects/fields to integrate:

    tap-mixpanel --config config.json --discover > catalog.json
    

    See the Singer docs on discovery mode here.

  4. Run the Tap in Sync Mode (with catalog) and write out to state file

    For Sync mode:

    > tap-mixpanel --config tap_config.json --catalog catalog.json
    

    Messages are written to standard output following the Singer specification. The resultant stream of JSON data can be consumed by a Singer target. To load to json files to verify outputs:

    > tap-mixpanel --config tap_config.json --catalog catalog.json | target-json > state.json
    > tail -1 state.json > state.json.tmp && mv state.json.tmp state.json
    

    To pseudo-load to Stitch Import API with dry run:

    > tap-mixpanel --config tap_config.json --catalog catalog.json | target-stitch --config target_config.json --dry-run > state.json
    > tail -1 state.json > state.json.tmp && mv state.json.tmp state.json
    

Test

  1. Install python test dependencies in a virtual env and run nose unit and integration tests

    python3 -m venv venv
    . venv/bin/activate
    pip install --upgrade pip
    pip install .[test]
    
  2. Run unit tests

    pytest tests/unittests
    

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