data.world & Amazon Marketplace Web Service (MWS) Connector

Getting Started

1. Create a dataset on data.world
2. You will need your own Heroku account
3. Deploy to Heroku by pressing the fancy-looking button above
   • This integration allows you to save all of the reports into one dataset or to multiple datasets. For the latter,
     take a look at the Storing Reports in Multiple Datasets section.
   • App name is optional as one will be automatically assigned, but we recommend something descriptive
   • Take a look at the Config Vars section for more details on the individual configuration variables
   • The initial deployment will take a couple of minutes as it’s pulling your historical data
4. Once deployment is done, click on ‘Manage App’ to go to the app’s ‘Overview’ page
5. Under ‘Installed add-ons’, click on ‘Heroku Scheduler’
6. Add a new job. The command to use is update_reports.
   • Note that times are in UTC. Use a timezone converter if you would like your job to run at a specific local time.

As an example, the following job is scheduled to run daily at 8 AM CDT:

Storing Reports in Multiple Datasets

As mentioned in Config Vars, you can skip certain reports by leaving the associated filename field
blank. If you wanted each report in a separate dataset, you can do so by performing multiple deployments, and
only including the name of one filename on each deployment.

This is a good option when you have a ton of data and you’re concerned about blowing past a dataset’s size limits.

Config Vars

• The various _FILENAME variables determine both the name of the files, as well as which reports to place on that
  dataset. To skip a report, simply leave the name blank.
• START_DATE: How far back to pull your historical data. Format: 2017-01-01
• LAST_THIRTY_DAYS: If the value is set to TRUE, it will always pull the last 30 days of data,
  regardless of START_DATE
• DW_TOKEN: Pay a visit to https://data.world/settings/advanced and copy the Read/Write token
• DW_DATASET_SLUG: As an example, if the URL of your dataset were https://data.world/my-org/my-cool-dataset,
  the dataset slug would be my-org/my-cool-dataset
• MARKETPLACE_IDS: Marketplace IDs for the marketplaces you are registered to sell in. For the US market, use
  ATVPDKIKX0DER. Values for other markets can be found
  here. Multiple markets can be checked
  by including them as a comma-separated list, such as ATVPDKIKX0DER,A2EUQ1WTGCTBG2
• The remaining variables are your Amazon MWS credentials that you receive upon registering as a developer.
  Instructions for doing so are available here.

Known Issues

This integration currently only supports two report types: All Orders and FBA Returns. Additional reports can be
requested through data.world support, or added by forking this repository and submitting a pull request.

Contributing

This integration has been released as an open-source project. Community participation is encouraged and highly
appreciated. If you’d like to contribute, please follow the Contributing Guidelines.

Support

For support, either create a new issue here on
GitHub, or send an email to help@data.world.