# A media monitoring company runs its own accounts and Auto sources through one schema

Its listening tool account, its scraper platform and Datastreamer's sources, delivered to its warehouse.

2 of its own accounts plugged in · 4+ client pipelines · New component shipped the next day

## At a glance

- **Customer:** Media monitoring company
- **Sources:** Its own listening tool account, its scraper platform and Datastreamer sources
- **Volume:** 4+ client pipelines
- **Delivery:** Its data warehouse
- **In production:** Live, with broadcast sources next

## About the customer

A media monitoring company that builds reports and dashboards for its clients.

**Industry:** Media Monitoring

## The Story

Challenge, solution, results.

### The Challenge: Many sources, many shapes

The company builds reports and dashboards for its clients. Its data came from many places: its own listening tool account, custom scrapers it ran on a scraper platform, and providers it bought from directly.

Each delivered data in a different shape, into a different place. Every report started with stitching exports together.

### The Solution: Bring your own accounts

All of it now runs through Datastreamer, with a separate pipeline for each client program. Its 2 existing accounts plug in alongside the sources Datastreamer provides, so it keeps the tools it already pays for.

Output from its custom scrapers is mapped automatically into the same schema as everything else, and the combined data is delivered to its data warehouse. When it needed a new capability for one of its accounts, the component was built and shipped the next day.

### The Results: One consistent dataset

Its team works from one consistent dataset instead of a pile of exports, across every client pipeline. Broadcast sources (radio, TV and podcasts) are next on its list.

## How the pipeline works

1. **Sources:** Its own listening tool account and scraper platform, plus Datastreamer's sources.
2. **Unification:** Custom scraper output mapped into one schema.
3. **Organization:** A separate pipeline for each client program.
4. **Delivery:** Into its data warehouse.

## Ready to bring your sources together?

Plug in the accounts you already have and add the sources you're missing, all in one pipeline.

[Talk to Sales](https://datastreamer.io/book-demo/) · [Read the Documentation](https://docs.datastreamer.io)

## Related

- [Listening Tool Replacement Case Study](https://datastreamer.io/listening-tool-replacement-case-study/)
- [Real-Time Alerts Case Study](https://datastreamer.io/real-time-alerts-case-study/)
- [Social listening API limits: what you can export in 2026](https://datastreamer.io/social-listening-api-limits/)