Stream data from Facebook Ads (Meta) to MongoDB
Move data from Facebook Ads (Meta) to MongoDB in minutes using Estuary. Stream, batch, or continuously sync data with control over latency from sub-second to batch.
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- 200+Of connectors
- 5500+Active users
- <100msEnd-to-end latency
- 7+GB/secSingle dataflow
How to integrate Facebook Ads (Meta) with MongoDB in 3 simple steps
Connect Facebook Ads (Meta) as your data source
Set up a source connector for Facebook Ads (Meta) in minutes. Estuary supports streaming (including CDC where available) and batch data capture through events, incremental syncs, or snapshots — without custom pipelines, agents, or manual configuration.
Configure MongoDB as your destination connector
Estuary supports intelligent schema handling, with schema inference and evolution tools that help align source and destination structures over time. It supports both batch and streaming data movement, reliably delivering data to MongoDB.
Deploy and Monitor Your End-to-End Data Pipeline
Launch your pipeline and monitor it from a single UI. Estuary guarantees exactly-once delivery, handles backfills and replays, and scales with your data — without engineering overhead.

Facebook Ads (Meta) connector details
The Facebook Marketing capture connector continuously ingests campaign, ad, and performance data from the Facebook Marketing API into Estuary collections, allowing you to unify and analyze your marketing performance in real time.
- Comprehensive coverage: Supports Ads, Campaigns, Ad Sets, Insights, Custom Conversions, and more from your Facebook Business account
- Flexible authentication: Connect easily using OAuth2 in the Estuary web app or configure manually with a Marketing API access token
- Custom Insights support: Select specific metrics, dimensions, and breakdowns using Facebook’s Insights API for granular reporting
- Incremental and full refresh modes: Capture both historical and continuously updated data streams
- Advanced access readiness: Built to handle high-volume syncs via Facebook’s Advanced Access permissions
💡 Tip: Use the Custom Insights feature to tailor your data capture to specific reporting dimensions like device, region, or action type — reducing unnecessary API load and optimizing performance.

MongoDB connector details
The MongoDB materialization connector writes Estuary collections into MongoDB collections, turning each Estuary collection document into a MongoDB document. Estuary uses the Estuary collection key to create the MongoDB _id value, so documents can be updated consistently as upstream data changes.
- Materialize Estuary collections into MongoDB collections for application, operational, and real-time serving use cases.
- Create MongoDB documents with an
_idvalue based on the Estuary collection key. - If an Estuary collection already contains a field named
_id, Estuary writes that field as_flow_idto avoid conflicts with MongoDB’s required_idfield. - Connect using your MongoDB host address, database name, username, and password, including
mongodb+srv://addresses where applicable. - Use a MongoDB user with read and write access to the target database and collections.
- Support standard merge updates by default, with optional delta updates for workloads that need that update mode.
Estuary in action
See how to build end-to-end pipelines using no-code connectors in minutes. Estuary does the rest.
Spend 2-5x less
Estuary customers not only do 4x more. They also spend 2-5x less on ETL and ELT. Estuary's unique ability to mix and match streaming and batch loading has also helped customers save as much as 40% on data warehouse compute costs.

Facebook Ads (Meta) to MongoDB pricing estimate
Estimated monthly cost to move 800 GB from Facebook Ads (Meta) to MongoDB is approximately $1,000.
Data moved
Choose how much data you want to move from Facebook Ads (Meta) to MongoDB each month.
GB
Choose number of sources and destinations.
Why pay more?
Move the same data for a fraction of the cost.



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Frequently Asked Questions
Is this integration suitable for production workloads?
Yes. Estuary pipelines are designed for production use, with exactly-once delivery semantics, automated backfills, and continuous operation at scale.
Can I control where my data runs and is processed?
Yes. Estuary offers multiple deployment options, including fully managed SaaS, private deployments, and bring-your-own-cloud (BYOC). This allows teams to control where their data plane runs and meet security, compliance, and networking requirements. Learn more about Estuary's security and deployment options.
Can I build this Facebook Ads (Meta) to MongoDB integration manually?
Yes, it's possible to build a manual pipeline using custom scripts, scheduled jobs, or open-source tools. However, manual approaches typically require ongoing maintenance, custom error handling, schema management, and operational overhead. Estuary simplifies this by providing a managed pipeline with built-in reliability, scaling, and monitoring.
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