How to load data from AppsFlyer to MongoDB
Learn how to use Airbyte to synchronize your AppsFlyer data into MongoDB within minutes.
Building your pipeline or Using Airbyte
Airbyte is the only open source solution empowering data teams to meet all their growing custom business demands in the new AI era.
Building in-house pipelines
- Inconsistent and inaccurate data
- Laborious and expensive
- Brittle and inflexible
After Airbyte
- Reliable and accurate
- Extensible and scalable for all your needs
- Deployed and governed your way
Start syncing with Airbyte in 3 easy steps within 10 minutes
Take a virtual tour
Demo video of Airbyte Cloud
Demo video of AI Connector Builder
Setup Complexities simplified!
Simple & Easy to use Interface
Airbyte is built to get out of your way. Our clean, modern interface walks you through setup, so you can go from zero to sync in minutes—without deep technical expertise.
Guided Tour: Assisting you in building connections
Whether you’re setting up your first connection or managing complex syncs, Airbyte’s UI and documentation help you move with confidence. No guesswork. Just clarity.
Airbyte AI Assistant that will act as your sidekick in building your data pipelines in Minutes
Airbyte’s built-in assistant helps you choose sources, set destinations, and configure syncs quickly. It’s like having a data engineer on call—without the overhead.
What sets Airbyte Apart
Modern GenAI Workflows
Streamline AI workflows with Airbyte: load unstructured data into vector stores like Pinecone, Weaviate, and Milvus. Supports RAG transformations with LangChain chunking and embeddings from OpenAI, Cohere, etc., all in one operation.
Move Large Volumes, Fast
Quickly get up and running with a 5-minute setup that enables both incremental and full refreshes for databases of any size, seamlessly scaling to handle large data volumes. Our optimized architecture overcomes performance bottlenecks, ensuring efficient data synchronization even as your datasets grow from gigabytes to petabytes.
An Extensible Open-Source Standard
More than 1,000 developers contribute to Airbyte’s connectors, different interfaces (UI, API, Terraform Provider, Python Library), and integrations with the rest of the stack. Airbyte’s AI Connector Builder lets you edit or add new connectors in minutes.
Full Control & Security
Airbyte secures your data with cloud-hosted, self-hosted or hybrid deployment options. Single Sign-On (SSO) and Role-Based Access Control (RBAC) ensure only authorized users have access with the right permissions. Airbyte acts as a HIPAA conduit and supports compliance with CCPA, GDPR, and SOC2.
Fully Featured & Integrated
Airbyte automates schema evolution for seamless data flow, and utilizes efficient Change Data Capture (CDC) for real-time updates. Select only the columns you need, and leverage our dbt integration for powerful data transformations.
Enterprise Support with SLAs
Airbyte Self-Managed Enterprise comes with dedicated support and guaranteed service level agreements (SLAs), ensuring that your data movement infrastructure remains reliable and performant, and expert assistance is available when needed.
What our users say
Raman Singh
Predictable, straightforward pricing model that simplified budgeting and significantly reduced overall spend
Chase Zieman
“Airbyte helped us accelerate our progress by years, compared to our competitors. We don’t need to worry about connectors and focus on creating value for our users instead of building infrastructure. That’s priceless. The time and energy saved allows us to disrupt and grow faster.”
Rupak Patel
"With Airbyte, we could just push a few buttons, allow API access, and bring all the data into Google BigQuery. By blending all the different marketing data sources, we can gain valuable insights."
How to Sync to Manually
Step 1: Understand AppsFlyer's Data Export Options
Begin by familiarizing yourself with AppsFlyer's data export capabilities. AppsFlyer provides raw data reports via their API, which can be accessed programmatically. Review the AppsFlyer documentation to ensure you understand how to generate the API tokens and the data types available for export.
Step 2: Generate AppsFlyer API Token
Access your AppsFlyer account and navigate to the API Access section. Generate an API token if you haven't already. This token will be used to authenticate your requests to the AppsFlyer API. Ensure you store this token securely as it will be required in subsequent steps.
Step 3: Set Up a Script to Fetch Data from AppsFlyer
Write a script using a programming language of your choice (such as Python) to connect to the AppsFlyer API. Use the API token to authenticate, and construct API calls to fetch the desired data. This script should include error handling and logging to ensure any issues can be diagnosed easily.
Step 4: Transform the Data into a MongoDB-Compatible Format
After fetching the data, transform it into a format suitable for MongoDB. Typically, this involves converting the data into JSON, as MongoDB stores data in a BSON format, which is similar to JSON. Ensure the transformation preserves all necessary fields and data types.
Step 5: Set Up a MongoDB Instance
Prepare a MongoDB instance where you will store the data. This can be a local instance or a cloud-based MongoDB service like MongoDB Atlas. Set up the necessary database and collections that will hold the imported data. Ensure your MongoDB instance is configured with appropriate authentication and authorization settings.
Step 6: Write a Script to Import Data into MongoDB
Extend your script to connect to the MongoDB instance using a MongoDB driver compatible with your chosen programming language. Use this connection to insert the transformed JSON data into the correct database and collection. Ensure to handle potential errors such as connection issues or duplicate data entries.
Step 7: Automate and Schedule the Data Transfer Process
Once your scripts are verified to work correctly, automate the process using a task scheduler like cron (on UNIX systems) or Task Scheduler (on Windows). Schedule the scripts to run at regular intervals to ensure that data from AppsFlyer is consistently updated in your MongoDB database. Monitor the process regularly to ensure its smooth operation and update the scripts as needed to accommodate any changes in data structure or business requirements.
By following these steps, you will be able to transfer data from AppsFlyer to MongoDB without relying on third-party connectors.