How to load data from Snapchat Marketing to Convex
Learn how to use Airbyte to synchronize your Snapchat Marketing data into Convex 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: Export Data from Snapchat Marketing
Begin by logging into your Snapchat Ads Manager account. Navigate to the analytics or reports section. Here, you can customize the data you need by selecting the appropriate metrics, dimensions, and date range. Once configured, export the data as a CSV file. This file will serve as the raw data source for transfer.
Step 2: Prepare the CSV File for Conversion
Open the exported CSV file using a spreadsheet tool like Microsoft Excel or Google Sheets. Review the file to ensure it contains all necessary data fields required for your operations in Convex. Clean the data by removing any irrelevant columns or rows and ensure the data is well-structured and formatted correctly for further processing.
Step 3: Set Up Convex Environment
Access your Convex account and set up the necessary environment where the data will be stored. This might involve creating a new dataset or table that mirrors the structure of your CSV file. Ensure that the schema in Convex matches the columns and data types of your CSV file to avoid any data inconsistency issues during the import process.
Step 4: Convert CSV to JSON Format
Snapchat's exported CSV needs conversion to a JSON format that is compatible with Convex. Use a script or a simple code snippet in Python or JavaScript to convert your CSV data into JSON format. This process involves reading the CSV file, parsing its contents, and then writing the data as a JSON object.
Step 5: Validate JSON Data Structure
Before uploading the JSON data to Convex, validate the JSON structure to ensure it adheres to the required format. Use JSON validation tools or online validators to check for any syntax errors or structural issues. This step is crucial to ensure the data is error-free and ready for import.
Step 6: Upload JSON Data to Convex
With the JSON data prepared and validated, use Convex's native API methods to import the data. This involves authenticating your request with Convex's API and sending the JSON data payload to the appropriate endpoint. Ensure you handle any API response codes to confirm successful data import or address any errors.
Step 7: Verify Data Integrity in Convex
After the upload process, log into your Convex account and verify that the data has been correctly imported. Check for completeness and accuracy by comparing a sample of the imported data against the original data from Snapchat. Address any discrepancies and ensure the data is now available for use within Convex.
By following these steps, you can manually move data from Snapchat Marketing to Convex without relying on third-party connectors or integrations.