How to load data from Google Search Console to Convex
Learn how to use Airbyte to synchronize your Google Search Console 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: Access Google Search Console
Log into your Google Search Console account. Navigate to the property from which you want to extract data. Ensure you have the necessary permissions to access and download data from the console.
Step 2: Export Data from Google Search Console
Within your chosen property in Google Search Console, go to the "Performance" report. Here, you can select the specific data you want to export, such as queries, pages, countries, devices, etc. Use the "Export" button to download the data, choosing either CSV or Google Sheets format.
Step 3: Prepare the Data
Open the exported CSV file or Google Sheet. Review the data to ensure it is complete and organized as needed. Clean the data by removing any unnecessary columns or rows, fixing any formatting issues, and ensuring consistency in the data structure.
Step 4: Set Up Your Convex Environment
Log into your Convex account and create a new project or select an existing one where you want to import the Google Search Console data. Ensure you have the necessary permissions to modify and upload data to the project.
Step 5: Convert Data to Convex-Compatible Format
Convex requires data in a specific format, typically JSON. Use a script (in Python, JavaScript, or another language you are comfortable with) to convert the cleaned CSV or Google Sheets data into JSON format. Ensure that the JSON structure aligns with how data is organized within Convex.
Step 6: Upload Data to Convex
Once your data is converted into the appropriate JSON format, use Convex's API or console to upload the data. If using the API, write a script that authenticates with Convex and sends POST requests with your JSON data to the correct endpoint. Follow Convex's documentation for any specific requirements or headers needed for the upload process.
Step 7: Verify Data Integrity in Convex
After uploading, verify the integrity of the data in Convex. Check random entries or summaries to ensure that data has been accurately transferred without loss or corruption. If discrepancies are found, revisit your conversion and upload steps to troubleshoot and rectify any issues.
By following these steps, you can manually move data from Google Search Console to Convex without relying on third-party connectors or integrations.