How to load data from Public Apis to TiDB
Learn how to use Airbyte to synchronize your Public Apis data into TiDB 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 the API Specifications
Before you begin, thoroughly read the API documentation to understand the endpoint structure, authentication methods, rate limits, and the data format returned (usually JSON or XML). This foundational knowledge ensures you can correctly query and process the data.
Step 2: Set Up TiDB Environment
Install and configure TiDB on your machine or server. Ensure you have the necessary permissions to create databases and tables. TiDB can be installed using Docker, binary installation, or a Kubernetes deployment, depending on your environment and requirements.
Step 3: Design Database Schema
Based on the data structure from the API, design a relational schema for TiDB. Create tables with appropriate data types and relationships that mirror the API data structure. Use SQL commands to create these tables in TiDB.
Step 4: Fetch Data from the API
Write a script (using a programming language like Python, Node.js, or Go) to fetch data from the API. Use HTTP requests to access the API endpoints and handle authentication as per the API's requirements. Ensure the script handles pagination and rate limits if applicable.
Step 5: Parse and Transform Data
Once the data is fetched from the API, parse the JSON or XML response into a format that can be inserted into TiDB. This involves extracting the relevant fields and transforming them into a tabular format matching your database schema. Utilize libraries like `json` in Python for JSON parsing.
Step 6: Insert Data into TiDB
Establish a connection to the TiDB database using a database driver compatible with your chosen programming language (e.g., `mysql` for Python, `go-sql-driver/mysql` for Go). Use SQL `INSERT` statements to load the transformed data into TiDB. Implement error handling to manage potential insert failures.
Step 7: Automate and Schedule Data Transfers
Once the data transfer process is verified, automate the script using cron jobs (on Unix-based systems) or Task Scheduler (on Windows) to periodically fetch and update the data in TiDB. This ensures that your TiDB database remains synchronized with the API data over time.
By following these steps, you can efficiently transfer data from a public API to TiDB without relying on third-party connectors.