How to load data from LinkedIn Pages to TiDB
Learn how to use Airbyte to synchronize your LinkedIn Pages 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: Manual Data Collection from LinkedIn
Begin by manually collecting the data you require from LinkedIn pages. Since LinkedIn restricts automated data scraping, use the platform's export features or manually copy relevant data such as company names, descriptions, and other public information into a CSV file or a similar format.
Step 2: Prepare Your Data for Import
Once you have your data, clean and structure it in a CSV file. Ensure that each column aligns with the fields you plan to create in your TiDB tables. This step involves checking for missing values, correcting inconsistencies, and ensuring uniform data types.
Step 3: Set Up TiDB Environment
If you haven’t already, install TiDB on your server or local machine. TiDB is a distributed SQL database, often deployed using TiUP, the TiDB cluster management tool. Follow the official TiDB documentation to set up your environment correctly.
Step 4: Create a Database and Table in TiDB
Use the TiDB command-line interface or a SQL client to create a new database and the necessary tables. Define the schema based on the structure of the CSV file. For example, use SQL commands like `CREATE DATABASE linkedin_data;` and `CREATE TABLE company_info (id INT PRIMARY KEY, name VARCHAR(255), description TEXT);`.
Step 5: Write a Script for Data Import
Write a script in a programming language like Python or Go to import your CSV data into TiDB. Use libraries such as `pandas` in Python to read the CSV file and `mysql-connector-python` to connect to TiDB and execute SQL insert statements. Ensure your script handles potential issues like duplicate entries and data type mismatches.
Step 6: Execute the Data Import Script
Run your script to import data from the CSV file into TiDB. Monitor the process for any errors or warnings and ensure that all data has been transferred accurately. Adjust the script as necessary to handle any issues that arise during this process.
Step 7: Verify Data Integrity in TiDB
After the import process is complete, conduct a thorough check to verify data integrity. Run SQL queries to count records, check for nulls, and ensure all data fields are correctly populated. This verification step is crucial to confirm that your data migration was successful and that no data was lost or corrupted.
By following these steps, you'll be able to move data from LinkedIn pages to TiDB without relying on third-party connectors or integrations.