How to load data from WooCommerce to MongoDB
Learn how to use Airbyte to synchronize your WooCommerce 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: Access WooCommerce Database
To begin, access the WooCommerce database directly. This is typically hosted on a MySQL server if you�re using a standard WordPress setup. Use a database management tool like phpMyAdmin or MySQL Workbench to connect to your MySQL server. Ensure you have the necessary permissions to read data from the WooCommerce tables.
Step 2: Identify and Extract WooCommerce Data
Identify the specific tables and data you need to transfer. Common tables include `wp_posts` (for product data), `wp_postmeta` (for custom meta fields), `wp_woocommerce_order_items`, and `wp_woocommerce_order_itemmeta` (for order details). Use SQL queries to extract this data. For example, to retrieve products, you might use:
```sql
SELECT * FROM wp_posts WHERE post_type = 'product';
```
Step 3: Convert Data to JSON Format
MongoDB stores data in BSON format, which is essentially binary JSON. Therefore, you need to convert your extracted SQL data into JSON. Write a script (using a language like Python, PHP, or Node.js) to transform your SQL query results into JSON objects. This script will parse each row of SQL data and convert it to a JSON representation.
Step 4: Set Up MongoDB Environment
Ensure your MongoDB server is installed and running. You can choose between a local MongoDB server or a cloud-based solution like MongoDB Atlas. Use the MongoDB shell or a GUI tool like MongoDB Compass to create the necessary database and collections where your WooCommerce data will be stored.
Step 5: Establish Connection to MongoDB
In your script, establish a connection to the MongoDB server. You can use a MongoDB client library for your chosen programming language. For instance, in Python, you might use PyMongo:
```python
from pymongo import MongoClient
client = MongoClient('mongodb://localhost:27017/')
db = client['your_database_name']
```
Step 6: Insert Data into MongoDB
With the connection established, use the script to loop through each JSON object and insert it into the appropriate MongoDB collection. For example, insert product data into a `products` collection, order data into an `orders` collection, etc. Use the insert_one() or insert_many() methods provided by the MongoDB client library to perform the insertion.
Step 7: Verify Data Integrity and Accuracy
After the data insertion is complete, verify the integrity and accuracy of the data in MongoDB. Use queries to check that the number of documents matches the expected count and that key data fields are correctly populated. This can be done using the MongoDB shell or a GUI tool. For instance, to count documents in a collection, you can use:
```javascript
db.products.countDocuments();
```
By following these steps, you can manually move data from WooCommerce to MongoDB without relying on third-party connectors or integrations.