How to load data from Pexels API to Convex
Learn how to use Airbyte to synchronize your Pexels API 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: Set Up Pexels API Access
First, sign up for an account on Pexels and navigate to the API section to obtain your API key. This key will allow you to authenticate your requests to the Pexels API to fetch data.
Step 2: Configure Your Environment
Set up your development environment by installing necessary tools like Node.js or Python, depending on your preference. These will allow you to write scripts to interact with the APIs. Make sure to securely store your Pexels API key in an environment variable or configuration file.
Step 3: Fetch Data from Pexels API
Write a script to send HTTP requests to the Pexels API. You can use libraries like `axios` in Node.js or `requests` in Python to facilitate this. Start by fetching a small dataset to test your setup. Use endpoints provided by Pexels to retrieve data such as photos or videos.
Step 4: Parse and Structure the Data
Once you have fetched the data, you'll need to parse the JSON response to extract relevant information. This might involve transforming the data into a structured format like a JavaScript object or a Python dictionary. Ensure the data is in a format that Convex can process.
Step 5: Set Up Convex Environment
If you haven't already, create an account on Convex and set up a new project. Familiarize yourself with Convex's API and data storage capabilities. You will need to obtain an API key or token to authenticate your requests to Convex.
Step 6: Write Data to Convex
Using the structured data from Pexels, write a script to send HTTP POST requests to the Convex API to store the data. Use libraries like `fetch` in JavaScript or `requests` in Python to handle these HTTP requests. Make sure to handle any API response or errors appropriately to ensure data integrity.
Step 7: Automate the Process
Once you have successfully moved data from Pexels to Convex manually, consider automating the process. This could involve setting up a cron job or a scheduled task that runs your script at regular intervals to keep the data in Convex updated with the latest from Pexels. Ensure you have error handling and logging in place to monitor the automation process.
By following these steps, you can efficiently transfer data from the Pexels API to Convex without relying on third-party connectors or integrations.