How to load data from TMDb to Convex

Learn how to use Airbyte to synchronize your TMDb data into Convex within minutes.

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Start syncing with Airbyte in 3 easy steps within 10 minutes

Set up a TMDb connector in Airbyte

Connect to or one of 400+ pre-built or 10,000+ custom connectors through simple account authentication.

Set up Convex for your extracted TMDb data

Select where you want to import data from your source to. You can also choose other cloud data warehouses, databases, data lakes, vector databases, or any other supported Airbyte destinations.

Configure the TMDb to Convex in Airbyte

This includes selecting the data you want to extract - streams and columns -, the sync frequency, where in the destination you want that data to be loaded.

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How to Sync to Manually

Step 1: Set Up TMDb API Access

First, you need to obtain an API key from TMDb to access its data. Go to the TMDb website, create an account if you haven't, and navigate to the API section in your account settings. Apply for an API key, which will be used to authenticate your requests to TMDb's API.

Step 2: Fetch Data from TMDb

With your API key in hand, write a script to fetch data from TMDb. You can use Python with the `requests` library for this purpose. Construct the API endpoint URL for the specific data you want (e.g., movie details, TV shows) and make a GET request. Parse the JSON response to retrieve the desired data fields.

Step 3: Process and Clean Data

Once you have the raw data from TMDb, process and clean it. This involves parsing JSON data, handling missing values, and possibly filtering or transforming the data to fit the schema you plan to use in Convex. Ensure that the data is in a structured format, such as a list of dictionaries.

Step 4: Install and Set Up Convex

Set up a Convex project to store the data. First, install the Convex CLI by running `npm install -g convex`. Then, create a new Convex project using `convex init `. This will generate a new directory with the necessary configuration files.

Step 5: Define Convex Schema

Inside your Convex project, define the schema for the data tables. You need to create a schema file that specifies the data structure, including the fields and their types. This is crucial so that the data you import from TMDb aligns with the database structure in Convex.

Step 6: Write a Data Import Script

Create a script to import the processed TMDb data into Convex. Use the Convex JavaScript client to connect to your Convex project and perform database operations. Loop through your cleaned data and insert each record into the appropriate table in Convex using the `Convex.db` API.

Step 7: Run and Verify Data Import

Execute your data import script to move data from TMDb to Convex. Monitor the import process for any errors or issues. Once the script completes, verify that the data has been successfully imported by querying the Convex database and checking for the presence and accuracy of the data.

By following these steps, you can manually transfer data from TMDb to Convex without relying on third-party connectors or integrations.