How to load data from Lever Hiring to MySQL Destination

Learn how to use Airbyte to synchronize your Lever Hiring data into MySQL Destination within minutes.

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Bespoke pipelines are:
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Furthermore, you will need to build and maintain Y x Z pipelines with Y sources and Z destinations to cover all your needs.

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Start syncing with Airbyte in 3 easy steps within 10 minutes

Set up a Lever Hiring connector in Airbyte

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

Set up MySQL Destination for your extracted Lever Hiring 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 Lever Hiring to MySQL Destination 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.

Take a virtual tour

Check out our interactive demo and our how-to videos to learn how you can sync data from any source to any destination.

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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.

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How to Sync to Manually

Step 1: Understand Lever's API Documentation

Begin by familiarizing yourself with Lever's API documentation. Lever provides RESTful APIs that allow you to access and retrieve data programmatically. Pay special attention to authentication methods, available endpoints, and data formats (usually JSON).

Step 2: Set Up API Authentication

To access Lever’s data, you'll need to authenticate API requests. Typically, this involves generating an API key from the Lever dashboard. Securely store this key, as you’ll need it to authorize requests. Ensure your requests include the necessary headers such as `Authorization` with the bearer token.

Step 3: Retrieve Data Using API Requests

Construct and execute HTTP GET requests to the relevant Lever API endpoints to fetch the data you need. Use tools like `curl` or programming languages like Python (using `requests` library) to make these requests. For example, fetch candidates data by hitting the `/candidates` endpoint.

Step 4: Parse and Transform JSON Data

Once you receive the JSON response from Lever, parse it to extract relevant fields. Depending on your requirements, you may need to transform the data to match your MySQL schema. Use programming languages like Python to iterate over the JSON objects and prepare the data for insertion into MySQL.

Step 5: Set Up MySQL Database and Tables

Ensure your MySQL server is running and accessible. Create a database and the necessary tables that match the structure of the data you intend to import. Use the `CREATE DATABASE` and `CREATE TABLE` SQL commands to set up the appropriate schema.

Step 6: Insert Data into MySQL

Use a programming language, such as Python, with a MySQL connector library (like `mysql-connector-python`) to insert data into your MySQL database. Construct `INSERT` SQL statements or use parameterized queries to securely and efficiently load the data into the database.

Step 7: Schedule Regular Data Transfers

To keep your MySQL database updated with the latest data from Lever, set up a cron job or a scheduled task to repeat the data retrieval and insertion process at regular intervals. This can be done using scripts that automate the process, ensuring your data remains current without manual intervention.

By following these steps, you can effectively transfer data from Lever Hiring to a MySQL database using built-in APIs and standard programming practices, without relying on third-party connectors or integrations.