Trusted by data-driven companies
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.
- Inconsistent and inaccurate data
- Laborious and expensive
- Brittle and inflexible
- 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
What sets Airbyte Apart
Modern GenAI Workflows
Move Large Volumes, Fast
An Extensible Open-Source Standard
Full Control & Security
Fully Featured & Integrated
Enterprise Support with SLAs
What our users say
"The intake layer of Datadog’s self-serve analytics platform is largely built on Airbyte.Airbyte’s ease of use and extensibility allowed any team in the company to push their data into the platform - without assistance from the data team!"
“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.”
“We chose Airbyte for its ease of use, its pricing scalability and its absence of vendor lock-in. Having a lean team makes them our top criteria. The value of being able to scale and execute at a high level by maximizing resources is immense”
- Install MySQL Server: If you haven’t already, install MySQL on your server or local machine. You can download it from the official MySQL website.
- Create a Database: Log into your MySQL server and create a new database where you will store the HubSpot data:
CREATE DATABASE hubspot_data; - Create Tables: Define the structure of the tables that will hold the data you want to import from HubSpot. Ensure that the schema matches the data you’ll be extracting.
USE hubspot_data;
CREATE TABLE contacts (
id INT PRIMARY KEY,
firstname VARCHAR(255),
lastname VARCHAR(255),
email VARCHAR(255),
-- Add other fields as necessary
);
- Get HubSpot API Key: Log into your HubSpot account, navigate to the API key section, and generate an API key if you haven’t done so already.
- Plan Your API Calls: Determine which endpoints you’ll need to use to extract the necessary data. For example, you might use the Contacts API to get contact information.
- Write a Script to Call the HubSpot API: You can use a programming language like Python to write a script that makes requests to the HubSpot API. Here’s a sample Python script using the requests library:
import requests
import json
HUBSPOT_API_KEY = 'your_api_key'
ENDPOINT = 'https://api.hubapi.com/contacts/v1/lists/all/contacts/all'
PARAMS = {
'hapikey': HUBSPOT_API_KEY
}
response = requests.get(ENDPOINT, params=PARAMS)
data = response.json()
contacts = data['contacts']
# Extract the relevant data from the contacts
# You might need to handle pagination if there are many contacts - Handle Pagination: HubSpot’s API might paginate the data, so ensure your script handles this by looping through all pages of data.
- Extract and Format Data: Convert the extracted data into a format suitable for insertion into your MySQL database, such as a list of dictionaries or a CSV file.
- Connect to MySQL: Use a MySQL client library in your chosen programming language to connect to your MySQL database. For Python, you can use mysql-connector-python or PyMySQL.
import mysql.connector
cnx = mysql.connector.connect(
user='your_username',
password='your_password',
host='127.0.0.1',
database='hubspot_data'
)
cursor = cnx.cursor() - Prepare Insert Statements: Write a function or a script to insert the formatted data into your MySQL tables. Be cautious about SQL injection and use parameterized queries.
add_contact = ("INSERT INTO contacts "
"(id, firstname, lastname, email) "
"VALUES (%s, %s, %s, %s)")
for contact in contacts:
contact_data = (contact['id'], contact['firstname'], contact['lastname'], contact['email'])
cursor.execute(add_contact, contact_data)
cnx.commit() - Handle Data Types and Encoding: Ensure that the data types from the API match the corresponding MySQL column data types. Also, handle any character encoding issues.
- Error Handling: Implement error handling in your script to manage any issues that arise during the data transfer process, such as connection problems or data inconsistencies.
- Close Connections: After the data has been successfully inserted, close the cursor and the connection to the MySQL database.
cursor.close()
cnx.close()
- Test the Script: Run your script in a controlled environment first to ensure it works as expected. Test with a small subset of data if possible.
- Validate the Data: After running the script, check the MySQL database to confirm that the data has been correctly inserted and that there are no discrepancies.
- Optimize Performance: Depending on the volume of data, you might need to optimize your script and MySQL queries for better performance.
If you need to keep the MySQL database in sync with HubSpot data regularly, you can schedule the script to run at specific intervals using cron jobs (on Linux) or Task Scheduler (on Windows).
FAQs
What is ETL?
ETL, an acronym for Extract, Transform, Load, is a vital data integration process. It involves extracting data from diverse sources, transforming it into a usable format, and loading it into a database, data warehouse or data lake. This process enables meaningful data analysis, enhancing business intelligence.
A platform focused on sales and inbound marketing, Hubspot helps businesses optimize their online marketing strategies for greater visibility to attract more visitors, collect leads, and convert prospects into customers. HubSpot provides a variety of essential services and strategies to move businesses forward, including social media and email marketing, website content management, search engine optimization, blogging, and analytics and reporting. Hubspot is an all-around solution for business teams to grow their customer base through effective marketing.
HubSpot's API provides access to a wide range of data categories, including:
1. Contacts: Information about individual contacts, including their name, email address, phone number, and company.
2. Companies: Information about companies, including their name, industry, and location.
3. Deals: Information about deals, including their stage, amount, and close date.
4. Tickets: Information about customer support tickets, including their status, priority, and owner.
5. Products: Information about products, including their name, price, and description.
6. Analytics: Data on website traffic, email performance, and other marketing metrics.
7. Workflows: Information about automated workflows, including their triggers, actions, and outcomes.
8. Forms: Information about forms, including their fields, submissions, and conversion rates.
9. Social media: Data on social media engagement, including likes, shares, and comments.
10. Integrations: Information about third-party integrations, including their status and configuration.
Overall, HubSpot's API provides access to a wide range of data categories that can be used to improve marketing, sales, and customer support efforts.
What is ELT?
ELT, standing for Extract, Load, Transform, is a modern take on the traditional ETL data integration process. In ELT, data is first extracted from various sources, loaded directly into a data warehouse, and then transformed. This approach enhances data processing speed, analytical flexibility and autonomy.
Difference between ETL and ELT?
ETL and ELT are critical data integration strategies with key differences. ETL (Extract, Transform, Load) transforms data before loading, ideal for structured data. In contrast, ELT (Extract, Load, Transform) loads data before transformation, perfect for processing large, diverse data sets in modern data warehouses. ELT is becoming the new standard as it offers a lot more flexibility and autonomy to data analysts.
What should you do next?
Hope you enjoyed the reading. Here are the 3 ways we can help you in your data journey:
A platform focused on sales and inbound marketing, Hubspot helps businesses optimize their online marketing strategies for greater visibility to attract more visitors, collect leads, and convert prospects into customers. HubSpot provides a variety of essential services and strategies to move businesses forward, including social media and email marketing, website content management, search engine optimization, blogging, and analytics and reporting. Hubspot is an all-around solution for business teams to grow their customer base through effective marketing.
MySQL is an SQL (Structured Query Language)-based open-source database management system. An application with many uses, it offers a variety of products, from free MySQL downloads of the most recent iteration to support packages with full service support at the enterprise level. The MySQL platform, while most often used as a web database, also supports e-commerce and data warehousing applications, and more.
1. First, navigate to the HubSpot source connector page on Airbyte's website.
2. Click on the "Add Source" button to begin the process of adding your HubSpot credentials.
3. Enter a name for your HubSpot source connector and click on the "Next" button.
4. You will be prompted to enter your HubSpot API key. To obtain your API key, log in to your HubSpot account and navigate to the "Settings" page. From there, click on "Integrations" and then "API key." Copy the API key and paste it into the Airbyte connector page.
5. Next, select the HubSpot objects you want to replicate. You can choose from contacts, companies, deals, and more.
6. Once you have selected the objects you want to replicate, click on the "Test" button to ensure that your credentials are working properly.
7. If the test is successful, click on the "Create Source" button to finalize the process.
8. Your HubSpot source connector is now set up and ready to use. You can begin replicating data from your HubSpot account to your destination of choice.
1. First, you need to have a MySQL database set up and running. Ensure that you have the necessary credentials to access the database.
2. Log in to your Airbyte account and navigate to the "Destinations" tab.
3. Click on the "Add Destination" button and select "MySQL" from the list of available connectors.
4. Enter the necessary details such as the host, port, username, password, and database name. Ensure that the details are accurate and match the credentials you have for your MySQL database.
5. Test the connection to ensure that Airbyte can successfully connect to your MySQL database. If the connection is successful, you will receive a confirmation message.
6. Once the connection is established, you can configure the settings for your MySQL destination connector. You can choose to enable or disable certain features such as SSL encryption, bulk loading, and more.
7. You can also set up the schema mapping for your MySQL database. This involves mapping the fields from your source data to the corresponding fields in your MySQL database.
8. Once you have configured the settings and schema mapping, you can start syncing data from your source to your MySQL database. You can choose to run the sync manually or set up a schedule for automatic syncing.
9. Monitor the sync process to ensure that data is being transferred accurately and efficiently. You can view the sync logs and troubleshoot any issues that may arise.
10. Congratulations! You have successfully connected your MySQL destination connector on Airbyte and can now start syncing data from your source to your MySQL database.
With Airbyte, creating data pipelines take minutes, and the data integration possibilities are endless. Airbyte supports the largest catalog of API tools, databases, and files, among other sources. Airbyte's connectors are open-source, so you can add any custom objects to the connector, or even build a new connector from scratch without any local dev environment or any data engineer within 10 minutes with the no-code connector builder.
We look forward to seeing you make use of it! We invite you to join the conversation on our community Slack Channel, or sign up for our newsletter. You should also check out other Airbyte tutorials, and Airbyte’s content hub!
What should you do next?
Hope you enjoyed the reading. Here are the 3 ways we can help you in your data journey:
What should you do next?
Hope you enjoyed the reading. Here are the 3 ways we can help you in your data journey:
Ready to get started?
Frequently Asked Questions
HubSpot's API provides access to a wide range of data categories, including:
1. Contacts: Information about individual contacts, including their name, email address, phone number, and company.
2. Companies: Information about companies, including their name, industry, and location.
3. Deals: Information about deals, including their stage, amount, and close date.
4. Tickets: Information about customer support tickets, including their status, priority, and owner.
5. Products: Information about products, including their name, price, and description.
6. Analytics: Data on website traffic, email performance, and other marketing metrics.
7. Workflows: Information about automated workflows, including their triggers, actions, and outcomes.
8. Forms: Information about forms, including their fields, submissions, and conversion rates.
9. Social media: Data on social media engagement, including likes, shares, and comments.
10. Integrations: Information about third-party integrations, including their status and configuration.
Overall, HubSpot's API provides access to a wide range of data categories that can be used to improve marketing, sales, and customer support efforts.