Home > Destinations > MySQL > Hubspot

Connect Hubspot to MySQL

Connect Hubspot to MySQL and export selected accounts, metrics, and dimensions to your MySQL project.

Configure the historical window, destination table, and recurring schedule without maintaining a Hubspot API pipeline.

Used by the world's leading companies

Export Hubspot data to MySQL

Catchr handles extraction, normalization, and loading automatically.

Centralize

Centralize HubSpot data in MySQL

Bring all your HubSpot data into your warehouse and make it available for analytics, machine learning, and internal applications.

Data freshness

Keep your MySQL tables up to date

Automatically sync new data from HubSpot so every dashboard, model, and report works with fresh information.

Analysis

Unify Hubspot with the rest of your business data

Join marketing, finance, CRM, and product data inside the same warehouse.

Hubspot metrics and dimensions available in MySQL

Access 77 metrics and 759 dimensions from Hubspot connectors including Marketing Email Sent, Marketing Email Delivered, Marketing Email Open, Marketing Email Click, Marketing Email Click Through Ratio, Closed Deal Amount, Deal Closed won count, Contact Original Source, Contact Latest Source Date, Contact First Touch Converting Campaign, Contact Last Touch Converting Campaign, Marketing Email Campaign Name, Deal HubSpot Campaign, Contact Country/Region and many more...

77

Metrics availables

759

Dimensions availables

Connect Hubspot to MySQL in minutes

Move your data from Hubspot to MySQL with a simple setup. Once connected, Catchr handles the ingestion automatically so your warehouse stays up to date without manual work.

Step one

Connect your Hubspot account

Authenticate your Hubspot account securely in Catchr. No custom scripts, API maintenance, or engineering work required.

Client A · Connected sources
5 sources ready
Hubspot 3 advertising accounts Connected
Google Ads 2 advertising accounts Connected
Google Analytics 4 1 web property Connected
HubSpot 1 CRM portal Connected
Step two

Choose the MySQL destination

Connect your existing MySQL database with its host, port, username, password, and database name. Then create the datastream that defines where the selected source data should go.

Destination / MySQL Required fields
Host Required
analytics-db.internal
Username Required
catchr_writer
Password Required
••••••••••••
Database Required
marketing_reporting
Step three

Keep your MySQL tables updated

Choose the fields, initial history, partition field, and recurring schedule for the job. Catchr refreshes the configured import window in your MySQL table.

Export job / MySQL Example
Database Destination
marketing_reporting
Table Per job
google_ads_campaigns
Recurring schedule Choose a cadence
Every 6 hours
Daily · 06:00
Weekly · Mon
Export readySelected fields · configured history
Every 6 hours

Review 30-day Hubspot sales pipeline performance in SQL.

This example summarizes pipeline value, created deals, won deals, and win rate by owner.

HubSpot.sql
BigQuery SQL
30-day window
SELECT
  owner_name,
  SUM(deal_value) AS deal_value,
  SUM(deals_created) AS deals_created,
  SUM(deals_won) AS deals_won,
  SAFE_DIVIDE(
    SUM(deals_won),
    SUM(deals_created)
  ) AS win_rate
FROM `your_project.marketing_raw.hubspot_deals`
WHERE created_date >= DATE_SUB(
  CURRENT_DATE(),
  INTERVAL 30 DAY
)
GROUP BY owner_name
ORDER BY deal_value DESC;
Illustrative SQL — adapt it to the fields and schema selected in your export. Standard SQL

Connect more table to your Hubspot data

Open the dedicated route for each platform. Its field catalog, reporting grain, historical constraints, and warehouse use cases should be specific to that source.

Thank you! Your submission has been received!
Oops! Something went wrong while submitting the form.

Before you schedule the job.

Answers about MySQL setup, available source data, schedules, table updates, and SQL use cases.

How does a Hubspot-to-MySQL workflow work in Catchr?

Connect Hubspot and add MySQL as the stored destination. Create a datastream, then save a job that sends the required records to the "leads" table.

Can I choose the Hubspot columns loaded into MySQL?

Select concrete Hubspot fields such as Company Days to Close, Company Annual Revenue Currency Code, Contact Days To Close, and Day of the month. You can rename the chosen columns, preview the result, and write them to MySQL tables such as accounts, contacts, and companies.

Can I choose both history and frequency for a Hubspot MySQL job?

Choose how far back the first Hubspot load should go and how much recent data each "leads" run should refresh. Catchr splits large backfills into smaller intervals.

Can Catchr refresh only the recent Hubspot rows in MySQL?

For recurring Hubspot loads, assign an eligible partition field to "leads". Otherwise Catchr cannot match the refresh window and will append the returned records.

What business questions can Hubspot data answer in MySQL?

With Hubspot data, a MySQL query can summarize pipeline value, created deals, won deals, and win rate by owner. Join Company Days to Close and Company Annual Revenue Currency Code with shared account or date keys to build a reusable performance model in MySQL.

Does my MySQL database need to exist before I connect it?

Yes. Connect an existing MySQL database first. The Catchr job creates and populates the destination table you configure inside that database.

Can I load several marketing sources into the same MySQL database?

Yes. Create a separate datastream and job for each source, write each export to its own table, then combine the data downstream with SQL, views, or your BI tool.

Still have a question ? 

Our teams is always here to responds to any question you could have about our data connector. 

Your next MySQL reporting table should not start with five exports.

Connect your accounts, choose the fields, then schedule the data your team needs in MySQL.

14 days free-trial
No credit-card required
100+ sources