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Connect Pipedrive to MySQL

Connect Pipedrive 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 Pipedrive API pipeline.

Used by the world's leading companies

Export Pipedrive data to MySQL

Catchr handles extraction, normalization, and loading automatically.

Centralize

Centralize Pipedrive data in MySQL

Bring all your Pipedrive 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 Pipedrive so every dashboard, model, and report works with fresh information.

Analysis

Unify Pipedrive with the rest of your business data

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

Pipedrive metrics and dimensions available in MySQL

Access 18 metrics and 118 dimensions from Pipedrive connectors including Person Open Deals Count, Person Won Deals Count, Person Lost Deals Count, Person Activities Count, Person Done Activities Count, Person Email Message Count, Lead Source Name, Lead Title, Lead Amount, Lead Currency, Deal Owner Name, Deal Organization Name, Deal Expected Close Date, Deal Lost Reason and many more...

18

Metrics availables

118

Dimensions availables

Connect Pipedrive to MySQL in minutes

Move your data from Pipedrive 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 Pipedrive account

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

Client A · Connected sources
5 sources ready
Pipedrive 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 Pipedrive sales pipeline performance in SQL.

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

Pipedrive.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.pipedrive_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 Pipedrive 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.

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Before you schedule the job.

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

What do I need to export Pipedrive data to MySQL?

Register Pipedrive, save the MySQL connection details, and pair both systems in a datastream. The associated job previews and writes the selected columns to "leads".

What does a Pipedrive table in MySQL contain?

Select concrete Pipedrive fields such as Person Active Flat, Person Activities Count, Person Closed Deals Count, 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.

How do scheduled MySQL jobs keep Pipedrive data current?

The "leads" job can begin with a historical Pipedrive fetch and continue on a recurring schedule. Available history and frequency depend on the source API and your plan.

What controls row replacement in a Pipedrive MySQL table?

Select a valid date field when configuring the Pipedrive job for "leads". Catchr deletes and rewrites the scheduled window, limiting duplicate rows across overlapping runs.

How can I model Pipedrive performance with MySQL?

With Pipedrive data, a MySQL query can summarize pipeline value, created deals, won deals, and win rate by owner. Turn Person Active Flat and Person Activities Count into a stable MySQL view that analysts and reporting tools can query repeatedly.

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.

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