TL;DR Short answer: most tools can pull Pipedrive deals and contacts. The differences that matter are whether the token can see the whole company's data, how custom fields come through, and whether deal history is kept for pipeline and forecast reporting. Eight options:
Airbyte Fivetran Stitch Hevo Data Sling Coupler.io Zapier Pipedrive Insights and exports The Pipedrive constraint: an API token only sees what its user can see, and custom fields arrive under hashed keys, so use a dedicated user with full visibility and map field keys to names in the warehouse. Pipedrive ETL tools move deals, contacts, organizations, activities, leads and pipeline configuration out of Pipedrive and into a warehouse or spreadsheet. There sales data can be joined with marketing, billing and product data for conversion, forecast and revenue reporting that goes beyond Pipedrive's own Insights.
Why move Pipedrive data into a warehouse? Pipedrive's Insights show pipeline and activity within the CRM. Revenue teams usually need more: which marketing sources produce deals that close, how long deals sit in each stage over time, whether rep activity predicts win rates, and how closed revenue compares with billing. Those answers need Pipedrive data next to ad, billing and product data, with deal history kept over time.
How do the Pipedrive ETL tools compare? Tool Best destination Incremental sync Deployment Pricing model Airbyte Warehouse, lake or database Yes, from a start date Cloud, self-hosted, Enterprise Flex Free self-hosted; Cloud volume-based; Pro and Flex capacity-based Fivetran Warehouse Yes Cloud, hybrid Monthly active rows Stitch Warehouse Yes Cloud Rows per month Hevo Data Warehouse Yes Cloud Events Sling Database or warehouse Yes, deals and activities Self-hosted or Sling Platform Free CLI; paid platform Coupler.io Sheets, Excel, BigQuery Scheduled refresh Cloud Subscription by imports Zapier Other apps New events only Cloud Tasks per month Pipedrive Insights CSV or Excel Manual exports Pipedrive web app Included with Pipedrive plan
Which Pipedrive ETL tools should you consider? Eight options, from warehouse ELT to manual exports:
1. Airbyte Airbyte is an open-source ELT platform with 700+ connectors. Its Pipedrive source syncs deals, persons, organizations, activities, leads, notes, products, pipelines, stages, users and field definitions. Setting a start date turns on incremental sync, so daily runs read only records that changed.
You authenticate with an API token or through OAuth with a Pipedrive private app. The field definition streams let you map Pipedrive's hashed custom field keys to readable names in the warehouse. Airbyte runs self-hosted, on Airbyte Cloud or as Enterprise Flex inside your own environment.
Pros Cons Core CRM objects plus field definitions No incremental deletes Incremental sync from a start date Token sees only what its user can see Pipedrive next to marketing, billing and 700+ other sources Custom field keys need mapping in the warehouse
2. Fivetran Fivetran is a fully managed ELT service with a Pipedrive connector that loads deals, persons, organizations and activities into a standard warehouse schema, handling authentication and schema changes for you. Fivetran completed its merger with dbt Labs in June 2026.
Pros Cons Fully managed, with a standard schema Monthly active row pricing grows with CRM activity Handles schema changes automatically Connector behaviour cannot be modified Pairs naturally with dbt for modelling Warehouse-only destinations
3. Stitch Stitch is a simple, hosted extract-and-load service built on the Singer specification, with a Pipedrive integration among its 140+ connectors. Qlik acquired Stitch with Talend in 2023 and now publishes a migration path to Qlik Talend Cloud, which is worth weighing before starting a new pipeline on it.
Pros Cons Quick to set up for a single company account No transformation layer Published, tier-based pricing Product line being consolidated into Qlik Talend Cloud Familiar to teams already using Singer taps Narrower catalogue than larger platforms
4. Hevo Data Hevo Data is a no-code managed pipeline platform with 150+ connectors, including Pipedrive. Our Hevo vs Airbyte comparison covers how the two differ on pricing and deployment. It can transform data before it loads, using Python or a drag-and-drop editor, and prices on events, with a free tier for small volumes. Low-code platforms such as Integrate.io take a similar approach; see our Integrate.io vs Airbyte comparison.
Pros Cons No-code setup for sales ops teams Event-based pricing grows with CRM activity Transformation before load Cloud-only, with no self-hosted option Free tier for small teams Smaller catalogue than Airbyte or Fivetran
5. Sling Sling is an open-source command-line tool for moving data between databases, files and APIs. Its Pipedrive connector covers deals, persons, organizations, activities, leads, products and pipeline configuration, with incremental sync for deals and activities, and pipelines are defined in YAML.
Pros Cons Free, open-source CLI Smaller community than the largest ELT tools Incremental deals and activities You run and schedule it yourself Pipelines defined in YAML Fewer managed features without the paid platform
6. Coupler.io Coupler.io exports Pipedrive data into Google Sheets, Excel, Looker Studio and BigQuery on a schedule. It suits small sales teams that build pipeline and forecast reports in spreadsheets and want them refreshed automatically.
Pros Cons Spreadsheet and Looker Studio destinations Less suited to large CRMs and deal history No-code, scheduled refreshes Pricing tied to import volume and frequency Quick to set up for sales teams Limited transformation beyond basic filters
7. Zapier Zapier connects Pipedrive to 8,000+ apps through triggers such as new deals, updated deal stages, new people and new activities. It is ideal for operational flows, like creating an invoice when a deal is won, but it does not backfill history or model data for analytics.
Pros Cons Fastest no-code setup for simple flows No historical backfill Real-time triggers in both directions Task-based pricing grows with activity Connects Pipedrive to 8,000+ apps Not built for analytics-grade pipelines
8. Pipedrive Insights and exports Pipedrive's Insights reports cover deal progress, conversion, activities and revenue forecasts, and list views can be exported to CSV or Excel. They are the quickest way to answer a one-off question, but exports are manual and cannot be joined with marketing or billing data automatically. Teams that outgrow built-in reports and are pricing an all-in-one BI suite often compare Domo competitors at this point.
Pros Cons Built in, with no extra tools Manual exports Familiar pipeline and forecast views No automatic history or refresh No setup beyond Pipedrive access Cannot be joined with other data automatically
What should you check before syncing Pipedrive? Most Pipedrive reporting gaps come from permissions, field structure and history. Check these first:
Token visibility: a Pipedrive API token sees only what its user can see. Create the token on a dedicated user with visibility across all deals, people and organizations, or numbers will be quietly incomplete.Authentication: use an API token or OAuth through a private app, never a user's password. Your company admin may need to enable API access for the user first.Custom field keys: custom fields come through under hashed keys rather than readable names. Sync the field definition streams and map keys to labels in the warehouse.Deal history: current deal state is not enough for stage duration or forecast accuracy. Keep snapshots or use deal history data so you can see how deals moved through stages.Deletes: deleted deals and contacts are not removed incrementally. Re-sync periodically or filter on deleted flags if exact counts matter.Rate limits: Pipedrive's API limits depend on your subscription plan. Large accounts take longer to backfill, so set a sensible start date for the first sync.Pipedrive's API exposes the full sales model, including:
Deals: value, currency, stage, pipeline, owner, status, expected close date and custom fields. Persons and organizations: contacts and accounts with owners, labels and custom fields. Activities: calls, meetings, tasks and emails linked to deals and contacts, used for rep activity reporting. Leads: unqualified opportunities in the leads inbox before they become deals. Pipelines and stages: the structure deals move through, needed for conversion and stage duration analysis. Products, notes and users: line items on deals, notes on records, and the users who own them. How do you start pulling data from Pipedrive? If you decide to test Airbyte, setting up a Pipedrive pipeline takes three steps.
Step 1: Set up Pipedrive as a source In Pipedrive, create a dedicated user with visibility across your data and copy its API token from Personal preferences, under API. In Airbyte, open Sources, choose New source and select Pipedrive , enter the token, or authenticate through a private app with OAuth, and set a start date in UTC to enable incremental sync.
Step 2: Set up a destination Pick where your Pipedrive data should land: a warehouse such as BigQuery, Snowflake or Databricks, a database, or another Airbyte destination.
Step 3: Configure the connection Select deals, persons, organizations, activities, leads, pipelines, stages and the field definition streams, use incremental sync with deduplication, and schedule daily or hourly runs. The process is the same whether you deploy Airbyte Open Source or start with Airbyte Cloud .
Which Pipedrive ETL tool should you choose? For revenue analytics that join Pipedrive with marketing, billing and product data, use a warehouse tool: Airbyte for control and broad destinations, Fivetran for a managed pipeline, Hevo for a no-code setup, or Sling for a lightweight open-source CLI. Stitch still works for simple setups, with its future under Qlik in mind. Sales teams reporting in spreadsheets will move fastest with Coupler.io, Zapier suits operational automations, and Pipedrive Insights covers one-off questions.
For a wider view of the market, see our guide to the top data integration tools .
Sync Pipedrive to your warehouse with Airbyte Replicate Pipedrive deals, contacts, organizations, activities and field definitions incrementally, next to your marketing, billing and 700+ other sources, self-hosted, on Airbyte Cloud or with Enterprise Flex.
Try Airbyte Cloud free for 14 days or talk to our team .
Frequently Asked Questions (FAQs) 1. Why is my Pipedrive export missing deals? An API token only sees the data its user can see. If the user's visibility settings exclude some deals, people or organizations, they will be missing from every sync. Use a dedicated user with company-wide visibility.
2. How do you export Pipedrive data to BigQuery or Snowflake? Connect Pipedrive to an ELT tool such as Airbyte, Fivetran or Hevo with an API token or OAuth, choose BigQuery or Snowflake as the destination, and run incremental syncs from a start date.
3. Why do Pipedrive custom fields have strange names in the warehouse? Pipedrive identifies custom fields with hashed keys rather than labels. Sync the deal, person and organization field definitions and use them to map keys to readable names in your models.
4. Can you export Pipedrive data to Google Sheets? Yes. For one-off needs, export a list view to CSV or Excel from Pipedrive. For scheduled refreshes, Coupler.io sends Pipedrive data to Google Sheets, while ELT tools suit larger accounts and warehouses.
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