TL;DR Short answer: Square holds payments, orders, refunds, catalog and team data, all reachable through the Square API with an access token or OAuth. The differences between tools are which objects sync incrementally, how deleted catalog items are handled, and whether the data lands in a warehouse or a spreadsheet. Eight options:
Airbyte Fivetran Windsor.ai Coupler.io Meltano Zapier Square Dashboard reports Custom code with the Square API The Square constraint: a sale spans several objects (orders, payments, refunds, catalog items and locations), and catalog changes and deletions affect past reporting, so sync them together and decide how to treat deleted items. Square ETL tools, also called Square connectors or Square integrations, move payments, orders, refunds, customers, catalog items and team data out of Square and into a warehouse or spreadsheet. Most read the Square API, the same Square POS API used by point-of-sale apps, and land the data next to accounting, marketing and online store data for a full view of the business.
Why move Square data beyond Square reporting? Square reporting and analytics in the Dashboard cover sales summaries, item sales and payment methods by location. Multi-location and omnichannel businesses usually need more: margin after fees and refunds, item performance across years, staff productivity from shifts and sales, and in-store sales next to online orders and marketing spend. Those answers need Square data joined with other systems in one place.
How do the Square ETL tools compare? Tool Best destination Incremental sync Deployment Pricing model Airbyte Warehouse, lake or database Payments, refunds and catalog Cloud, self-hosted, Enterprise Flex Free self-hosted; Cloud volume-based; Pro and Flex capacity-based Fivetran Warehouse Yes Cloud, hybrid Monthly active rows Windsor.ai BigQuery, Snowflake, Sheets, BI tools Scheduled refresh Cloud Subscription by data volume Coupler.io Sheets, Excel, BigQuery, Snowflake Scheduled refresh Cloud Subscription by imports Meltano Any supported target Depends on tap variant Self-hosted Free, open source Zapier Other apps New events only Cloud Tasks per month Square Dashboard reports CSV download Manual exports Square Dashboard Included with Square Custom code Anywhere you send it Whatever you build Wherever you run it Free, engineering time
Which Square ETL tools should you consider? Eight options, from warehouse ELT to Square's own reports:
1. Airbyte Airbyte is one of the leading open-source ELT tools , with 700+ connectors. Its Square source syncs payments, refunds, items, categories, discounts, taxes and modifier lists incrementally, and orders, customers, locations, team members, wages and shifts with full refresh. An option includes deleted catalog objects, so discontinued items still appear in historical reporting.
You authenticate with a personal access token from your Square application or with OAuth, and choose sandbox or production. Airbyte fits when Square needs to sit next to online store, accounting and marketing data, self-hosted, on Airbyte Cloud or as Enterprise Flex.
Pros Cons Incremental payments, refunds and catalog Orders and customers sync with full refresh Option to include deleted catalog objects No published Square rate limit to plan around Square next to ecommerce, accounting and 700+ other sources Transformation happens in the warehouse
2. Fivetran Fivetran is a fully managed ELT service with a Square connector that loads payments, orders, customers and catalog data 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 transaction volume Handles schema changes automatically Connector behaviour cannot be modified Pairs naturally with dbt for modelling Warehouse-only destinations
3. Windsor.ai Windsor.ai is a no-code data integration platform whose Square connector syncs data into BigQuery, Snowflake, Redshift, Google Sheets, Looker Studio, Power BI and other destinations. It suits teams that want Square next to ad platforms and CRMs for reporting without building pipelines.
Pros Cons No-code, set up in minutes Focused on reporting rather than raw replication Many warehouse, sheet and BI destinations Pricing depends on data volume Square next to ad platforms and CRMs Less control than general-purpose ELT
4. Coupler.io Coupler.io exports Square payments, orders, customers, shifts and catalog data into Google Sheets, Excel, BigQuery, Snowflake, PostgreSQL and Redshift on a schedule, refreshing as often as every 15 minutes. It can blend Square with other sources, such as ad spend, before loading. For spreadsheet-led reporting, see our guide to Google Sheets ETL tools .
Pros Cons Spreadsheet and warehouse destinations Less suited to very large transaction histories Refreshes as often as every 15 minutes Pricing tied to import volume and frequency Blends Square with other sources Limited transformation beyond blending
5. Meltano Meltano is an open-source, CLI-first data integration tool that runs extractors and loaders from configuration kept in Git. Its tap-square extractor, including a variant that wraps Airbyte's connector, loads Square into any supported target, which suits teams that want pipelines reviewed like code.
Pros Cons Free, open source and fully self-hosted You run and schedule it yourself Pipelines defined in code and version-controlled CLI-first, with no managed option Works with dbt for modelling Coverage depends on the tap variant
6. Zapier Zapier connects Square to 8,000+ apps through triggers such as new payments, new orders and new customers. It is ideal for operational flows, like adding in-store customers to an email list, 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 on payments and customers Task-based pricing grows with transactions Connects Square to 8,000+ apps Not built for analytics-grade pipelines
7. Square Dashboard reports The Square Dashboard includes sales summaries, item sales, payment methods, discounts and team reports, and the transactions list can be exported to CSV. It is the quickest way to pull a Square sales report for one-off questions, but exports are manual and cannot be joined with other systems automatically.
Pros Cons Built in, with no extra tools Manual CSV exports Ready-made sales and item reports Limited to Square data No setup beyond Square access Cannot be joined with other data automatically
8. Custom code with the Square API The Square API covers payments, orders, catalog, customers, inventory, labor and more, and Square webhooks push events such as payment created or order updated as they happen. Custom code suits narrow needs, such as a real-time sales feed, but you own pagination, retries, API versioning and maintenance.
Pros Cons Full control over endpoints and fields You own pagination, retries and scheduling Webhooks for real-time payment and order events API versions change over time No licence cost Ongoing maintenance
How do you get Square data into Snowflake or BigQuery? Neither warehouse reads Square directly, so Square to Snowflake or BigQuery pipelines run through an ELT tool such as Airbyte or Fivetran, or a reporting connector such as Windsor.ai or Coupler.io. Sync payments, orders, refunds and catalog together so revenue and item reporting reconcile. For warehouse-specific options, see our guide to Snowflake ETL tools .
How do you export Square sales and transactions? For a one-off Square sales report, open the Dashboard reports or the transactions list and export to CSV. For a sheet that stays up to date, use Coupler.io or Windsor.ai, and for analysis across locations and years, sync Square into a warehouse with an ELT tool. Many businesses then reconcile Square payouts with their accounting system, which our guide to QuickBooks ETL tools covers.
What should you check before syncing Square? Most Square pipeline problems come from access, object structure and catalog changes. Check these first:
Access tokens and OAuth: use a personal access token from a Square application you control, or OAuth for apps used by several sellers. Keep sandbox and production tokens separate, because sandbox data is not real.Orders versus payments: an order describes what was sold and a payment describes how it was paid, with refunds as separate objects. Join them carefully so revenue, refunds and tips are not double counted.Deleted catalog objects: items, categories, discounts and taxes can be deleted after they were sold. Include deleted objects if historical item reports must stay complete.Locations: multi-location businesses should sync locations and keep location IDs on every table, so sales can be reported by store.Fees and payouts: processing fees and payouts affect margin and cash. Make sure fee fields arrive, and reconcile payouts with your bank and accounting data.API versions and rate limits: the Square API is versioned and throttles heavy use. Use incremental syncs where available and schedule large backfills off-peak.The Square API exposes the core of a Square business, including:
Payments and refunds: amounts, tips, fees, card brands, statuses and timestamps. Orders: line items, modifiers, discounts, taxes, fulfilment and source channel. Catalog: items, variations, categories, modifier lists, discounts and taxes. Customers: profiles, groups and contact details for loyalty and marketing. Locations: stores, addresses and business hours for multi-location reporting. Team and labor: team members, wages and shifts for staffing and productivity analysis. How do you start pulling data from Square? If you decide to test Airbyte, setting up a Square pipeline takes three steps.
Step 1: Set up Square as a source In the Square Developer Dashboard, create an application and copy its production access token, or plan to authenticate with OAuth. In Airbyte, open Sources, choose New source and select Square , enter the token, choose production rather than sandbox, set a start date and decide whether to include deleted catalog objects.
Step 2: Set up a destination Pick where your Square data should land: a warehouse such as Snowflake, BigQuery or Databricks, a database, or another Airbyte destination.
Step 3: Configure the connection Select payments, refunds, orders, catalog, customers and locations, use incremental sync where available, and schedule daily or hourly runs. The process is the same whether you deploy Airbyte Open Source or start with Airbyte Cloud .
Which Square ETL tool should you choose? For multi-location analytics joined with online store, accounting and marketing data, use Airbyte for control and broad destinations, Fivetran for a managed pipeline, or Meltano for pipelines in code. Teams reporting in sheets and BI tools will move fastest with Coupler.io or Windsor.ai, Zapier suits operational automations, and Square's own reports cover one-off questions. If you also sell online, see our guides to Stripe ETL tools , Shopify ETL tools and WooCommerce ETL tools .
For a wider view of the market, see our guide to the best data integration tools .
Sync Square to your warehouse with Airbyte Replicate Square payments, orders, refunds and catalog data, with incremental syncs and deleted-item handling, next to your online store, accounting 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. Is there a Square POS API for exporting sales data? Yes. The Square API, used by Square Point of Sale, exposes payments, orders, refunds, catalog, customers and team data. ELT tools such as Airbyte and Fivetran read it to load sales data into a warehouse.
2. How do you export a Square sales report? For a one-off report, export the sales summary or transactions list from the Square Dashboard to CSV. For reports that refresh automatically, use a connector such as Coupler.io or Windsor.ai, or sync Square into a warehouse.
3. How do you connect Square to Snowflake? Create a Square application and access token, or use OAuth, then connect it to an ELT tool such as Airbyte or Fivetran with Snowflake as the destination. Sync payments, orders, refunds and catalog together so reports reconcile.
4. What are Square webhooks used for? Square webhooks send events, such as a payment being created or an order being updated, to another system in real time. They do not replay history, so pair them with a scheduled sync when you need complete data.
Suggested reads Stripe ETL Tools
Shopify ETL Tools
WooCommerce ETL Tools
QuickBooks ETL Tools
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