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PayPal to Snowflake integration for analytics-ready payments data

The PayPal to Snowflake integration from Adapters loads transactions, fees, refunds, and payer detail from the PayPal Transaction Search API into Snowflake tables on an incremental schedule, so revenue and reconciliation models read a full history instead of downloading activity reports by hand. Field mapping is no-code.

Field mapping auto-plugged · tap a port to rewire

5 sample records ready

Last updated July 2026

What running PayPal to Snowflake by hand costs you

  • The PayPal Transaction Search API caps each request to a 31-day window, so backfilling a year of activity means chaining many paged calls.
  • Fees, refunds, and holds sit in separate transaction events, and reconciling them to gross sales in a spreadsheet is slow and error-prone.
  • Finance needs PayPal alongside Stripe and bank data in one warehouse to see true net revenue, not three separate exports.

The field mapping, out of the box

These cables are pre-wired when you pick the pair. Rewire any of them, or add your own, in the same visual data mapping tool you use for every adapter.

Input / PAYPAL

transaction.transaction_id
FCT_TRANSACTION.transaction_id
transaction.amount.value
FCT_TRANSACTION.amount
transaction.initiation_date
FCT_TRANSACTION.created_at
transaction.fee_amount.value
FCT_TRANSACTION.fee
payer.email_address
DIM_PAYER.email
transaction.updated_date
FCT_TRANSACTION.loaded_at

Transforms included

Incremental loads page the PayPal Transaction Search API in 31-day windows using the updated date so each run only pulls new and changed activity; amount and fee strings cast to Snowflake NUMBER, currency codes carry through, ISO 8601 timestamps become TIMESTAMP_NTZ in UTC, and fees join to their transaction so gross, fee, and net models read one deduplicated table.

How it goes live

Three steps, minutes end to end, covered by flat data integration pricing from $49 a month.

STEP 01

Pick the pair

Connect PayPal and Snowflake with scoped credentials. About a minute each.

STEP 02

Confirm the mapping

The cables above are pre-wired. Adjust any field, preview the transform on sample records, done.

STEP 03

Schedule the sync

Hourly down to every minute, with retries, alerting, and a full log on every run.

Try it in the live demo Preloads PAYPAL → SNOWFLAKE with sample records

PayPal to Snowflake sync: common questions

How does the PayPal to Snowflake sync work?

The PayPal to Snowflake integration from Adapters loads transactions, fees, refunds, and payer detail from the PayPal Transaction Search API into Snowflake tables on an incremental schedule, so revenue and reconciliation models read a full history instead of downloading activity reports by hand. Field mapping is no-code.

How much does the PayPal Snowflake integration cost?

Pricing is flat and monthly: Starter at $49, Growth at $149, Scale at $399. Every plan includes this pair, visual field mapping, and per-record logs. There are no per-task or per-row fees, so the bill stays the same as volume grows.

How often can Adapters sync PayPal to Snowflake?

Hourly on Starter, every 5 minutes on Growth, and down to every minute on Scale. Failed records retry automatically with backoff, and alerting plus a full per-record log come standard on every run.

Do I need to write code to connect PayPal and Snowflake?

No. Fields are auto-mapped the moment you pick the pair, and you can rewire any mapping visually before the first sync. Incremental loads page the PayPal Transaction Search API in 31-day windows using the updated date so each run only pulls new and changed activity; amount and fee strings cast to Snowflake NUMBER, currency codes carry through, ISO 8601 timestamps become TIMESTAMP_NTZ in UTC, and fees join to their transaction so gross, fee, and net models read one deduplicated table.

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Browse the full api connector library, or request a pair you do not see.

PayPal and Snowflake, finally in agreement

Map the pair once and let it sync on schedule. Flat price from $49 a month, no per-task fees.

Try the live demo

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