QRFY to Snowflake integration
Connect QRFY to Snowflake and automatically sync your application data. Weld extracts data from QRFY, loads it into Snowflake, and lets you transform the data using SQL or dbt, no custom scripts required.
- qr20 cols
- folder5 cols
- qr_data_link_list45 cols
- qr_data_coupon31 cols
- qr_data_event30 cols
- qr_data_business27 cols
- Extract
- Load
- Keep in sync
- qrfy.qrSynced
- qrfy.folderSyncing
- qrfy.qr_data_link_listSynced
- qrfy.qr_data_couponSynced
- qrfy.qr_data_eventSynced
- qrfy.qr_data_businessSynced
- QRFY tables
- 47
- fields, typed
- 436
- relationships kept
- 1
- agent context included
- MCP
Trusted by data and AI teams
How to set up QRFY to Snowflake in Weld.
In the app, with the API or an agent.
Why sync QRFY to Snowflake?
Ready for analysis.
Centralizing your QRFY data in Snowflake lets you join it with other data sources for cross-platform analytics and deeper insights.
Build reliable dashboards and reports by querying QRFY data directly in Snowflake using SQL or your preferred BI tool.
Centralized data warehouse
Bring QRFY data into Snowflake alongside other sources to create a single source of truth for your organization.
Automated reporting
Replace manual exports and spreadsheet-based reporting with automated pipelines from QRFY to Snowflake. Connect BI tools like Looker, Metabase, or Power BI.
What data can you sync?
Every QRFY table, keys intact.
Weld syncs the objects the QRFY connector exposes into Snowflake, and you choose which tables and fields to include. The connector's docs list what is available.
- qr
- folder
- qr_data_link_list
- qr_data_coupon
- qr_data_event
- qr_data_business
- qr_data_vcard_plus
- qr_style
- qr_data_social
- analytics
- qr_data_mp3
- qr_data_vcard
- qr_data_app
- qr_data_video
- qr_data_pdf
- qr_data_feedback
- qr_data_menu
- qr_data_images
- qr_data_email
- qr_data_video_video
- qr_data_wifi
- qr_data_business_social
- qr_data_feedback_category
- qr_data_link_list_link
- qr_data_menu_social
- qr_data_social_social
- qr_data_vcard_plus_phone
- qr_data_vcard_plus_social
- qr_data_sms
- qr_data_whatsapp
- and 17 more
Ask your agent.
It queries Snowflake for you.
Connect Claude, Cursor, ChatGPT or your own agent to Weld over MCP. It reads the QRFY context, finds the tables it needs and runs the query in Snowflake.
How many qr rows do we have per folder? Use our QRFY data in Snowflake.
Reading the QRFY context first, so the query uses the right tables and keys.
Technical considerations.
What to expect.
- Incremental syncing
- Weld uses incremental syncing where supported by the QRFY API, loading only new and updated records to minimize data transfer and warehouse costs.
- Schema handling
- Weld automatically manages schema changes. If QRFY adds new fields, they're detected and added to the corresponding Snowflake tables.
- Data freshness
- Sync frequency depends on your Weld plan. Most connectors support schedules from every 5 minutes up to daily intervals.
- Security
- All data is encrypted in transit (TLS) and at rest. Weld is SOC 2 Type II compliant and supports IP whitelisting for database connections.
Keep reading.
Guides, docs and schema.
Common questions.
About QRFY to Snowflake.
Start syncing QRFY to Snowflake.
Set up your QRFY data pipeline in minutes. No credit card required. Free for 14 days.