Excel and CSV import
Use .xlsx, .xls, or .csv files to start a table from records your team already has. Review imported columns and values before rollout.
See how spreadsheet imports, table exports, webhooks, and available APIs can fit into a DataGridly workflow. Integration options depend on the endpoint and the process you want to connect.
Some workflows begin with a spreadsheet. Others need a system-to-system handoff. DataGridly supports file-based workflows and selected integration paths; verify the specific endpoint and payload before planning a production connection.
DataGridly integration flow diagram
Replace with a diagram of spreadsheet import, DataGridly tables, webhooks, and API endpoints.
Each option serves a different point in the workflow. The exact behavior depends on the supported feature and configuration.
Use .xlsx, .xls, or .csv files to start a table from records your team already has. Review imported columns and values before rollout.
Export table data for offline review or another supported downstream use. Confirm which format and fields are available in the export flow.
Use supported webhook endpoints to pass structured events or records between systems. Confirm authentication, event direction, and expected payload for your use case.
Use documented API operations where available. Check current API documentation, access requirements, and rate limits before building an integration.
A short technical check prevents a promising prototype from becoming a fragile business dependency.
Decide which system owns each field and how updates should flow.
Match external fields to DataGridly columns and agree how missing or invalid values should be handled.
Confirm credentials, permissions, expected record volume, and any relevant API limits.
Verify how errors are surfaced and how duplicate or delayed events should be handled before production use.
No such broad claim is made here. Available integrations depend on the current API and webhook capabilities. Check the specific integration before committing to it.
Yes. The table flow accepts .xlsx, .xls, and .csv files. Review the resulting fields and records after import.
That depends on the other product and the available DataGridly API or webhook path. Request a technical review for a specific connection.
Share the systems, data direction, and workflow you want to connect so the integration path can be reviewed.