Load new records, update changed rows, export CSVs. Every one is ready to run, and you can adjust it in plain language.
Build the daily API review table and flag missing fields.
Your morning extract arrives in a shared table, with missing values marked and a chat message pointing to records that need review.
Update tracked spreadsheet fields and flag missing source values.
Your shared sheet stays current with daily JSON records. Your email shows new and changed row counts and links to entries needing attention.
Reconcile API records by ID and export a current analysis table.
Your shared spreadsheet stays current with the latest JSON feed. Get a matching CSV and a report of what changed.
Import valid spreadsheet rows for analysis and flag entry errors.
Your reporting table gets valid new spreadsheet rows every 15 minutes, with import counts and row-specific fixes waiting in the sheet.
Prepare API response rows for analysis and flag entries with missing fields.
Your Google Sheets table gains valid entries from new JSON responses, with rejected entries listed for review.
Load valid Excel rows into the database and report rejected rows.
Get valid Excel rows into PostgreSQL and a chat report showing how many went in and what needs fixing.
Flatten API results into a spreadsheet and matching CSV for review.
Your teammate gets a shared spreadsheet and matching CSV, with missing values called out instead of buried in raw JSON.
Deliver checked data extracts to colleagues each month.
Get a dated CSV and row count in your shared folder every month, or an error note explaining why the export stopped.
Load new CSV data into a table and flag failed imports.
Keep your PostgreSQL table current as CSV files arrive, with a row count or a clear reason when an import needs attention.
Add validated campaign-day rows to the analysis table.
See which campaign figures reached your analysis table and which rows need attention after your daily Google Ads to BigQuery import.