Scriptera
AWS DynamoDB and Harvest automations — Data & Spreadsheets
Ready-made scenarios where AWS DynamoDB and Harvest work for you (data & spreadsheets): pick one — a copy appears in your account and runs on its own.
29 scenarios
- New timers in harvest — Updating records in AWS DynamoDB
- Deleted users in Harvest — Deleting records in AWS DynamoDB
- Updated customers in Harvest — Updating records in AWS DynamoDB
- Stopped: time entries in harvest — Updating records in AWS DynamoDB
- New users in Harvest — Deleting records in AWS DynamoDB
- New contacts in Harvest — Records in AWS DynamoDB
- New contacts in Harvest — Updating records in AWS DynamoDB
- Updated contacts in Harvest — Updating records in AWS DynamoDB
- Updated customers in Harvest — Records in AWS DynamoDB
- New time entries in Harvest — Records in AWS DynamoDB
- New time entries in harvest — Updating records in AWS DynamoDB
- New timers in harvest — Records in AWS DynamoDB
- New customers in Harvest — Deleting records in AWS DynamoDB
- Updated projects in Harvest — Records in AWS DynamoDB
- New form responses in Formstack — Records in AWS DynamoDB
- Assigned: tasks in harvest — Records in AWS DynamoDB
- New projects in Harvest — Records in AWS DynamoDB
- Updated contacts in Harvest — Records in AWS DynamoDB
- New users in Harvest — Updating records in AWS DynamoDB
- New users in Harvest — Records in AWS DynamoDB
- New Harvest land in AWS DynamoDB by themselves
- Updated time entries in harvest — Updating records in AWS DynamoDB
- Stopped: time entries in harvest — Records in AWS DynamoDB
- Deleted users in Harvest — Records in AWS DynamoDB
- New records in AWS DynamoDB — Users in Harvest
- Updated time entries in Harvest — Updating records in AWS DynamoDB
- Updated time entries in harvest — Records in AWS DynamoDB
- New customers in Harvest — Updating records in AWS DynamoDB
- Pipedrive deals — a Harvest contact and a AWS DynamoDB record
