Connect Pipefy and Elasticsearch to Build Intelligent Automations
Choose a Trigger
When this happens...
- Request a new Trigger for Pipefy
Choose an Action
Automatically do this!
Create Document
Create Document ( without selecting index)
Bulk Add Documents to an index
Delete Index
Create Index
Search (Fuzzy search)
Update Document
Bulk update documents
Bulk delete documents
Bulk Add Documents With Document Id
Enable Integrations or automations with these events of Pipefy and Elasticsearch
Enable Integrations or automations with these events of Pipefy and Elasticsearch
Actions
Create Record
Creates a new table record.
Create Card
Creates a new card.
Delete Card
Delete a card using card id.
Update Card
Updates a card Title.
Find Card
Finds a card by Title.
Create Document
create a doc
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Frequently Asked Questions
To start, connect both your Pipefy and Elasticsearch accounts to viaSocket. Once connected, you can set up a workflow where an event in Pipefy triggers actions in Elasticsearch (or vice versa).
Absolutely. You can customize how Pipefy data is recorded in Elasticsearch. This includes choosing which data fields go into which fields of Elasticsearch, setting up custom formats, and filtering out unwanted information.
The data sync between Pipefy and Elasticsearch typically happens in real-time through instant triggers. And a maximum of 15 minutes in case of a scheduled trigger.
Yes, viaSocket allows you to add custom logic or use built-in filters to modify data according to your needs.
Yes, you can set conditional logic to control the flow of data between Pipefy and Elasticsearch. For instance, you can specify that data should only be sent if certain conditions are met, or you can create if/else statements to manage different outcomes.
About Pipefy
The easy button for processes and workflows Easily organize and run all your processes in one place, leaving the inefficient patchwork of apps, forms, spreadsheets and e-mail threads forever in the past
Learn MoreAbout Elasticsearch
Elasticsearch is a powerful, open-source search and analytics engine built on Apache Lucene. It is designed for horizontal scalability, real-time search, and support for multi-tenant environments.
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