Connect Browse AI and Nanonets to Build Intelligent Automations
Choose a Trigger
When this happens...
New Tasks
Table Export
Choose an Action
Automatically do this!
- Request a new Action for Nanonets
Enable Integrations or automations with these events of Browse AI and Nanonets
Enable Integrations or automations with these events of Browse AI and Nanonets
Triggers
New Tasks
Triggers when a task is finished successfully.
Table Export
Triggers when a table export successfully .
Actions
Bulk Run Tasks
Bulk runs up to 50,000 tasks using a robot.
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Frequently Asked Questions
To start, connect both your Browse AI and Nanonets accounts to viaSocket. Once connected, you can set up a workflow where an event in Browse AI triggers actions in Nanonets (or vice versa).
Absolutely. You can customize how Browse AI data is recorded in Nanonets. This includes choosing which data fields go into which fields of Nanonets, setting up custom formats, and filtering out unwanted information.
The data sync between Browse AI and Nanonets 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 Browse AI and Nanonets. 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 Browse AI
Browse.ai is a powerful tool designed to automate web data extraction and monitoring. It allows users to easily capture and track data from websites without the need for coding, making it ideal for businesses and individuals looking to streamline their data collection processes.
Learn MoreAbout Nanonets
Nanonets is a cutting-edge AI platform that specializes in automating data extraction and processing using machine learning models. It allows businesses to streamline their workflows by converting unstructured data into structured formats, enhancing efficiency and accuracy in data handling.
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