
When this happens...
Column Value Updates
New Row Is Added
Record Is Updated
Record Is Deleted

Automatically do this!
Scrape Website
Generate AI Answer
Start Web Crawl
Get Crawl Info
Create Map
Batch URL Scraper
Fetch Batch Items
When this happensTriggers
A trigger is an event that starts a workflow.
Runs when column value updates
Runs when new row is added
Runs when record is updated
Runs when record is deleted
Action is the task that follows automatically within your viaSocket Table integrations.
Add row to selected table
Change values for a table row.
Remove one or more rows from the selected table using comma-separated row IDs.
Get table rows by filters
Retrieve columns for a table
List all rows in a table

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To start, connect both your viaSocket Table and Olostep accounts to viaSocket. Once connected, you can set up a workflow where an event in viaSocket Table triggers actions in Olostep (or vice versa).
Absolutely. You can customize how viaSocket Table data is recorded in Olostep. This includes choosing which data fields go into which fields of Olostep, setting up custom formats, and filtering out unwanted information.
The data sync between viaSocket Table and Olostep 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 viaSocket Table and Olostep. 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.
Dbdash is a comprehensive dashboard application designed to provide insights and analytics for your database. It enables users to visualize data and track key performance indicators effectively.
Learn MoreOlostep is a web data platform that enables developers and AI systems to search, crawl, and extract structured data from the public web at scale. It provides APIs for real-time web scraping, site crawling, batch data extraction, and AI-ready search with source grounding, making it ideal for powering AI agents, research workflows, and data pipelines.
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