
When this happens...
New Client Is Created

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 a new client is created.
Action is the task that follows automatically within your Heltar integrations.
Retrieve the list of all campaign
Retrieve the list of all clients
Retrieve the list of all templates
Create or update client record
This will fetch all the messages of a particular client.
Send text messages allow to your clients.

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To start, connect both your Heltar and Olostep accounts to viaSocket. Once connected, you can set up a workflow where an event in Heltar triggers actions in Olostep (or vice versa).
Absolutely. You can customize how Heltar 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 Heltar 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 Heltar 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.
Heltar is a cutting-edge platform designed to revolutionize the way businesses manage their operations and enhance productivity. With a focus on seamless integration and user-friendly interfaces, Heltar provides tools and solutions that cater to various business needs, ensuring efficient workflow management and improved collaboration.
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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