
When this happens...
User 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.
Trigger when a new user created.
Action is the task that follows automatically within your ChatBot integrations.
Create new story.
Update existing story.
Search Story.
Delete story seach by name.
Create segment.
Adds one or more Users to one or more Segments.

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To start, connect both your ChatBot and Olostep accounts to viaSocket. Once connected, you can set up a workflow where an event in ChatBot triggers actions in Olostep (or vice versa).
Absolutely. You can customize how ChatBot 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 ChatBot 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 ChatBot 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.
ChatBot.com is an AI-powered conversational platform designed to automate customer interactions across multiple channels, including websites, Facebook Messenger, Slack, and more. Developed by LiveChat Software, it enables businesses—particularly small to medium-sized enterprises—to deploy intelligent chatbots without the need for coding expertise.
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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