Connect Dovetail and Olostep to Build Intelligent Automations
Choose a Trigger
When this happens...
New Project
New Insight
Choose an Action
Automatically do this!
Scrape Website
Generate AI Answer
Start Web Crawl
Get Crawl Info
Create Map
Batch URL Scraper
Fetch Batch Items
Ready to use Dovetail and Olostep automations
Actions and Triggers
When this happensTriggers
A trigger is an event that starts a workflow.
New Project
Triggers when a new project is created
New Insight
Do thisActions
Action is the task that follows automatically within your Dovetail integrations.
Create Note
Create Data Point
Add Data to Project
Add Data to Project.
List Tags
List of all tags associated with a workspace
List Insights
List of insights associated with a workspace.
List Contacts
List of contacts within a workspace.
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Frequently Asked Questions
To start, connect both your Dovetail and Olostep accounts to viaSocket. Once connected, you can set up a workflow where an event in Dovetail triggers actions in Olostep (or vice versa).
Absolutely. You can customize how Dovetail 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 Dovetail 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 Dovetail 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.
About Dovetail
Dovetail lets you organize user research data, analyze it together, and share insights with your team. Understand your customers with Dovetail and build better things.
Learn MoreAbout Olostep
Olostep 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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