
When this happens...
New Customer Update
New Customer
Updated Order
Reserved Order
Completed Payment
Finalize Invoice

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.
Triggers when a new customer is update.
Triggers when a new customer is added.
Triggers when an order is updated.
Triggers when an order is reserved.
Triggers when a payment is completed.
Triggers when an invoice is finalized.
Action is the task that follows automatically within your Booqable integrations.
Retrieves the details of all customers
Retrieves the details of all users
Retrieves the details of all products
Retrieves the details of all provinces
Retrieves the details of all payments
Retrieves the details of all orders

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To start, connect both your Booqable and Olostep accounts to viaSocket. Once connected, you can set up a workflow where an event in Booqable triggers actions in Olostep (or vice versa).
Absolutely. You can customize how Booqable 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 Booqable 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 Booqable 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.
Booqable is cloud-based rental software to manage your business and accept online bookings.
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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