Connect Olostep and gurucan to Build Intelligent Automations
Choose a Trigger
When this happens...
- Request a new Trigger for Olostep
Choose an Action
Automatically do this!
- Request a new Action for gurucan
Enable Integrations or automations with these events of Olostep and gurucan
Enable Integrations or automations with these events of Olostep and gurucan
Actions
Scrape Website
Fetch and extract content from a public webpage into selected formats (Markdown, HTML, text, JSON, screenshot, or PDF) using optional settings like country, wait time, parser, and image removal.
Get Scrape
Fetch a scrape by ID
Generate AI Answer
Search web and return answer
Start Web Crawl
Start web crawl and notify
Get Crawl Details
Get crawl status and details
Create Map
Create a site map by discovering pages on a website and returning the found URLs, limited and filtered by the provided options.
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Frequently Asked Questions
To start, connect both your Olostep and gurucan accounts to viaSocket. Once connected, you can set up a workflow where an event in Olostep triggers actions in gurucan (or vice versa).
Absolutely. You can customize how Olostep data is recorded in gurucan. This includes choosing which data fields go into which fields of gurucan, setting up custom formats, and filtering out unwanted information.
The data sync between Olostep and gurucan 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 Olostep and gurucan. 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 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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