
When this happens...

Automatically do this!
Scrape Website
Generate AI Answer
Start Web Crawl
Get Crawl Info
Create Map
Batch URL Scraper
Fetch Batch Items
Enable Integrations or automations with these events of Nyckel and Olostep
Import data to your Nyckel classifier
Classify image or text data
Detect Objects center in images
Train your Nyckel classifier by adding more data
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.
Search web and return answer

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To start, connect both your Nyckel and Olostep accounts to viaSocket. Once connected, you can set up a workflow where an event in Nyckel triggers actions in Olostep (or vice versa).
Absolutely. You can customize how Nyckel 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 Nyckel 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 Nyckel 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.
Nyckel is a platform that provides machine learning as a service, enabling users to easily integrate AI capabilities into their applications without needing extensive knowledge in data science or machine learning. It offers tools for creating, training, and deploying machine learning models with ease.
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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