
When this happens...

Automatically do this!
Scrape Website
Get Scrape
Generate AI Answer
Start Web Crawl
Get Crawl Details
Create Map
Batch URL Scraper
Get Batch Status
Get Batch Items
Get Map
Enable Integrations or automations with these events of Talenteria and Olostep
Creates a new job in Talenteria account.
Find the details of a specific job.
Update the details of a specific job
Fetch all candidate applications linked to a specific job opening by providing the job ID.
Create a new talent pool by providing a title, category, and optional details such as location and visibility settings.
List all the talent pools openings.
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To start, connect both your Talenteria and Olostep accounts to viaSocket. Once connected, you can set up a workflow where an event in Talenteria triggers actions in Olostep (or vice versa).
Absolutely. You can customize how Talenteria 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 Talenteria 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 Talenteria 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.
Talenteria is a comprehensive platform designed to streamline talent acquisition and recruitment processes. It offers tools for creating career sites, managing job postings, and enhancing candidate engagement.
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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