
Kadoa
Your team monitors competitive prices, tracks job postings, and extracts product data from across the web. Your AI agent creates Kadoa workflows, starts crawls, checks extraction status, and delivers fresh data, all from a single chat interface.




From creating scraping workflows to validating extracted data, your agent manages the entire Kadoa pipeline through natural conversation.
Kadoa
Competitive monitoring, lead generation, and market research workflows managed entirely through conversation with your AI agent and Kadoa.
Your pricing analyst messages 'Set up daily scraping of competitor product pages and notify me on Slack when prices change.' Your AI Agent creates a Kadoa workflow targeting the specified URLs with price extraction schema, sets the update interval to daily, enables monitoring for data changes, creates a Slack notification channel, and confirms everything is active. The analyst gets price change alerts without ever opening the Kadoa UI.
A sales rep needs contact information from a company's team page before a meeting in 30 minutes. They message your AI Agent with the URL. The agent runs Kadoa's ad-hoc extraction endpoint with the 'body' schema, retrieves the page content, and presents extracted names and titles. The rep walks into the meeting prepared. No workflow setup, no waiting for scheduled runs.
Your data team discovers that some scraped product prices are showing as negative numbers. They ask the AI Agent to add a validation rule. The agent calls Kadoa's validation rule endpoint with the prompt 'Check price is positive,' links it to the workflow, and enables validation. Future extraction runs automatically flag invalid records. Data quality improves without anyone writing code or regex patterns.

Kadoa
FAQs
Yes. The agent supports both standard workflows and Kadoa's advanced workflow type, which allows multi-step extraction pipelines. You describe what you need, and the agent creates the workflow with the correct navigation mode, schema, and step configuration. Advanced workflows support agentic navigation where Kadoa's AI handles dynamic pages.
Ad-hoc extraction runs synchronously against a single URL and returns results immediately. It is ideal for one-time lookups. Scheduled workflows run on intervals (daily, weekly, custom cron), store historical data, support monitoring for changes, and trigger notifications. The agent can create either type based on your needs.
The agent can create email, Slack, Microsoft Teams, and webhook notification channels. You specify the channel type and configuration, and the agent sets it up and links it to the events you care about, such as workflow_finished or workflow_failed. Test notifications verify everything works before going live.
Yes. When starting a crawl or creating a workflow, the agent can set proxy country codes and location settings. Kadoa supports multiple proxy locations, so you can scrape region-specific content by specifying the appropriate country code, like 'DE' for Germany or 'US' for the United States.
Yes. Kadoa's validation rule endpoint accepts natural language prompts. Tell the agent 'Check that all prices are positive numbers' or 'Ensure email fields contain valid addresses,' and it creates the corresponding AI-driven validation rule linked to your workflow. No regex or code required.
No. Extracted data is stored in Kadoa's infrastructure and retrieved in real time when the agent needs it. Tars queries the latest workflow data endpoint during conversations and presents results, but does not maintain a separate copy of your scraped data.
Kadoa supports browser interactions (clicks, scrolls, form fills) before scraping, which the agent can configure. For agentic-navigation mode, you describe the interaction in a user prompt and Kadoa's AI handles the rendering. The agent passes these configurations through to Kadoa automatically.
Yes. The agent fetches workflow run history showing timestamps, status, record counts, and any errors for each execution. You can ask for the latest run, a specific run by ID, or a summary of all runs for a workflow to track extraction reliability over time.
Don't limit your AI Agent to basic conversations. Watch how to configure and add powerful tools making your agent smarter and more functional.

Privacy & Security
At Tars, we take privacy and security very seriously. We are compliant with GDPR, ISO, SOC 2, and HIPAA.