Kadoa

Web scraping workflows managed through conversation with Kadoa AI

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.

Chosen by 800+ global brands across industries

Data extraction orchestrated by your agent

From creating scraping workflows to validating extracted data, your agent manages the entire Kadoa pipeline through natural conversation.

Kadoa

Use Cases

Web data collection without the dashboard

Competitive monitoring, lead generation, and market research workflows managed entirely through conversation with your AI agent and Kadoa.

Competitor Price Monitoring on Autopilot

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.

Ad-Hoc Data Extraction for Quick Research

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.

Data Quality Assurance for Ongoing Extractions

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.

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FAQs

Frequently Asked Questions

Can the agent create complex multi-step scraping workflows?

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.

How does the ad-hoc extraction differ from a scheduled workflow?

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.

What notification channels does Kadoa support through the agent?

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.

Does the agent handle proxy configuration for geo-restricted sites?

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.

Can I add data validation rules using natural language?

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.

Does Tars store the data Kadoa extracts?

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.

How does the agent handle websites that require login or JavaScript rendering?

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.

Can I view the history of all workflow runs through the agent?

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.

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

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