Kadoa

Name: Kadoa
Brand: Kadoa

AI agents that build and monitor web data extraction pipelines from websites, PDFs, and files.

softwareAutomation Toolsweb-scrapingdata-extractionai-agents

What is Kadoa?

Kadoa is a web data extraction and automation platform that uses AI agents to generate data pipelines from plain-language descriptions instead of manual scraping code. It extracts structured data from websites, PDFs, images, and spreadsheets, and includes self-healing workflows that automatically detect and repair broken extraction logic when source pages change. Every extracted data point is source-grounded with an audit trail back to its original location, and pipelines can deliver results to destinations like S3, Snowflake, or BigQuery. The platform markets itself as 'the web data layer for finance,' targeting investment firms, hedge funds, and private equity teams, while also offering enterprise security features like SOC 2 certification, SSO/SAML, and on-premise deployment options.

SpecificationsAI-estimated

deploymentCloud/SaaS

open source❌ No

api available✅ Yes

support optionsEmail, dedicated account manager (Enterprise)

key integrationsSnowflake, S3, BigQuery

Key Features of Kadoa

Generates a working data extraction pipeline from a plain-language description of what to extract.

Extracts structured data from websites, PDFs, images, and spreadsheets in a single platform.

Automatically detects and repairs broken extraction logic when a source website's layout changes.

Attaches a source-grounded audit trail to every extracted data point, tracing it back to its origin.

Sends real-time monitoring alerts via Slack, email, or webhook when pipelines break or data changes.

Delivers extracted data directly to S3, Snowflake, BigQuery, or other cloud data warehouses.

Offers SOC 2 certification, SSO/SAML, and on-premise deployment for enterprise security requirements.

Provides both a self-serve UI for analysts and native ETL code output for engineering teams.

Use Cases for Kadoa

Financial data aggregation

Investment firms extract structured data from filings, reports, and websites for analysis.

Competitive price monitoring

Teams track competitor pricing pages and get alerted automatically when prices change.

Document data extraction

Operations teams pull structured fields out of PDFs and scanned documents at scale.

Automated data warehousing

Data teams pipe extracted data directly into Snowflake or BigQuery without custom ETL code.

Pros & Cons of Kadoa

Pros

Self-healing pipelines reduce the maintenance burden typical of custom scrapers.
Source-grounded audit trails add transparency that is valuable for regulated industries like finance.
Supports multiple input types, including PDFs and images, not just HTML pages.
Enterprise-grade security options including SOC 2 and on-premise deployment.

Cons

Pricing is not published, requiring a sales conversation to get real numbers.
Heavily positioned toward finance use cases, which may make it feel less general-purpose for other industries.
Web scraping tools can be affected by target sites' anti-bot measures regardless of self-healing claims.

Frequently Asked Questions

What is Kadoa used for?

Kadoa builds AI-generated pipelines to extract structured data from websites, PDFs, images, and spreadsheets.

Does Kadoa handle website changes automatically?

Yes, its self-healing workflows detect and fix broken extraction logic when source pages change.

Where can extracted data be delivered?

Data can be delivered to destinations like S3, Snowflake, and BigQuery, or via webhooks.

Is Kadoa only for finance companies?

It markets itself specifically to finance use cases like investment firms and hedge funds, though the underlying extraction platform is general-purpose.

Pricing Overview

View full pricing →

Contact for Pricing

Detailed plans are not listed. Visit the official website for pricing information.

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