Kadoa consultants

Q: Can Kadoa scrape websites that require login or have anti-bot protection?

Kadoa handles JavaScript-rendered pages and can manage basic authentication scenarios. For sites with aggressive anti-bot protection (Cloudflare, DataDome), you may need to combine Kadoa with a proxy service or specialised tool like ZenRows. Our integration team can architect solutions that use the right tool for each target site's specific protections.

Q: How do we integrate Kadoa's extracted data into our existing systems?

Kadoa provides an API that returns extracted data as structured JSON. We connect this API to n8n workflows that transform, validate, and load the data into your target systems (databases, CRMs, spreadsheets, dashboards). The workflow runs on a schedule, so fresh data arrives in your systems automatically without anyone triggering extractions manually.

Q: Can Kadoa handle scheduled, recurring data extraction?

Yes. Kadoa supports scheduled extractions through its platform, and we also trigger extractions from n8n workflows for tighter control over timing, error handling, and downstream processing. Recurring extraction is where Kadoa delivers the most value, because its AI-based approach requires less maintenance than traditional scrapers when target websites update their layouts.

We can help you automate your business with Kadoa and hundreds of other systems to improve efficiency and productivity. Get in touch if you’d like to discuss implementing Kadoa.

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About Kadoa

Kadoa is an AI-powered web scraping platform that extracts structured data from websites without requiring you to write CSS selectors, XPath queries, or custom parsing code. You point Kadoa at a webpage, and its AI identifies the data structure (product listings, job postings, contact details, pricing tables) and extracts it into clean JSON or CSV format.

Traditional web scraping breaks every time a website changes its layout. Kadoa reduces this maintenance burden because its AI adapts to structural changes rather than relying on hardcoded element selectors. This makes it particularly useful for ongoing data collection from sites that update their design frequently.

At Osher, we use Kadoa as a data source within broader automated data processing pipelines. A typical project connects Kadoa to an n8n workflow that schedules extraction, processes the returned data, and loads it into a database or CRM for analysis. We have built competitive intelligence, market research, and lead enrichment systems using Kadoa as the extraction layer. For an example of how we build automated data pipelines, see our BOM weather data pipeline case study.

Kadoa is a good fit for teams that need structured data from the web but do not have developers available to build and maintain traditional scraping scripts.

Kadoa FAQs

Frequently Asked Questions

Common questions about how Kadoa consultants can help with integration and implementation

How is Kadoa different from traditional web scraping tools?

Traditional scrapers require you to specify exactly which HTML elements to extract using CSS selectors or XPath. When the target website redesigns, those selectors break and you need to update them. Kadoa uses AI to understand the page structure and identify data fields automatically. You describe what data you want (product names, prices, descriptions), and Kadoa figures out where to find it on the page. This makes it more resilient to website changes and accessible to non-technical users.

What types of data can Kadoa extract?

Kadoa handles structured data from most common web page types: product catalogues, job listings, directory listings, pricing pages, real estate listings, news articles, and contact pages. It recognises common data patterns like names, addresses, phone numbers, prices, dates, and descriptions. For unusual or custom page layouts, you can guide the AI by specifying which fields to extract and providing example data points.

Can Kadoa scrape websites that require login or have anti-bot protection?

How do we integrate Kadoa’s extracted data into our existing systems?

How accurate is Kadoa’s AI-based extraction compared to manual scraper setup?

For common page structures (product grids, listing pages, tables), Kadoa’s accuracy is comparable to well-built manual scrapers. It occasionally needs guidance for unusual layouts or when multiple similar-looking data patterns exist on the same page. We always validate extraction accuracy during setup and build data quality checks into the n8n pipeline to catch any extraction errors before data reaches your downstream systems.

Can Kadoa handle scheduled, recurring data extraction?

How it works

We work hand-in-hand with you to implement Kadoa

As Kadoa consultants we work with you hand in hand build more efficient and effective operations. Here’s how we will work with you to automate your business and integrate Kadoa with integrate and automate 800+ tools.

Step 1

Process Audit

We identify which websites you need data from, what specific data fields you require, and how that data will be used downstream. We assess each target site’s structure, anti-bot protections, and update frequency to determine whether Kadoa is the right extraction tool or if a different approach is needed.

Step 2

Identify Automation Opportunities

We map out the full data pipeline: extraction from target sites via Kadoa, transformation and cleaning in n8n, and loading into your target systems. We identify which extractions should run on schedule versus on demand, and determine the data validation rules needed to catch extraction errors before they reach downstream systems.

Step 3

Design Workflows

We configure Kadoa extraction profiles for each target website, defining the data fields to extract and any AI guidance needed for complex layouts. We design the n8n workflows that orchestrate extraction, process results, handle errors, and load clean data into your databases, CRMs, or analytics platforms.

Step 4

Implementation

We set up Kadoa extraction jobs for each target site, build and test the n8n processing pipelines, and connect everything to your downstream systems. We run initial extractions, validate data accuracy against manual spot-checks, and fine-tune extraction configurations until output quality meets requirements.

Step 5

Quality Assurance Review

We run extraction pipelines through multiple complete cycles, comparing extracted data against source sites for accuracy. We test error handling for scenarios like site downtime, changed layouts, and unexpected data formats. We verify that data validation rules catch issues correctly and that alerts notify the right people when problems occur.

Step 6

Support and Maintenance

We monitor extraction pipelines for accuracy drops and failures, adjust Kadoa configurations when target sites change, and optimise extraction schedules based on actual usage patterns. We maintain the n8n workflows and provide regular reporting on data quality metrics so your team can trust the data feeding into their systems.

Transform your business with Kadoa

Unlock hidden efficiencies, reduce errors, and position your business for scalable growth. Contact us to arrange a no-obligation Kadoa consultation.

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