Product Matching & AI Chatbots with XCrawl Data

Real-time Product Matching AI

🛠 Easy start
Easy start with available data extraction tools

💵Affordable
Affordable AI solution to get data for pricing intelligence

🚀Accurate
Accurate, scalable and fast

Powered by data extraction and AI

🛠 Easy setup
Easy to get started with existing data extraction tools

💵Affordable
An affordable AI solution for pricing intelligence data

🚀Accurate
Accurate, scalable and fast

Scalability

Matching 1K or 1M product pairs - there’s no difference to our product matching system. Scale up or down whenever you need to.

Speed

Don’t waste time adjusting to or understanding the website’s product catalogue. If you decide to map a new category today, you can have it done tomorrow.

Data Extraction & Matching

Enjoy the best of both worlds: extract and match data with a single provider. Benefit from over 7 years of experience in large-scale data processing.

Scalability

Matching 1K or 1M product pairs - there’s no difference to our product matching system. Scale up or down whenever you need to.

Speed

Don’t waste time adjusting to or understanding the website’s product catalogue. If you decide to map a new category today, you can have it done tomorrow.

Data Extraction & Matching

Enjoy the best of both worlds: extract and match data with a single provider. Benefit from over 7 years of experience in large-scale data processing.

STEP 1
Run data extraction tasks to get your data.

Step 1: Initiate an API request and pass the information of the web page to be processed through a simple URL.

Step 2: The server processes page data and returns structured data (such as JSON, CSV, etc.).

Step 3: By analyzing the data, obtaining the required information, and conducting subsequent analysis or presentation.

STEP 2
The server processes page data and returns structured data (such as JSON, CSV, etc.).

After collecting data from the two online shops, give the product matching AI the two datasets of products you want matched.

STEP 3
Let AI do its magic

The AI mapping engine will be processing hundreds of potential product pairs per minute to get you the final product pairs you need.

STEP 4
Download matches

Download the compared matches in JSON, HTML, Excel spreadsheet or other formats.Get your product matches automatically.

Try AI Product Matcher

feature comparison
Why should you use AI product mapping?

	Manaual mapping	AI mapping
🚀 Scalability	Scaling product mapping can be slow and complicated due to the need to hire and train additional mappers to process a large number of products.	1K or 1M product pairs - there’s no difference to our product matching system.
🏎 Speed	When you select new categories or online shops to be processed, it can take a lot of time before you get your first data.	New categories and e-commerce shops can be mapped within a few hours. If you decide to map a new category today, you can have it done tomorrow.
🎯Precision	Manual mapping can be very precise but it also depends on quality of hiring practices, training and other circumstances. Its quality can also deteriorate over time leading to you having to increase quality monitoring.	This AI model is trained on datasets containing thousands of labeled product pairs to ensure the resulting matches are as precise as possible. It's also consistent - the AI mapper will work just as well a year from now as of today, leading to minimal quality monitoring requirements.
🔁 Data update rate	Data updates are heavily constrained by available man-hours and will in general be much lower than when using AI mapping.	You can schedule the whole data extraction and matching pipeline to run every week, day, or hour – however often you want.
🍃 Data relevance	It can take days before new product data gets to you.	XCrawl's Data Access API and proxy rotation system rely on top-tier IP data providers, but results may vary across services.
	I want to make it easier!	Try Al Product Matcher

Manaual mapping

AI mapping

Manaual mapping

🚀 Scalability

Scaling product mapping can be slow and complicated due to the need to hire and train additional mappers to process a large number of products.

🏎 Speed

When you select new categories or online shops to be processed, it can take a lot of time before you get your first data.

🎯Precision

Manual mapping can be very precise but it also depends on quality of hiring practices, training and other circumstances. Its quality can also deteriorate over time leading to you having to increase quality monitoring.

🔁 Data update rate

Data updates are heavily constrained by available man-hours and will in general be much lower than when using AI mapping.

🍃 Data relevance

It can take days before new product data gets to you.

Product matching use cases

Competition analysis

Monitor competitors by tracking exact product matches on their websites. Have an up-to-date data source for product and revenue teams.

Market research

Avoid overstocking, slow reactions to market changes and inaccuracies around product performance on the market.

Pricing intelligence

Match specific inventory across websites to manage dynamic price changes more efficiently. Build dashboards with retail data acquired automatically.

Frequently asked questions

Everything you need to know about XCrawl.

What is XCrawl?

XCrawl is an AI-ready web scraping API that converts websites into structured JSON, Markdown, HTML, and screenshots. It includes built-in proxies, crawling, and SERP data for developers.

How is XCrawl different from other web scraping tools?

Traditional scrapers often return raw HTML. XCrawl delivers clean JSON and Markdown, plus built-in proxy rotation, SERP API, and integrations with MCP, n8n, and Zapier for faster production workflows.

Is XCrawl free to try?

Yes. Every new account includes 1,000 free credits with no credit card required, so you can test scraping, crawling, SERP data, and AI-ready output before upgrading.

Can XCrawl scrape JavaScript-heavy websites?

Yes. XCrawl uses headless browser rendering to handle SPAs, infinite scroll, and dynamic client-side content, then extracts data after key elements load.

What output formats does XCrawl support?

XCrawl returns structured JSON, AI-ready Markdown, raw HTML, and screenshots. Use JSON for systems integration and Markdown for token-efficient LLM workflows.

Which programming languages can use XCrawl?

XCrawl is a REST API, so it works with any language. Official SDKs are available for Python and Node.js/TypeScript, with examples for Go, Ruby, PHP, and cURL.

Does XCrawl work with AI agents and automation tools?

Yes. XCrawl supports MCP for Claude, plus n8n, Zapier, Make, and custom pipelines so AI agents can access live web data in real time.

How do I get started with XCrawl?

Create a free account at xcrawl.com, copy your API key from the dashboard, and send your first request. You get 1,000 free credits and quick-start examples for Python, Node.js, and cURL.

How do XCrawl pricing and credits work?

Each request uses credits based on complexity. Standard pages, SERP requests, and advanced features may consume different amounts. Check the pricing page for the latest credit table.

Do I need coding skills to use XCrawl?

No. You can run XCrawl through no-code platforms like n8n and Zapier, or use SDKs and REST calls for advanced developer workflows.

Start scraping smarter today!

Access reliable, ready-to-use web data from leading websites at scale—automated pipelines remove manual work and speed data-to-insight.

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Real-time Product Matching AI

Powered by data extraction and AI

STEP 1Run data extraction tasks to get your data.

STEP 2 The server processes page data and returns structured data (such as JSON, CSV, etc.).

STEP 3Let AI do its magic

STEP 4Download matches

feature comparisonWhy should you use AI product mapping?