Product matching AI
Use our all-in-one product matching RPA to monitor e-commerce websites. A must-have for market research, competition analysis, and automated pricing intelligence.
Match products across multiple e-commerce websites. Apply machine learning to compare and automatch collected retail data.
Matching 1K or 1M product pairs - there’s no difference to our product matching system. Scale up or down whenever you need to.
Don't waste time adjusting to and learning the website's catalogue. If you decide to map a new category today, you can have it done tomorrow.
Enjoy the best of both worlds: extract and match data with the same provider. Take advantage of 7+ years of experience on web scraping market.
- Manual mapping
- AI mapping
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.
When you select new categories or online shops to be processed, it can take a lot of time before you get your first data.
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.
Monitor competitors by tracking exact product matches on their websites. Have an up-to-date data source for product and revenue teams.
Avoid overstocking, slow reactions to market changes and inaccuracies around product performance on the market.
Match specific inventory across websites to manage dynamic price changes more efficiently. Build dashboards with retail data acquired automatically.
🎯 AI Product Matcher can be your go-to tool for competitor tracking, pricing intelligence and efficient manual mapping. Watch this tutorial to learn how to scrape and match thousands of product pairs.
Product Matcher works on price-per-result model with $10 per 1,000 checked product pairs. The total price consists of two aspects: scraping + pairing. The scraping part depends on the complexity and scale of your data extraction. As for the pairing part, you pay for the pairs that the AI has checked, meaning both matched and unmatched pairs will be counted in.
You can find the precise price in the Matcher’s readme. If you’ve just created your Apify account, your Free plan should have enough free credits to try the Actor. But if you want to run it regularly or on any kind of scale, you will need to upgrade to a paid plan such as Starter plan with $49 in monthly usage credits. See Apify pricing for the breakdown of which of our plans might suit you best.
It needs only two inputs: the dataset(s) to work with and specified attributes to work with. You can test this Actor even if you don't have the product pairs prepared or scraped yet - just run it with the default input. For more detail, follow our step-by-step tutorial.
Yes, you can upload your own datasets instead of scraping. You can also upload a single dataset containing pairs from both online shops. Either way, the product matching AI will go through your dataset and identify product pairs. However, this is possible only via an API. See Apify Documentation for a guide on how to get programmatic access to the Apify platform.
Yes. There is an option for exporting your data via an API, be it whole datasets or just product pairs. You can have programmatic access to any tool on the platform - including this one - via Apify's web scraping API. You can access it either by using Python or Node.js clients, or manually. This API will enable you to fetch results directly from any of your datasets. Check out the tutorial for details.
Some use cases are so sensitive to potential matching errors that you might not want to trust an algorithm with the task, leading to you to be deciding to keep doing manual mapping using trained mappers. However, even in this case, using the AI Product Matcher can help you achieve your goals faster and cheaper. How?
You can run it in the recall-focused setting, meaning that you want to get as many of the pairs as can be found, even though a significant portion (around half of them in our experiments) of the pairs will be false. Afterwards, your human mappers can look at the results given by the algorithm and check the pre-selected pairs. This will allow your team to work much quicker than they would if they had to manually go through the competitor's website in search of the matching products.
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Yes. Feel free to contact our sales team through this form to discuss the scope, timing and deliverables of your project.
Yes. If you haven't found scraper or automation tool that suits your needs in our Store, you can build one of your own on the Apify platform. Apify platform was created in mind for an easy hosting, running, scaling, scheduling and monitoring of web scrapers.