From competitor price tracking to AI training data, see how teams use ScrapeWise to turn any website into structured data.
Buyers now ask an assistant before they open a search result. ScrapeWise runs your prompt list against ChatGPT, Gemini, Google AI Mode and Google AI Overviews on a schedule, and returns each answer with the sources it cited, so you can count how often you are named instead of guessing.
Learn more →Start from products in your category, collect every third-party seller on those offers, then read each seller's public profile. How much contact data comes back depends entirely on the marketplace: on amazon.de almost every seller publishes an email, phone and VAT number because German law requires it, and on amazon.com almost none do.
Learn more →Detect MAP violations, gray-market sellers, and unauthorized resellers across marketplaces, social channels, and direct sites — with timestamped, source-linked evidence ready for takedown filings.
Learn more →Stop manually checking competitor websites one by one. ScrapeWise lets you track competitor pricing across multiple sites automatically, monitors prices daily across any e-commerce site, and keeps a price history so you can see when competitors change their pricing.
Learn more →Anyone can extract a page once. The hard part is the Tuesday a site ships a redesign and your export quietly arrives with 40 rows instead of 1,200. ScrapeWise runs four fallback extraction modes, watches for drift, and tells you when a run is thin — instead of handing you a clean-looking empty file.
Learn more →Launching in a new country or category? Get the full competitive intelligence landscape — a complete SKU census, price bands, brand coverage, assortment gaps and marketplace penetration — extracted from the platforms that actually sell in that market. Built for strategic decisions, not daily ops.
Learn more →A model is only as honest as the rows behind it. ScrapeWise turns public web pages into typed, schema-constrained records where every field carries the URL and timestamp it came from — and a field the page never published stays null instead of becoming a plausible guess.
Learn more →Search Google Maps for a trade and a place, paste the link, and get the businesses back as rows: name, category, address, phone, website, rating and review count. One search returns up to 20 businesses and costs €0.0015. Google Maps holds no email addresses, so a second step reads each business's own website and returns the email addresses it publishes there, for €0.0003 per website read. A field the business left out stays empty.
Learn more →Catch every Minimum Advertised Price violation, unauthorized seller, and gray market listing across Amazon, eBay, and every marketplace your brand sells on — automatically, every day. No manual audits, no missed violations.
Learn more →The Amazon offers API returns one row per seller offer on a listing, with the price, the shipping cost, the condition, an FBA flag and a true/false Buy Box column. It runs daily or on demand, and the rows reach your repricer or your own rules through the REST API or a CSV file.
Learn more →Every shop writes prices, sizes and stock in its own way. Scrapewise group rules turn them into one clean format: the price as a number, the pack size in grams or millilitres, price per kg or per litre, prices in EUR, and one row per product page. Then the rows are ready to match and compare.
Learn more →Product pages describe the same attribute five different ways. Automated product data extraction reads the title, the bullet list, the spec table and the description prose together, then returns one typed, unit-normalised value per field — with the source it came from attached.
Learn more →Upload your product list, scrape the competitor shops, and Scrapewise links each competitor row to your product. A shared EAN or ID wins first. Rows without one are matched on text columns such as title, brand and size, then on product pictures. Unsure pairs wait for your review.
Learn more →You already know which pages you care about. Upload the list, choose the fields you want, and Scrapewise returns one clean row per URL. One file can hold links from several shops. Pages that fail are retried and not charged. Upload your own catalogue as well, and the competitor prices come back matched to your products.
Learn more →A shop's sitemap is the list of pages it wants found, which makes it the cheapest way to discover a whole catalogue. Scrapewise reads the sitemap, follows the index files, filters down to product pages, and then scrapes them into one table.
Learn more →Track supplier and wholesale prices per SKU and MOQ tier. Send the supplier links you already have as a list, or upload your catalogue, and get the prices back matched to your SKUs, ready to load into your ERP through the REST API or a CSV file.
Learn more →Two data APIs do the work. The Google Hotels search returns 20 hotels for a city and your dates, each with the nightly and the total price. The hotel rate parity call returns one hotel's price on every booking site Google lists for those dates, the hotel's own site included. Other public travel sites can be set up with the AI scraper, and some sites cannot be scraped.
Learn more →Common questions about ScrapeWise use cases and capabilities.
ScrapeWise works on any public website including e-commerce stores, marketplaces, directories, and job boards. Our engine handles JavaScript-heavy sites, anti-bot protections, and dynamic content automatically.