Amazon Data Scraper

Case Study

With the fast rise of online retail, marketplace marketing has become a core focus for digital marketing agencies. Modern software solutions can automate marketplace marketing efforts and support data-driven decision-making, which is why our client, a major marketing agency, approached us to develop a data scraping solution for Amazon — one capable of covering entire marketplaces rather than isolated samples.

The scraper had to navigate the Amazon website, collect data at full catalog scale, filter it according to the client's requirements, and export it in a usable, sorted format.

Scraping Data From Amazon

The scraper works across Amazon shops simultaneously on the US, UK, and German websites. It walks through all product categories present on Amazon, including every subcategory, temporarily loading them into a database.

For each category, the scraper extracts product and shop information, caching product data to avoid duplicates and temporarily storing shop information separately. Each shop and its products are then evaluated against the client's criteria — shop owner, lowest and highest product price, product types, average feedback, and average number of reviews — with non-matching shops filtered out of the final dataset.

The resulting database can be accessed directly or uploaded into a CMS for ease of use.

Scale and Duration

Rather than sampling a subset of listings, the scraper was run to completion across the entire English-language and German-language Amazon catalogs — covering the full US, UK, and DE marketplaces. The full run took approximately three months, demonstrating the solution's ability to sustain large-scale, long-running extraction without manual intervention, rather than just short bursts of collection on a limited product set.

CAPTCHA and Avoiding Blocks

We developed our scraper to be very hard for Amazon to detect. It avoids blocks in multiple ways:

• emulation of human behavior, such as handling pagination and performing scrolling;
• rotation of user agents;
• dynamic IP changes.

The scraper can also adjust its scraping speed, slowing down when needed to avoid suspicion. We additionally built a CAPTCHA-solving module, making the data scraping solution fully autonomous — a capability that mattered over a multi-month run, where sustained, unattended operation was essential to reaching full catalog coverage.

Results

Our data scraper is a full-fledged solution for scraping and filtering large volumes of data across multiple Amazon marketplaces. It has successfully completed a full-catalog run across the entire US, UK, and DE Amazon marketplaces in roughly three months, and continues to help our client achieve their marketing goals with reliable, large-scale data.