Scrape API Case Study: Project Background
A “top-tier Amazon data insights provider” offers advertising insights services to Amazon sellers. Advertising costs can account for up to 30% of total expenses for Amazon sellers. The user needs to collect a large amount of ad placement data from the Amazon website, including ad position, ad content, and ad pricing, in order to provide sellers with optimal ad placement strategies and performance evaluation.
However, this type of data is currently the most challenging and demanding to collect in terms of precision.
The user initially used Crawlbase, a third-party data collection service. However, the efficiency and quality of data collection provided by Crawlbase did not meet the user’s requirements. Issues such as low collection rates, inaccurate data, unstable interfaces, and high costs persisted. The user urgently needed to find a better data collection solution to improve their service quality and competitiveness.
The Solution
The “top-tier Amazon data insights provider” chose our Pangolinfo Scrape API product as their data collection solution. Built on cloud computing and artificial intelligence technologies, Scrape API supports high-concurrency data collection and quickly extracts the necessary data from any website with precision.
We provided the user with a two-week free trial to experience the performance and benefits of our Pangolinfo Scrape API. Based on their feedback and suggestions, we extensively optimized and improved the product to suit their specific needs.
Based on customer demand, we developed a feature capable of scraping Amazon Sponsored ad placements with a success rate of over 98%.
Objectives & Results
By using our Pangolinfo Scrape API product, the user achieved the following core objectives:
Improved Data Collection Efficiency & Quality
The user successfully increased the efficiency of collecting ad placement data. The high-concurrency capabilities of the API ensured faster and more accurate data collection from the Amazon website.
Reduced Costs and Risks
By switching to Scrape API, the user benefited from a more cost-effective solution. They could enjoy a stable and secure service without worrying about blocks or proxy maintenance.
Increased Flexibility and Scalability
Scrape API provided the ability to customize data collection parameters and easily scale the scraping scope as their business grew, granting them greater control over the process.
Industry-Leading Pangolinfo Scrape API
Reduce costs and enjoy an extremely high success rate.
Extract Amazon data without getting blocked
Effortlessly collect Amazon data. Just choose a starting URL, configure crawling options, specify scraping parameters, and receive the results directly to your preferred cloud storage. Supports products, prices, search, and reviews.
Unlock structured data using a custom parser
Regardless of how the page structure changes, our machine learning-based capabilities automatically detect product data. Output examples include: Amazon LIVE, Best Sellers, Directory Sellers, and PDP pages.
Effortlessly overcome CAPTCHAs and restrictions
Our hosted solution offers unparalleled control and flexibility, eliminating the need to maintain proxies and unblocking infrastructure. Seamlessly extract data from any geographical location while automatically bypassing CAPTCHAs.
No credit card required, up to 1000 free Credits
Effortlessly obtain various types of data from Amazon
Easily deploy and use
Get started smoothly with our developer documentation. Integrate it into your business flow with simple API calls.
Simple and direct
End-to-end comprehensive solution, providing target data directly according to requirements, without managing infrastructure.
Bulk scraping
A monthly processing capacity of billions of pages, with super-large concurrent real-time collection.
Multiple delivery options
Retrieve results via an API or automatically send them to your cloud storage bucket (AWS S3 or GCS).
Automated jobs
Efficiently schedule and manage repetitive data collection and parsing tasks through our intelligent scheduler.
Supports scraping by postal code
Retrieve highly accurate and localized data by scraping corresponding postal code areas (supports 100+ regions).
No credit card required, up to 1000 free Credits
Amazon Data Scraping Use Cases
- Price Comparison: Conduct price comparison for identical products on Amazon to create dynamic pricing models.
- Product Research: Discover new categories & products to compete in, and find gaps in inventory to exploit.
- Complete Capture: Get a complete capture of all Amazon products in a specific domain, product details, reviews, and more.
- Track Sentiments: Identify top sellers and monitor consumer demand to quickly identify products’ popularity.
- Trend Analysis: Discover categories and brands that are trending based on geo-location and other parameters.
What Our Customers Say
Based on 1000+ ratings
Experience confidence with us, data proves everything
5000+
Dedicated Proxy Servers
99.99%
Uptime Guarantee
>98.2%
Average Success Rate
180+
Collect by zip code
Pangolinfo Case Study & FAQs
What Amazon data can Pangolinfo Scrape API collect?
Our API is highly tailored for e-commerce. You can easily extract deep structured data, including but not limited to: Product Details (PDP), real-time pricing, Buyer Reviews, Search Results (SERP), Sponsored Ads, and Best Sellers rankings.
Why does this Scrape API case study show a 98% success rate?
In this Pangolinfo case study, we demonstrated the power of our industry-leading proxy pool (tens of millions of pure residential IPs) integrated with our AI CAPTCHA-solving mechanism. You don’t need to maintain proxies or handle anti-scraping strategies; just send an API request, and we bypass blocks automatically. This is why we maintain such excellent performance across many Scrape API case studies.
How does the billing work? Do I pay for failed requests?
We use a fair Pay-per-successful-request model. If your request fails due to timeouts, target site downtime, or blocks, we will never deduct your Credits. Every cent you spend goes toward valid data.
What is the concurrency limit? Do you support large-scale scraping?
Absolutely! Our server architecture stably processes billions of pages monthly. Whether you need small-scale daily monitoring or ultra-high concurrency scraping during major sales like Black Friday or Prime Day, Pangolinfo Scrape API delivers lightning-fast responses.
Can I scrape by specific Zip Codes or geographic locations?
Yes. E-commerce pricing and inventory are heavily tied to location. Our API supports setting specific postal codes or geographic parameters (covering 100+ countries and regions) to simulate real local buyers, ensuring you get the most accurate, localized data.
How can I start testing? Is a credit card required?
We provide fully functional free trial accounts! Just click the “Start for free” button to register—no credit card required. Upon registration, you’ll receive up to 1000 free Credits to fully test all our API features and high-speed concurrency.
Ready to upgrade your data collection strategy?
Try Pangolinfo Scrape API today and experience up to a 98%+ success rate with zero proxy maintenance. For technical questions, consult our API User Guide.
No credit card required, up to 1000 free Credits
