Effortlessly Access Amazon Data
Data API: Direct Access to Any Amazon Web Page Data
- What you see is what you get, flexible and customizable
- Keywords, ASINs, reviews, sales volume
- Bestseller lists, new release lists
- Real-time data Scraping
Scrape the complete page content from any Amazon site
Use the Data API to gain comprehensive insights into competitors’ pricing, product strategies, brand reputation, and customer reviews.
Massive Data
Access rich, real-time frontend data from Amazon
Direct API Access
Instantly obtain Amazon frontend data without complex integration.
No Parsing Required
Receive pre-parsed data, ready for immediate use.
Scalable and Customizable
Easily integrate and get started quickly, customize data fields according to your needs.
Product Inventory and Pricing Strategy
Identify best-selling products that customers frequently search for and purchase. Optimize your inventory, pricing, supply chain, and marketing strategies from A to Z.
- Support data scraping by ASIN.
- Support data scraping by keyword.
- Support data scraping from the Amazon Best Sellers list.
- Support data scraping from the Amazon New Releases list.
- Support data scraping by site and postal code.
- The data scraping success rate for Sponsored Products ad placements is over 98%.
Consumer Sentiment and Brand Reputation
Analyze the trending categories and brands in each country to assist with product selection, uncovering trends in consumer demand and the popularity of products among buyers.
- Near-real-time data scraping, completed within 10 minutes.
- Support one-click export.
- Support for XLSX, CSV, and JSON file formats.
Maintain a competitive edge.
Top sellers on Amazon have the recipe for success. Analyze the products, reviews, and promotional activities of top Amazon sellers to gain new business insights, or recruit them to your marketplace platform.
- One-click data scraping for Amazon's entire site.
- Customize scraping rules and fields.
- Scheduled scraping / periodic data Scraping.
- No parsing required.
Key Features
Sponsored Products data scraping.
Our unique scraping technology boasts a Sponsored Products collection rate of up to 98%, far surpassing similar products. No programming is required to achieve this.
Scrape data by specifying a postal code.
Our proprietary technology allows for direct data scraping by specific postal districts, enabling precise acquisition of target market data.
High-efficiency real-time data collection.
Near-real-time monitoring of target data, with collection completing as quickly as within 3 minutes.
Search ranking monitoring.
Efficiently and in real-time, parse page information to directly provide Sponsored Products (SP) ranking and organic ranking data.
Rich data formats.
Supports the direct export of scraped data into JSON or Excel files, facilitating data processing and application. It can be directly used for training AI models.
Comprehensive data types.
Achieve all your Amazon data needs in one place, including keywords, Sponsored Products ads, listings, sales volume, rankings, reviews, and prices.
Need Help?
Amazon Data API FAQ
If you have any other questions, please feel free to contact us.
What is the difference between a Scrape API and a Data API?
Scrape API is a service for extracting data from the internet, with features such as:
– Amazon data collection by postal code: It captures product information based on specified postal codes for targeted regional data.
– Sponsored Products (SP) ad collection: It retrieves SP ad data, revealing competitors’ strategies and ad performance.
– Efficient scraping: It employs high-speed technology to gather large amounts of data quickly.
– Real-time data: It ensures the most current data is captured.
Data API, built on Scrape API, offers:
– Data parsing: It processes and structures raw data for clear Amazon site information.
– Data richness: It includes product details, reviews, prices, and sales data for comprehensive market analysis.
– Easy integration: It provides standard API interfaces for seamless integration into applications or systems.
– Stability assurance: It maintains real-time data access with reliability.
In summary, Scrape API handles raw data extraction, while Data API enriches and simplifies this data for user convenience, complementing each other in offering streamlined Amazon data services.
The Data API encompasses a variety of data points to meet your needs. These data points include but are not limited to:
- Seller ID
- Name
- Address
- Rating
- Reviews
- Products
- Brands
- Description
- ASIN
- Price
- Discount
- Details
- Category
These data points assist users in gaining in-depth insights into sales trends, consumer feedback, and product information on the Amazon platform.
Can I trust the quality of the Amazon dataset provided by Pangolin's Data API?
Of course you can! The Amazon dataset provided by Pangolin’s Data API has been carefully selected and subject to strict quality control, and we have high confidence in it. Here are several key points about the quality assurance of our dataset:
Stringent Quality Assurance Process: Our dataset undergoes a series of quality checks before being released, including data integrity verification, accuracy checks, and logical consistency reviews. These processes ensure the high standard and reliability of the dataset.
Data Accuracy: We use advanced technologies and algorithms to ensure that the data we scrape is consistent with Amazon’s official data, reducing errors and biases to provide users with accurate market information.
Real-time Updates: Pangolin’s Data API regularly refreshes the dataset to include the latest market trends and product information. This continuous update mechanism ensures that the data users receive is always the most current and timely.
Data Relevance: We understand that different users have different data needs, so our dataset covers a wide range of relevant fields, such as product details, price changes, review analysis, to meet the specific needs of different users.
Technical Support: Pangolin has a professional technical team that monitors the data scraping process and promptly addresses any technical issues that may arise, ensuring the continuity and stability of the data service.
User Feedback Mechanism: We highly value user feedback. If users encounter any issues during use, they can provide timely feedback through our customer service channels. We respond quickly and take measures to continuously optimize the quality of the dataset.
Compliance Assurance: Pangolin strictly adheres to relevant laws and regulations and Amazon’s service terms to ensure the legality and compliance of the data scraping and provision process, giving users peace of mind when using our services.
In summary, Pangolin’s Data API is committed to providing users with high-quality and highly reliable Amazon datasets to help make more informed decisions in the competitive market. You can trust our service and focus on your business growth and data insights.
How are Data API and Scrape API billed?
The billing for Data API is based on the number of successful requests. Here are some details about the Data API billing:
Billing for Successful Requests: Each time you make a request through the Data API and receive a valid data response, it is counted as a successful request. Our system records these successful requests and bills accordingly.
Billing Standards: The billing standards for Data API are generally slightly higher than those for Scrape API. This is because Data API not only provides data scraping services but also includes data parsing and processing, which entail additional operational costs.
Parsing Costs: Data API needs to parse the raw data that is scraped and convert it into a structured and easily understandable data format. This process involves additional server resources and development work, making parsing costs the main reason for the higher price of Data API.
Advantages of Choosing Scrape API: If your team has the capability to parse data independently, you can choose to purchase Scrape API. Scrape API offers raw data scraping services at a relatively lower price because it does not include the cost of data parsing. By using Scrape API, you can process and parse the data yourself, potentially reducing the overall cost of data acquisition.
Transparent Billing: We ensure the transparency of the billing process. You can view detailed request records and fees in the account management interface to better manage and control your data acquisition costs.
Packages and Discounts: We offer a variety of package options to meet the needs of different users. Discounts for bulk purchases may also be available for users with a high volume of requests. Please consult our sales team for more information about packages and discounts.
When choosing between Data API and Scrape API, make your decision based on your technical capabilities, data needs, and budget. Our goal is to provide flexible, efficient, and cost-effective data services to meet your business needs.
Can I customize the Amazon dataset according to my needs?
Yes, you can customize the Amazon dataset according to your needs. Here are some customization options and processes:
Select Data Fields: You can choose the data fields you require based on your needs, such as product title, price, reviews, sales volume, brand, category, etc.
Specify Filtering Conditions: You can set specific filtering conditions to narrow down the data range, such as filtering by price range, rating, product category, keywords, etc.
Target Specific Products: If you are interested in specific products or brands, you can specify ASINs (Amazon Standard Identification Numbers) or brand names to obtain relevant data.
Region and Language: You can specify the Amazon site you wish to scrape, along with the corresponding region and language, to gather data from specific markets.
Data Update Frequency: You can set the frequency of data updates based on your needs, such as daily, weekly, or monthly updates.
Customized Reports: You can also customize the format of the reports, such as CSV, Excel, or JSON, to facilitate further analysis and processing of the data.
Amazon Data API supports which data formats and delivery methods?
The Amazon Data API supports a variety of data formats and delivery methods to accommodate different user needs. Here are the available data formats and delivery options:
Data Formats:
JSON: A lightweight data interchange format that is easy to read and write, as well as parse and generate by machines.
NDJSON: Newline Delimited JSON, a variant of JSON where each record is a JSON object separated by newline characters.
CSV: Comma-Separated Values format, a common and relatively simple file format widely used for data exchange.
XLSX: The XML format for Microsoft Excel, suitable for users who need to import data into Excel for further analysis.
Parquet: A columnar storage format that is efficient for data compression and encoding, commonly used in big data processing.
Delivery Methods:
Snowflake: Data can be loaded directly into the Snowflake data warehouse, suitable for users in need of a high-performance data warehouse solution.
Webhook: Data can be pushed in real-time to a specified URL via Webhook.
Google Cloud: Supports delivering datasets to Google Cloud Storage, facilitating integration with Google Cloud services.
Email: Datasets can be sent via email, suitable for small-scale data or non-technical users.
PubSub: Google Cloud’s publish/subscribe messaging service, applicable for applications that require real-time data stream processing.
Amazon S3: Datasets can be stored in Amazon Simple Storage Service (S3) for cloud storage and data processing convenience.
SFTP: Secure File Transfer Protocol, suitable for users who need to transfer large amounts of data securely.
Azure: Supports delivering datasets to Microsoft Azure Blob Storage, facilitating integration with Azure services.
Additionally, you can make requests through the API to obtain data on demand. Pangolin’s Data API offers flexible data retrieval methods, ensuring that you can receive and process data in the way that best suits your business needs.
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