Sellers

The amazon_sellers data source is designed to retrieve Amazon Sellers pages.

Explore output data dictionary for Sellers, offering a brief description, screenshot, parsed JSON code snippet, and a table defining each parsed field. Navigate through the details using the right-side navigation or scrolling down the page.

Request samples

In the code examples below, we make a request to retrieve the seller page for seller ID A2MUQS6AX5GGR on amazon.de marketplace.

curl 'https://realtime.oxylabs.io/v1/queries' \
--user 'USERNAME:PASSWORD' \
-H 'Content-Type: application/json' \
-d '{
        "source": "amazon_sellers", 
        "domain": "de", 
        "query": "A2MUQS6AX5GGR",
        "parse": true
    }'

We use synchronous Realtime integration method in our examples. If you would like to use Proxy Endpoint or asynchronous Push-Pull integration, refer to the integration methods section.

Request parameter values

Generic

Basic setup and customization options for scraping Amazon Seller pages.

- mandatory parameter

Localization

Adapt results to specific geographical locations, domains, and languages.

IMPORTANT: On most page types, Amazon tailors the returned results based on the delivery location of their customers. Therefore, we advise using the geo_location parameter to set your preferred delivery location. You can read more about using geo_location with Amazon here.

Structured data

Below you can find a structured output example for amazon_sellers. Please note that right now we only support parsed output for desktop device type. However, there is no apparent reason to get sellers pages with any other device type, as seller data is going to be exactly the same across all devices.

Amazon_sellers structured output
{
    "results": [
        {
            "content": {
                "url": "https://www.amazon.com/sp?seller=A151FB8X73UXPJ",
                "query": "A151FB8X73UXPJ",
                "rating": 4.5,
                "page_type": "Seller",
                "description": "Service with a smile! Gamer Girlz LLC loves making our customers happy by providing the quickest service & highest quality products. Every order is packaged with care & includes a special THANK YOU for choosing Gamer Girlz to provide you with the first class shopping experience you deserve!",
                "business_name": "Gamer Girlz",
                "recent_feedback": [
                    {
                        "feedback": "The product never came, and was very very expensive. Wasn't eligible for refund for some reason.",
                        "rated_by": "By Juli on May 8, 2022.",
                        "rating_stars": 1
                    },
                    {
                        "feedback": "Favorite game",
                        "rated_by": "By DF on May 8, 2022.",
                        "rating_stars": 5
                    },
                    {
                        "feedback": "It works perfectly and I love the games on it.",
                        "rated_by": "By John on May 8, 2022.",
                        "rating_stars": 5
                    },
                    {
                        "feedback": "All the games I got came super fast and it amazing condition! Would definitely buy from them again and recommend seller to others!",
                        "rated_by": "By Brianna c. on May 6, 2022.",
                        "rating_stars": 5
                    },
                    {
                        "feedback": "They were fast with shipping and provided quality merchandise. A label of authenticity was included with the game I bought to ensure me that I bought a genuine version.",
                        "rated_by": "By anonymous  on May 6, 2022.",
                        "rating_stars": 5
                    }
                ],
                "business_address": "1020 Michigan St. Sandpoint ID 83864 US",
                "parse_status_code": 12000,
                "feedback_summary_table": {
                    "counts": {
                        "30_days": 44,
                        "90_days": 146,
                        "all_time": 7857,
                        "12_months": 611
                    },
                    "neutral": {
                        "30_days": "5%",
                        "90_days": "2%",
                        "all_time": "2%",
                        "12_months": "1%"
                    },
                    "negative": {
                        "30_days": "7%",
                        "90_days": "7%",
                        "all_time": "3%",
                        "12_months": "8%"
                    },
                    "positive": {
                        "30_days": "89%",
                        "90_days": "91%",
                        "all_time": "95%",
                        "12_months": "91%"
                    }
                }
            },
            "created_at": "2022-05-09 06:57:47",
            "updated_at": "2022-05-09 06:57:50",
            "page": 1,
            "url": "https://www.amazon.com/sp?seller=A151FB8X73UXPJ",
            "job_id": "6929323518437886977",
            "status_code": 200,
            "parser_type": ""
        }
    ]
}

Output data dictionary

HTML example

JSON structure

The amazon_sellers structured output includes fields like URL, query, rating, and others. The table below presents a detailed list of each field we parse, along with its description and data type. The table also includes some metadata.

In the following sections, parsed JSON code snippets are shortened where more than one item for the result type is available.

Recent feedback

The recent_feedback data shows recent customer reviews and feedback left for a specific product listing on the Amazon marketplace.

...
"recent_feedback": [
    {
        "feedback": "We truly appreciate you taking time out of your busy day to leave such a nice review. As a small business we truly like dealing with customers like you who share their positive experience.",
        "rated_by": "By Troy on January 29, 2024.",
        "rating_stars": 5
    },
...
],
...

Feedback summary data

The feedback_summary_data is feedback statistics provided for a particular product listing on the Amazon marketplace. The feedback summary data includes information for different time periods, allowing sellers and analysts to track changes in customer sentiment over time.

...               
 "feedback_summary_data": {
    "1_month": {
        "count": 3,
        "1_star": "33%",
        "2_star": "0%",
        "3_star": "0%",
        "4_star": "33%",
        "5_star": "33%"
    },
    "3_month": {
        "count": 10,
        "1_star": "10%",
        "2_star": "0%",
        "3_star": "0%",
        "4_star": "20%",
        "5_star": "70%"
    },
 ...
}
...

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