Sellers

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

Explore 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.

Query parameters

ParameterDescriptionDefault Value

source

Data source. More info.

amazon_sellers

domain

Domain localization for Amazon. The full list of available domains can be found here.

com

query

13-character seller ID

-

geo_location

The Deliver to location. See our guide to using this parameter here.

-

user_agent_type

Device type and browser. The full list can be found here.

desktop

render

Enables JavaScript rendering. More info.

callback_url

URL to your callback endpoint. More info.

-

parse

true will return structured data. 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.

-

- required parameter

Code examples

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

{
    "source": "amazon_sellers", 
    "domain": "de", 
    "query": "A2MUQS6AX5GGR",
    "parse": true
}

The example above uses the Realtime integration method. If you would like to use some other integration method in your query (e.g. Push-Pull or Proxy Endpoint), refer to the integration methods section.

Structured data

Below you can find a structured output example for amazon_sellers.

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": ""
        }
    ]
}

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.

Key DescriptionType

url

The URL of the Amazon seller page.

string

query

A 13-character seller ID used as the original search term.

string

rating

The rating of the seller.

integer

page_type

The type of the Amazon page.

string

description

A short description about the seller.

string

seller_name

The name of the seller.

string

business_name

The name of the business.

string

recent_feedback

A list of most recent feedback items with its respective details.

array

business_address

The address of the business.

string

parse_status_code

The status code of the parsing job. You can see the parser status codes described here.

integer

feedback_summary_data

A list of details available regarding the ratings of the seller.

object

created_at

The timestamp when the scraping job was created.

timestamp

updated_at

The timestamp when the scraping job was finished.

timestamp

job_id

The ID of the job associated with the scraping job.

integer

status_code

The status code of the scraping job. You can see the scraper status codes described here.

integer

parser_type

The type of parser used for parsing the data.

string

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
    },
...
],
...
Key (recent_feedback)DescriptionType

feedback

The feedback submitted for the seller or seller’s product.

string

rated_by

Information on the user who has submitted the feedback and data.

string

rating_stars

The number of stars submitted.

integer

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%"
    },
 ...
}
...
Key (content.feedback_summary_data)DescriptionType

1_month/3_month/12_month/all_time

A filter to review ratings information per defined timeframe.

object

1_month/3_month/12_month/all_time.count

The number of reviews available for a certain timeframe.

integer

1_month-all_time.1_star-5_star

The percentage distribution of rating stars for a certain timeframe.

percentage

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