# Seller Feedback

### Overview <a href="#overview" id="overview"></a>

The Seller Feedback operation is a powerful tool designed to provide deep insights into an Amazon seller's reputation and service quality. While product reviews focus on the item itself, seller feedback captures the customer's experience regarding shipping speed, packaging, and customer service. This operation allows you to programmatically retrieve, monitor, and analyze these critical performance indicators in real-time.

By utilizing the SELLER FEEDBACK endpoint, businesses can perform comprehensive competitive analysis and brand auditing. Accessing structured data on customer ratings and comments enables you to identify a seller's operational strengths or recurring logistical weaknesses. This data is essential for anyone looking to benchmark fulfillment performance or maintain a high-standard seller profile in the competitive Amazon marketplace.

### Key Capabilities

* **Granular Rating Filtering:** Extract feedback based on specific rating scores (from 1 to 5) to isolate negative experiences or highlight top-tier service.
* **Temporal Analysis:** Filter feedback by time ranges (1, 3, 12 months, or all-time) to track service improvements or declines over time.
* **Detailed Comment Extraction:** Retrieve the full text of customer feedback to perform sentiment analysis and identify specific operational pain points.
* **Reviewer Profile Access:** Capture rater names and their Amazon profile links to verify the authenticity of feedback.
* **Multi-Page Data Retrieval:** Efficiently scrape up to 5 pages of feedback in a single batch to gather a significant sample size for analysis.

### Use Cases

* **Competitor Benchmarking**\
  Analyze the feedback of top competitors to understand their shipping standards and how they handle customer issues.
* **Brand Reputation Monitoring**\
  Audit your own seller feedback to identify and resolve recurring complaints before they impact your Account Health.
* **Logistics Performance Audit**\
  Use feedback comments to verify if items are arriving "as described" and "on time," providing an external audit of your 3PL or FBA performance.
* **Due Diligence**\
  Evaluate the historical service quality of a seller when considering acquisitions or long-term partnerships.

### Who Can Benefit?

The Seller Feedback operation is engineered for professionals who rely on reputation data to drive strategic decisions. Whether you are managing your own brand or analyzing the market, this tool provides the transparency needed to evaluate operational excellence.

* **E-commerce Brands & Private Labels**\
  Monitor customer satisfaction regarding fulfillment and service quality.
* **Marketplace Analysts**\
  Conduct deep dives into seller performance and market sentiment.
* **Customer Service Teams**\
  Identify negative feedback patterns to improve response strategies and service standards.
* **Investment & M\&A Groups**\
  Perform logistical due diligence on potential brand acquisitions.

### Accepted Input Types

In addition to the common mandatory parameters required for all Easyparser operations, the SELLER\_FEEDBACK request utilizes the following operation-specific fields. If optional parameters are omitted, the system applies default settings for a broad data retrieval.

* **seller\_id** (Required): The unique Amazon identifier for the seller whose feedback you wish to extract.
* **history\_range** (Optional): Filters the feedback by time period. Supported values are `1`, `3`, `12` (months), or `all`.
* **min\_rating & max\_rating** (Optional): Filters feedback based on the star rating, accepting integers between 1 and 5.
  * Default: If not provided, the system defaults to a range of 1 to 5, capturing all available feedback scores.
* **min\_page & max\_page** (Optional): Defines the depth of the data extraction.
  * Default: If not provided, both values default to 1, returning only the first page of results.
  * Constraint: To maintain optimal performance, the maximum range allowed per request is 5 pages (e.g., extracting from page 1 to 5 or page 6 to 10).

### Available Through

* **Real-Time Integration** \
  Perfect for instant reputation checks during product sourcing or live monitoring of seller health.
* **Bulk Integration**\
  Ideal for auditing hundreds of competitors or tracking the feedback history of an entire brand portfolio at scale.

### Ready to Dive In?

Now that you understand the strategic importance of monitoring seller reputation, it’s time to move on to the technical implementation. In the next section, you will learn how to structure your request to filter feedback by rating, history, and page depth. Let's build your first request!


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# Agent Instructions: Querying This Documentation

If you need additional information that is not directly available in this page, you can query the documentation dynamically by asking a question.

Perform an HTTP GET request on the current page URL with the `ask` query parameter:

```
GET https://easyparser.gitbook.io/easyparser-documentation/real-time-integration/seller-feedback.md?ask=<question>
```

The question should be specific, self-contained, and written in natural language.
The response will contain a direct answer to the question and relevant excerpts and sources from the documentation.

Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.