> For the complete documentation index, see [llms.txt](https://help.listly.io/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://help.listly.io/support/ecommerce-review-scraping/ecommerce-websites/bestbuy-scraper.md).

# Best Buy

<figure><img src="/files/LC3UG0PsgJLTJXXywP5G" alt=""><figcaption></figcaption></figure>

{% hint style="success" %}
**Ready to scrape?** No login required! Preview the sample data, explore the available fields, and download a free sample set.
{% endhint %}

{% tabs %}
{% tab title="Sample Data" %}
{% file src="/files/42JKPJMadnqMcCYSbsEj" %}

Test page: <https://www.bestbuy.com/product/apple-11-inch-ipad-a16-chip-with-wi-fi-128gb-silver/JJGCQG39VG/sku/6578266/reviews>
{% endtab %}

{% tab title="Available Fields" %}

| Field               | Description                                     |
| ------------------- | ----------------------------------------------- |
| `review-title`      | Headline of the customer review                 |
| `review-body`       | Full text of the customer review                |
| `rating`            | Star rating (1–5) the reviewer gave the product |
| `reviewer-name`     | Display name of the reviewer                    |
| `verified-purchase` | Whether the review is from a verified purchase  |
| `review-date`       | Date the review was posted                      |
| {% endtab %}        |                                                 |

{% tab title="Use Cases" %}
**Rating & Feature Breakdown.** Break reviews down by star rating to see what earns top marks and what draws the rare complaint, then trace each score back to the specific features — battery, display, performance, value — reviewers call out in the text.

**Real-World Use Case Mining.** Surface recurring themes from review text such as note-taking, streaming, photo editing, or travel to learn how the product actually fits into customers' daily lives — invaluable for matching messaging to how people really use it.

**Variant & Value Sentiment.** Pull color, storage, and price mentions out of the review text to see which configurations win and which spark concerns about value, storage limits, or accessories — informing inventory and bundling decisions.

**Verified-Purchase Trust & Social Proof.** Separate verified purchasers from unverified reviews to ground analysis in genuine buyers, then feature your highest-rated, most detailed reviews as testimonials.
{% endtab %}
{% endtabs %}

<p align="center"><a href="https://gist.github.com/listly-io/69b4902add3018515d77851036d84e18" class="button primary">Code</a></p>


---

# Agent Instructions
This documentation is published with GitBook. GitBook is the documentation platform designed so that both humans and AI agents can read, navigate, and reason over technical content effectively. Learn more at gitbook.com.

## 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, and the optional `goal` query parameter:

```
GET https://help.listly.io/support/ecommerce-review-scraping/ecommerce-websites/bestbuy-scraper.md?ask=<question>&goal=<endgoal>
```

`ask` is the immediate question: it should be specific, self-contained, and written in natural language.
`goal` is optional and describes the broader end goal you are ultimately trying to accomplish on behalf of the user. GitBook uses it to tailor the answer towards what is most useful for that goal.

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.