retailpricingretailecommerceprice comparisonwireless earbudsconsumer electronicsmarket data

Wireless Earbuds Multi-Retailer Price Comparison

September 2026

$29

Fixed price

Sample structure: 86.6 / 100
0 download links issued
Seller: Sufyan Raza
Sign up to purchase

Already have an account? Log in

Have an API key? Use the REST API →

Category
Retail
Records
1,688 rows
Format
CSV
Update Frequency
Not documented
Collection Method
uploaded
PII
No flagged field names; not a privacy audit
File Size
~0.35 MB
Download links issued
0

Source, license and coverage

Supplier documentation. These claims are separate from the automated sample score. A listing edit date is not a data freshness date.

License
Not documented — confirm reuse terms with the seller
Source / creator
Not documented
Collection method
uploaded
Coverage / snapshot
September 2026
Data last updated
Not documented
Update schedule
Not documented

Sample structure score: 86.6 / 100

This automated check describes the inspected sample, not factual accuracy, legal rights, representativeness, or the quality of the entire dataset. It is not a customer rating.

Assessed 10 sample records (CSV) on 2026-10-09. All records in the provided sample were checked.

CheckPointsEvidence
Populated cells36.9 / 5096 of 130 top-level cells contain a value. Null, absent and blank values count as missing; zero and false count as populated.
Consistent value types29.7 / 3095 of 96 populated cells match their column's most common observed type. Types are inferred, not checked against real-world truth.
Consistent record shape20 / 2010 of 10 records have the expected fields. CSV/TSV use the header width; JSON uses the union of observed keys.
Field-level findings and improvements

Check missing cells and mixed types below. Document intentional missing values or mixed types in your field descriptions. Do not fill legitimate unknowns with invented values just to increase this score.

FieldMissing cellsMost common typeOther populated types
sku7 / 10number1 / 3
product_name0 / 10string0 / 10
price0 / 10number0 / 10
retailer0 / 10string0 / 10
brand6 / 10string0 / 4
category0 / 10string0 / 10
condition0 / 10string0 / 10
availability0 / 10string0 / 10
sku_type7 / 10string0 / 3
product_url7 / 10string0 / 3
group_id0 / 10string0 / 10
rank0 / 10number0 / 10
scraped_at7 / 10string0 / 3
How the score is calculated, its limitations, and how to correct an assessment →

About this data

Pricing snapshot across 61 US retailers (Walmart, Best Buy, Amazon, Target, Newegg, B&H Photo, and 55 others) covering 383 qualified wireless-earbud products. Each record includes 3–11 retailer offers with per-retailer prices, lowest/highest/average observed price, in-stock counts, and price spread metrics. 74% of records show ≥15% observed price variation across retailers. All records passed identity validation and independent adversarial review.

Retrieve with your agent or Python

Create an account and configure DATABAZAAR_API_KEY. This example retrieves free or already purchased data; it never makes a purchase. For a multi-file dataset, choose a file index from the manifest.

Download the Python example
python3 retrieve-dataset.py 99f6106c-5b77-46ec-8e92-2d00208dc40e --output dataset.bin
Full supplier documentation
Original supplier listing: Wireless Earbuds Multi-Retailer Price Comparison — 383 Products × 61 US Retailers (Sept 2026) Validated wireless-earbuds pricing dataset collected across 61 US retail sources (Walmart, Best Buy, Amazon, Target, Newegg, B&H Photo, PC Richard & Son, Staples, Crutchfield, Dell and 50+ more) as a September 2026 snapshot. 383 qualified product records, each with 3-11 retailer offers (avg 4.41). Per-retailer prices, lowest/highest/average observed price, observed price difference and spread, in-stock counts. 74% of records show a >=15% observed retailer price spread. Every record passed identity validation (same-model checks across retailers) and an independent adversarial review. Ideal for price-intelligence, e-commerce analytics, market research and AI shopping agents needing ground-truth cross-retailer pricing. Schema: sku, product_name, price, retailer, brand, category, condition, availability, product_url. CSV, 6 files including validation report and refresh notes.

Schema

NameTypeDescription
skunumber
product_namestring
pricenumber
retailerstring
brandstring
categorystring
conditionstring
availabilitystring
sku_typestring
product_urlstring
group_idstring
ranknumber
scraped_atstring

Sample Data

Download a free sample to inspect the data before purchasing.

Public sample only. Sign in to retrieve the full dataset, including free datasets.

For AI Agents

Via MCP Server
# 1. Add to your agent's MCP config (claude_desktop_config.json or similar):
{
  "mcpServers": {
    "databazaar": { "command": "npx", "args": ["databazaar-mcp"] }
  }
}

# 2. Your agent can then call:
search_datasets({ query: "Wireless Earbuds Multi-Retaile" })
// Found: 99f6106c-5b77-46ec-8e92-2d00208dc40e
buy_now({ dataset_id: "99f6106c-5b77-46ec-8e92-2d00208dc40e" })  // uses your saved card
Via REST API
# Authenticate with your API key:
curl https://api.databazaar.io/datasets/99f6106c-5b77-46ec-8e92-2d00208dc40e \
  -H "Authorization: Bearer YOUR_API_KEY"

# Purchase:
curl -X POST https://api.databazaar.io/datasets/99f6106c-5b77-46ec-8e92-2d00208dc40e/buy \
  -H "Authorization: Bearer YOUR_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{"dataset_id": "99f6106c-5b77-46ec-8e92-2d00208dc40e"}'