Chewy Scraper is a powerful tool for extracting detailed product data directly from Chewy.com. It helps you gather structured information such as pricing, reviews, availability, and media assets at scale. Ideal for researchers, analysts, and businesses that rely on accurate pet-product data.
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Chewy Scraper efficiently crawls product listings and category pages to collect product attributes, reviews, Q&A data, and availability information. It solves the challenge of gathering comprehensive pet-supply market data quickly and accurately. This project is designed for analysts, eCommerce professionals, data engineers, and developers who need a reliable Chewy data source.
- Provides granular product insights for competitive analysis.
- Helps track pricing trends, discounts, and product availability.
- Useful for review mining, sentiment analysis, and customer-behavior studies.
- Supports market research and product catalog enrichment.
- Enables automated monitoring of category-level product changes.
| Feature | Description |
|---|---|
| Multi-URL Scraping | Supports both category URLs and product detail URLs. |
| Deep Product Extraction | Captures images, prices, descriptions, specifications, reviews, Q&A, and stock status. |
| Structured Output | Produces clean JSON suitable for ETL pipelines and dashboards. |
| High-Volume Capability | Handles thousands of products efficiently with stable performance. |
| Review & QA Capture | Extracts detailed review text, ratings, timestamps, and answered questions. |
| Field Name | Field Description |
|---|---|
| id | Unique product identifier. |
| partNumber | Internal Chewy part number for the product. |
| name | Full product name/title. |
| manufacturer | Brand or manufacturer. |
| href | Direct URL to the product page. |
| image | Main product image URL. |
| rating | Average customer rating. |
| ratingCount | Number of total ratings. |
| price | Current product price. |
| strikePrice | Original price before discounts. |
| inStock | Whether the item is currently available. |
| reviews | Array of customer reviews with rating, text, author, date, etc. |
| qa | List of customer questions and official or user answers. |
{
"id": "104397",
"partNumber": "104397",
"name": "As Seen on TV Wobble Wag Giggle Ball Dog Toy",
"manufacturer": "As Seen on TV",
"href": "https://www.chewy.com/as-seen-on-tv-wobble-wag-giggle-ball/dp/131878",
"image": "//image.chewy.com/is/image/catalog/104397_MAIN,1639680390",
"rating": 3.703,
"ratingCount": 3421,
"price": "14.08",
"strikePrice": "14.99",
"inStock": true,
"reviews": [
{
"id": 4381123,
"rating": 5,
"reviewText": "So we’ve had this toy for about 6 weeks...",
"userNickname": "Puff",
"createIsoDateTime": "2023-06-01T05:16:55.095773Z"
}
],
"qa": [
{
"id": 289750,
"questionDetails": "Is this chew-proof? I have a strong & powerful chewer!",
"answers": {
"content": [
{
"answerText": "This Dog Toy is suitable for tough chewers...",
"userNickname": "IyanzaC"
}
]
}
}
]
}
Chewy Scraper/
├── src/
│ ├── main.js
│ ├── extractors/
│ │ ├── product_parser.js
│ │ ├── review_parser.js
│ │ └── qa_parser.js
│ ├── utils/
│ │ ├── request.js
│ │ └── html_tools.js
│ └── config/
│ └── settings.example.json
├── data/
│ ├── sample_input.json
│ └── sample_output.json
├── package.json
├── LICENSE
└── README.md
- Market analysts use it to track pricing and stock patterns so they can understand competitive dynamics in the pet-supply sector.
- eCommerce teams use it to benchmark products and enhance their catalogs with cleaner, more complete data.
- Data scientists use it to collect large datasets for sentiment analysis of pet-owner reviews.
- Retail brands use it to monitor competitor offerings to optimize product positioning.
- Researchers use it to study trends in customer behavior and product performance over time.
Q: Does the scraper support category pages with pagination? Yes, it can automatically follow pagination and extract all items across multi-page categories.
Q: What output format does the tool produce? The scraper outputs JSON by default, which is ideal for pipelines, dashboards, and analytical workflows.
Q: Can it extract both reviews and Q&A content? Yes, the scraper gathers detailed review data and customer questions along with staff or community answers.
Q: Does it work with product URLs and category URLs? It supports both, enabling flexible data collection workflows.
Primary Metric: Processes an average of 80–120 product pages per minute under stable network conditions.
Reliability Metric: Typical success rate exceeds 98% across large category crawls.
Efficiency Metric: Uses lightweight HTML parsing and batching strategies to keep resource usage low even during long runs.
Quality Metric: Captures over 95% of visible product attributes, reviews, and Q&A content with minimal missing fields.
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