Chewy Price Tracker

Real-time Chewy price tracking - the leading US online retailer for pet products. Two ways to get started: a fully managed intelligence platform or a self-service API to build your own pipeline.

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Option 1: Bright Insights - AI-Powered Price Tracking (Recommended)

Bright Insights is Bright Data's fully managed retail intelligence platform. No scrapers to build, no infrastructure to maintain - just structured, analysis-ready price data delivered to dashboards, data feeds, or your BI tools.

Why teams choose Bright Insights:

• 🚀 Zero setup - Go live in minutes with ready-to-use dashboards and data feeds
• 🤖 AI-powered recommendations - A conversational AI assistant turns millions of data points into actionable insights instantly
• ⚡ Real-time monitoring - Hourly to daily refresh rates with instant alerts (email, Slack, webhook)
• 🌍 Unlimited scale - Any website, any geography, any refresh frequency
• 🔗 Plug-and-play integrations - AWS, GCP, Databricks, Snowflake, and more
• 🛡️ Fully managed - Bright Data handles schema changes, site updates, and data quality automatically

Key use cases:

• ✅ Monitor Chewy prices across all product categories
• ✅ Track stock levels and availability in real time
• ✅ Set up price alerts for products you care about
• ✅ Monitor MAP policy compliance and detect pricing violations
• ✅ Track competitor promotions and promotional dynamics
• ✅ Feed clean, harmonized data directly into dynamic pricing algorithms or AI models

Starting from $250/month - Get a tailored quote →

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Option 2: Self-Service via Web Scraper API

Prefer to build your own pipeline? Bright Data's Web Scraper API gives you programmatic access to Chewy product data - prices, availability, reviews, and more - without managing proxies or scraping infrastructure.

Prerequisites

• Python 3.9 or higher
• A Bright Data account (free trial available)
• A Bright Data API token (how to get one)
• A Bright Data Web Scraper ID for Chewy products (find yours in the Web Scrapers control panel)

Setup

1. Clone this repository

   git clone https://github.com/luminati-io/chewy-price-tracker.git
   cd chewy-price-tracker

2. Install dependencies

   pip install -r requirements.txt

3. Configure credentials

   Copy .env.example to .env and fill in your values:

   cp .env.example .env

   BRIGHTDATA_API_TOKEN=your_api_token_here
   BRIGHTDATA_DATASET_ID=your_dataset_id_here

   Finding your Web Scraper ID Log in to Bright Data Control Panel, navigate to Web Scrapers, search for "Chewy", and copy the Web Scraper ID (format: gd_xxxxxxxxxxxx).

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Usage

1. Track Specific Products by URL

Pass a list of Chewy product URLs to retrieve structured price data:

from price_tracker import track_prices

urls = [
    "https://www.chewy.com/product/sample-item-123456",
    # Add more product URLs here
]

results = track_prices(urls)
for item in results:
    print(f"{item.get('title')} - {item.get('final_price', item.get('price'))} {item.get('currency', '')}")

Or run directly:

python price_tracker.py

2. Discover Products by Keyword

Find products matching a keyword search:

from price_tracker import discover_by_keyword

results = discover_by_keyword("laptop", limit=50)

3. Browse Products by Category URL

Collect all products from a Chewy category page:

from price_tracker import discover_by_category

results = discover_by_category(
    "https://chewy.com/category/example",
    limit=100,
)

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Output Fields

Each result record contains the following fields:

Field	Description
url	Product page URL
title	Product name / title
brand	Brand or manufacturer
initial_price	Original / list price
final_price	Current selling price
currency	Currency code (e.g. USD, EUR)
discount	Discount amount or percentage
in_stock	Whether the item is available
rating	Average star rating
reviews_count	Total number of reviews
seller_name	Name of the seller
images	Array of product image URLs
description	Product description text
timestamp	Data collection timestamp

Sample output

[
  {
    "url": "https://www.chewy.com/product/sample-item-123456",
    "title": "Example Product Name",
    "brand": "Example Brand",
    "initial_price": 59.99,
    "final_price": 44.99,
    "currency": "USD",
    "discount": "25%",
    "in_stock": true,
    "rating": 4.5,
    "reviews_count": 1234,
    "images": ["https://chewy.com/images/product1.jpg"],
    "description": "Product description text...",
    "timestamp": "2025-01-15T10:30:00Z"
  }
]

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Advanced Options

The trigger_collection() function accepts optional parameters to control data collection:

Parameter	Type	Default	Description
limit	integer	-	Maximum number of records to return
include_errors	boolean	true	Include error reports in results
notify	string (URL)	-	Webhook URL to call when the snapshot is ready
format	string	json	Output format: json, csv, or ndjson

Example with options:

from price_tracker import trigger_collection, get_results

inputs = [{"url": "https://www.chewy.com/product/sample-item-123456"}]
snapshot_id = trigger_collection(inputs, limit=200, notify="https://your-webhook.com/hook")
results = get_results(snapshot_id)

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Resources

• 🌟 Chewy Price Tracker - Bright Insights (Managed)
• 🔧 Chewy Scraper API
• 📖 Bright Data Web Scraper API Documentation
• 🗄️ Web Scrapers Control Panel
• 🔑 How to get an API token
• 🌐 Bright Data Homepage

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Built with Bright Data - the industry-leading web data platform.