Bright Data Lowe's Price Tracker Python
Real-time Lowe's price tracking - a major US home improvement retail chain. Two ways to get started: a fully managed intelligence platform or a self-service API to build your own pipeline.
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:
- π Zero setup - Go live in minutes with ready-to-use dashboards and data feeds
- π€ AI-powered recommendations - A conversational AI assistant turns millions of data points into actionable insights instantly
- β‘ Real-time monitoring - Hourly to daily refresh rates with instant alerts (email, Slack, webhook)
- π Unlimited scale - Any website, any geography, any refresh frequency
- π Plug-and-play integrations - AWS, GCP, Databricks, Snowflake, and more
- π‘οΈ Fully managed - Bright Data handles schema changes, site updates, and data quality automatically
Key use cases:
- β Monitor Lowe's prices across all product categories
- β Track stock levels and availability in real time
- β Set up price alerts for products you care about
- β Monitor MAP policy compliance and detect pricing violations
- β Track competitor promotions and promotional dynamics
- β Feed clean, harmonized data directly into dynamic pricing algorithms or AI models
Starting from 250γγ«/month - Get a tailored quote β
Prefer to build your own pipeline? Bright Data's Web Scraper API gives you programmatic access to Lowe's product data - prices, availability, reviews, and more - without managing proxies or scraping infrastructure.
- 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 Lowe's products (find yours in the Web Scrapers control panel)
-
Clone this repository
git clone https://github.com/luminati-io/lowes-price-tracker.git cd lowes-price-tracker -
Install dependencies
pip install -r requirements.txt
-
Configure credentials
Copy
.env.exampleto.envand 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 "Lowe's", and copy the Web Scraper ID (format:
gd_xxxxxxxxxxxx).
Pass a list of Lowe's product URLs to retrieve structured price data:
from price_tracker import track_prices urls = [ "https://www.lowes.com/pd/sample-product/1000123456", # 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
Find products matching a keyword search:
from price_tracker import discover_by_keyword results = discover_by_keyword("laptop", limit=50)
Collect all products from a Lowe's category page:
from price_tracker import discover_by_category results = discover_by_category( "https://lowes.com/category/example", limit=100, )
Each result record contains the following fields:
| Field | Description |
|---|---|
url |
Product URL |
title |
Product name |
brand |
Brand |
model_number |
Model number |
sku |
SKU |
initial_price |
Original price |
final_price |
Current price |
currency |
Currency code |
discount |
Discount |
in_stock |
Availability |
description |
Product description |
images |
Product images |
timestamp |
Collection timestamp |
[
{
"url": "https://www.lowes.com/pd/sample-product/1000123456",
"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://lowes.com/images/product1.jpg"],
"description": "Product description text...",
"timestamp": "2025εΉ΄01ζ15ζ₯T10:30:00Z"
}
]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.lowes.com/pd/sample-product/1000123456"}] snapshot_id = trigger_collection(inputs, limit=200, notify="https://your-webhook.com/hook") results = get_results(snapshot_id)
- π Lowe's Price Tracker - Bright Insights (Managed)
- π§ Lowe's Scraper API
- π Bright Data Web Scraper API Documentation
- ποΈ Web Scrapers Control Panel
- π How to get an API token
- π Bright Data Homepage
Built with Bright Data - the industry-leading web data platform.