DATA SOLUTION
Monitor Competitor Pricing Across Digital Channels.
Track competitor pricing, promotions, product availability, and catalog changes across digital channels.
THE CHALLENGE
Getting reliable competitor pricing data from the web is harder than it looks.
Constant price changes
Prices and promotions change throughout the day across competing channels.
Hard-to-match products
The same product is named and structured differently on each competitor site.
Manual tracking
Spreadsheets and manual checks do not scale across large catalogs.
Scattered promotions
Offers, discounts, and bundles are spread across category, product, and campaign pages.
THE MYDATASCRAPER APPROACH
From fragmented web pages to structured business intelligence.
MyDataScraper collects competitor prices on your schedule, matches records to your catalog, and delivers comparable price data to your dashboard, database, or API.
What you can build with Competitor Price Monitoring.
Price tracking
Capture current competitor prices across selected sources.
MRP comparison
Compare selling price with listed MRP where available.
Promotions
Collect discounts, offers, and campaign information where exposed.
Availability
Track stock indicators and out-of-stock signals where available.
Product matching
Align competitor records with your own catalog using SKU, name, or custom rules.
Historical pricing
Build price history for trend and elasticity analysis.
Category monitoring
Track pricing across whole categories, not just individual SKUs.
Multi-source comparison
Compare the same product across multiple competitors side by side.
Build the dataset around your required fields.
| FIELD | EXAMPLE |
|---|
Available fields depend on the source website and specific use case.
Collect data from the sources your business depends on.
COMPETITOR SITES
- Brand websites
- Online stores
- Retail catalogs
MARKETPLACES
- Retail platforms
- Online marketplaces
- Specialized marketplaces
PROMOTION PAGES
- Offer pages
- Deal listings
- Category pages
Sources can be evaluated based on your target data and collection requirements. Not every website can be supported.
A data workflow designed around your requirements.
-
01
Define
Identify sources, fields, locations, filters, and update frequency.
-
02
Extract
Collect relevant information from the selected sources.
-
03
Structure
Normalize fields and standardize records.
-
04
Validate
Check records, remove duplicates, and apply quality controls.
-
05
Deliver
Send data through the selected delivery method.
Receive your data the way your systems need it.
How frequently can the data be updated?
One-Time
A single dataset delivered once.
Daily
Refreshed every day.
Weekly
Refreshed every week.
Scheduled
Custom intervals you define.
Near Real-Time*
Where the source and workflow allow.
*Update frequency depends on source availability, technical requirements, and the specific workflow.
What businesses use this data for.
Dynamic pricing
Adjust pricing using current, matched market data.
Competitor monitoring
See when rivals change price, promotion, or assortment.
Category analysis
Compare price positioning across categories and segments.
Promotion tracking
Follow campaigns, discounts, and seasonal offer patterns.
Business intelligence
Feed price data into internal reporting and dashboards.
Historical analysis
Study price trends and elasticity over time.
Built for teams across data-intensive industries.
API DELIVERY
Put competitor price monitoring directly into your application.
Access structured data through an API instead of maintaining extraction infrastructure yourself.
Illustrative example only. Endpoints and fields are defined per project.
GET /api/prices? sku=WH-210 source=marketplace-a
{
"sku": "WH-210",
"competitor_price": 2299,
"mrp": 3999,
"discount": 43,
"promotion": true,
"availability": "in_stock",
"captured_at": "2026-10-02T09:00:00Z"
}
See the data before you build around it.
Review a sample dataset to understand the structure, fields, and level of detail available for your use case.
| PRODUCT | SOURCE | PRICE | MRP | PROMO | CAPTURED |
|---|---|---|---|---|---|
| Wireless Headphones | Site A | ₹2,299 | ₹3,999 | Yes | 09:00 |
| Wireless Headphones | Site B | ₹2,499 | ₹3,999 | No | 09:00 |
| Air Fryer 4L | Site A | ₹5,799 | ₹8,999 | Yes | 09:00 |
| Running Shoes M | Site B | ₹3,199 | ₹4,499 | No | 09:00 |
More than extraction.
Data engineering
Design workflows around your actual data requirements.
Structured output
Receive consistent and analysis-ready datasets.
Custom workflows
Choose sources, fields, frequency, and delivery around your use case.
Ongoing data operations
Support recurring workflows as source structures and requirements evolve.
Frequently asked questions.
What pricing data can be collected?
Selling price, MRP, discount percentage, promotional offers, availability, seller information, and other fields depending on what each source exposes.
How often can prices be updated?
Workflows can run daily, weekly, or on custom schedules. Near real-time tracking depends on the source and workflow requirements.
Can you match competitor products to my catalog?
Yes. We build matching logic using SKU, product name, brand, attributes, or custom rules to align competitor records with your catalog.
Which competitor websites can you monitor?
Sources can be evaluated based on your target competitors and product categories. Share the URLs and we will assess feasibility.
Can I track specific SKUs or whole categories?
Both. Monitoring can be scoped to a fixed list of SKUs, whole categories, or dynamic rules based on your catalog.
What formats can I receive?
JSON, CSV, Excel, database delivery, scheduled feeds, cloud storage, or a custom integration.
Can you provide an API?
Yes. Price data can be delivered through an API designed around your application and dashboard needs.
Can you build historical price datasets?
Yes. Recurring workflows build price history over time for trend and elasticity analysis.
How do you handle website changes?
Recurring workflows are maintained and adjusted as competitor site structures change so tracking keeps matching your requirements.
Build the Competitor Price Monitoring workflow your business needs.
Tell us what data you need, which sources matter, how often it should be updated, and how you want to receive it.
Explore related solutions.
Market Research Data
Collect large-scale web data for market intelligence, competitor research, product discovery, and…
Explore →E-Commerce Data Solutions
Product catalogs, pricing, availability, reviews, categories, brands, and marketplace intelligence.
Explore →Product Data Solutions
Build structured product datasets across marketplaces, retailers, brands, and online stores.
Explore →Restaurant & Food Data
Build structured restaurant, menu, pricing, availability, location, and review datasets.
Explore →