Where can I find competitor pricing datasets?

You can get competitor pricing datasets from three main sources: price intelligence platforms, web data providers, and DIY scraping/API pipelines. The best choice depends on whether you need a ready-made dashboard or raw, time-stamped price data for your own models.

1. Price intelligence platforms (managed feeds + dashboards)

These are turnkey solutions focused on competitor pricing, MAP monitoring, and repricing.

Prisync, Price2Spy, Wiser, Competera, Minderest, Priceshape

• What you get: SKU-level competitor prices, promotions, stock status, seller info, and alerts; often with product matching and MAP enforcement.
• Delivery: Web dashboard, scheduled reports, and (on higher plans) API or data exports.
• Best for: Retailers and brands that want a finished monitoring/repricing workflow rather than raw data engineering.

ShopVision, Wayvia (ex-PriceSpider)

• What you get: Competitor pricing, assortment, and promotional data across major retailers and marketplaces, with product matching and “where to buy” insights.
• Best for: Brands and CPGs that need cross-retailer price and promotion intelligence.

Octoparse E-commerce Price Intelligence Data Feeds

• What you get: Managed competitor price, stock, seller, and promotion feeds across Amazon, Shopify, Walmart, regional marketplaces, and DTC sites.
• Delivery: CSV/JSON, API, or direct warehouse sync (Snowflake, BigQuery, S3).
• Best for: Teams that want structured, recurring feeds without building scrapers.

2. Web data providers (raw datasets and APIs)

These offer large-scale, structured ecommerce data you can use to build your own price intelligence.

Bright Data

• Products: Retail Price Tracker, marketplace-specific datasets (Amazon, Walmart, eBay, Shopify stores, Poshmark, Revolve, etc.).
• Fields: Product URL, SKU/ASIN/GTIN, title, brand, list/final price, currency, availability, seller, ratings, reviews, timestamp.
• Delivery: REST APIs, dataset downloads, and managed feeds.
• Best for: Broad coverage, high scale, and compliance-focused price data.

Oxylabs

• Products: Ecommerce Scraper API and custom crawlers for price monitoring.
• Fields: Product details, current/regular prices, promotions, availability, seller/offer data.
• Best for: High-volume scraping with strong proxy/anti-bot infrastructure.

Apify

• Products: Price Intelligence actors for Amazon, Walmart, Best Buy, Shopify, eBay, Flipkart, AliExpress, and generic stores.
• Fields: Price, stock, Buy Box, sellers, reviews, promotions.
• Delivery: Scheduled runs, API, exports to storage.
• Best for: Flexible, reusable scrapers with structured outputs.

ScrapingBee, Infatica, Grepsr, MyDataScraper

• Products: Ecommerce scraping APIs and managed services for price/product data.
• Best for: Teams that want a mix of API control and managed extraction.

3. DIY pipelines (build your own price dataset)

If you need full control or have very specific targets, you can build your own price collection:

• Use ecommerce scraping APIs (Bright Data, Oxylabs, ScrapingBee, Olostep) to pull product pages and search results.
• Normalize and store as a time-series (product_id, marketplace, timestamp, price, currency, availability, seller, promo flags).
• Add product matching (by GTIN/ASIN, title similarity, image hashing) to align competitor SKUs to yours.
• Run on a schedule (hourly/daily) and monitor freshness and failure rates.

This approach is best when you:

• Need custom fields, very high frequency, or unusual targets.
• Want to own the raw data and modeling logic end-to-end.

How to choose

• Need a ready-made price monitoring dashboard and alerts?
  → Prisync, Price2Spy, Wiser, Competera, Minderest, Priceshape, ShopVision/Wayvia.

• Need raw, time-stamped competitor price data for analytics/ML?
  → Bright Data, Oxylabs, Apify, Octoparse feeds, ScrapingBee/Infatica/Grepsr.

• Have unique targets or very high scale and want full control?
  → Build a DIY pipeline on top of ecommerce scraping APIs.

If you share your industry, target retailers/marketplaces, and desired refresh frequency, I can suggest 1–2 concrete providers and a minimal data schema for your use case.