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Datarade Listings Scraper

BUSINESSLEAD GENERATIONAUTOMATION
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Datarade Data Product Scraper

Scrape data product listings from Datarade, the marketplace where companies buy and sell data. Returns provider details, pricing tiers, delivery methods, coverage regions, use cases, and ratings for 4,400+ data products from 2,600+ providers — which is more competitive intelligence than most data brokers know what to do with.

Datarade Scraper Features

  • Extracts 20+ fields per product listing including pricing, delivery methods, and coverage regions
  • Discovers product URLs automatically from the Datarade sitemap — no manual URL lists needed
  • Collects provider verification status, ratings, and review counts
  • Returns structured arrays for categories, formats, use cases, and company sizes
  • Handles Cloudflare protection with residential proxy rotation
  • Configurable batch size — scrape 10 products or all 4,400+

What Can You Do With Datarade Data?

  • Data procurement teams — Compare data products, providers, and pricing across the entire marketplace before committing to a vendor
  • Competitive intelligence — Track which data products exist in your category, who sells them, and what they charge
  • Market research — Map the data commerce landscape by category, region, and delivery method
  • Lead generation — Build lists of data providers filtered by coverage region, company size, or data category
  • Investment analysis — Monitor marketplace growth, provider ratings, and pricing trends across the data economy

How the Datarade Scraper Works

  1. Discover products — Fetches the Datarade sitemap and extracts all data product URLs. There are currently 4,400+ of them.
  2. Configure the batch — Applies your maxItems limit so you can run a quick sample or scrape the full marketplace.
  3. Scrape product pages — Crawls each product detail page with concurrent requests, retries, and rate limit handling. You configure it and walk away.
  4. Output structured data — Returns clean JSON with pricing tiers, delivery methods, coverage regions, and metadata for each listing.

Input

{
  "maxItems": 20
}
Field Type Default Description
maxItems integer 20 Maximum number of product listings to scrape. Set to 0 to scrape all (~4,400+).
concurrency integer 8 Number of parallel HTTP requests. Higher means faster. 8 works well for most runs.
proxyConfiguration object none Proxy settings. The scraper uses residential proxies internally, so this is optional for most runs.

Full marketplace scrape:

{
  "maxItems": 0
}

Datarade Scraper Output Fields

{
  "product_name": "B2B Database - 62MM US-Based Contacts",
  "product_url": "https://datarade.ai/data-products/salutary-data-b2b-database-62mm-us-based-contacts-assoc-salutary-data",
  "product_description": "62 million US-based B2B contacts with verified emails, direct dials, and firmographic data.",
  "product_description_long": "Salutary Data's B2B Database provides comprehensive coverage of 62 million US-based business contacts...",
  "provider_name": "Salutary Data",
  "provider_url": "https://datarade.ai/data-providers/salutary-data/profile",
  "provider_verified": true,
  "rating": 4.8,
  "review_count": 12,
  "pricing_tiers": ["One-off purchase: $5,000", "Monthly License: $2,500/month"],
  "sample_available": true,
  "data_categories": ["B2B Data", "Firmographic Data", "Contact Data"],
  "coverage_regions": ["United States", "Canada"],
  "delivery_methods": ["API", "S3 Bucket", "SFTP"],
  "update_frequency": ["Monthly", "Quarterly"],
  "data_formats": [".csv", ".json", ".xls"],
  "use_cases": ["B2B Marketing", "Customer Acquisition", "Lead Generation"],
  "company_sizes": ["Small Business", "Medium-size", "Enterprise"],
  "volume": ["62 million Contacts", "14 million Companies"],
  "history": "12 months of historical data available",
  "scraped_at": "2026-03-12T14:30:00.000Z"
}
Field Type Description
product_name string Data product listing title
product_url string Full URL to the product page on Datarade
product_description string Short description of the data product
product_description_long string Full extended description
provider_name string Data provider company name
provider_url string Full URL to the provider profile on Datarade
provider_verified boolean Whether the provider has a Verified Data Provider badge
rating number Provider rating score (e.g. 4.8 out of 5)
review_count number Number of reviews
pricing_tiers array Pricing license types with prices (e.g. "One-off purchase: $5,000")
sample_available boolean Whether a free sample is available
data_categories array Data categories the product belongs to (e.g. B2B Data, Firmographic Data)
coverage_regions array Countries or regions the data covers
delivery_methods array Data delivery methods (e.g. API, S3 Bucket, SFTP)
update_frequency array Data update frequency options (e.g. monthly, quarterly)
data_formats array Available data file formats (e.g. .json, .csv, .xls)
use_cases array Intended use cases (e.g. B2B Marketing, Customer Acquisition)
company_sizes array Suitable company sizes (e.g. Small Business, Enterprise)
volume array Data volume details (e.g. "62 million Contacts")
history string Historical data availability
scraped_at string ISO timestamp when the data was scraped

FAQ

How do I scrape data product listings from Datarade?

Set maxItems to the number of listings you want, or 0 for everything. The Datarade Scraper handles sitemap discovery, pagination, and Cloudflare challenges automatically.

How much does the Datarade Scraper cost to run?

The Datarade Scraper runs on 256 MB of memory. A batch of 20 products takes a few minutes. A full marketplace scrape of 4,400+ listings takes longer but stays within the default 2-hour timeout.

What data can I get from Datarade?

The Datarade Scraper returns 20+ fields per product listing: provider info, pricing tiers, delivery methods, data formats, coverage regions, use cases, volume stats, ratings, and verification status. Basically everything visible on a product listing page, minus the sales pitch.

Does the Datarade Scraper need proxies?

The scraper uses residential proxies internally for sitemap discovery (Datarade has Cloudflare protection). You don't need to configure proxies yourself — it handles that part.

Can I filter by data category or region?

The Datarade Scraper collects all listings and returns category and region data as arrays. Filter the output dataset by any field after the run completes. Apify's dataset API supports server-side filtering if you'd rather not download everything.

Need More Features?

Need custom fields, filters, or a scraper for a different data marketplace? File an issue or get in touch.

Why Use the Datarade Scraper?

  • Complete marketplace coverage — Scrapes all 4,400+ product listings with 20+ structured fields per record
  • Clean output — Returns typed arrays for categories, regions, formats, and pricing tiers, so you spend less time munging data and more time using it
  • Hands-off operation — Automatic sitemap discovery, Cloudflare bypass, retries, and rate limiting. Configure it once.
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