Extract structured product data from 50+ global marketplaces through a single ecommerce scraping API. Collect prices, stock, reviews, sellers, and catalog data in a format ready for your applications, analytics, and databases.
*Illustrative figures — final numbers are scoped to your project during onboarding.
Product, category, or seller URL
Rendering, proxies, CAPTCHA handling
Schema validation, currency & unit mapping
API, warehouse, or webhook
Instead of manually opening product pages across dozens of sites, you send a request — a product URL, a keyword, a category page, or a seller storefront — and get back clean, structured data containing everything that page holds: price, title, images, stock status, ratings and more. The scraping infrastructure, proxy rotation, browser rendering and HTML parsing all happen behind the API; you just call an endpoint and receive data.
Pull a single product's full detail set — title, price, images, specs, variants — from a direct URL.
Feed in a category link or search term and receive every listed product, paginated automatically.
Extract a seller's full active catalog — useful for MAP enforcement and reseller monitoring.
Collect review text, star ratings, reviewer metadata and verified-purchase flags for sentiment analysis.
Submit thousands of URLs at once, or set a recurring interval so your dataset refreshes on its own.
Snapshot pricing over time to build trend lines, not just point-in-time reads.
Field availability varies slightly by marketplace. Anything outside this standard set — promo banners, Q&A threads, loyalty pricing tiers — can be added as a custom field.
| Category | Fields |
|---|---|
| Product identity | Product name, product URL, product ID / ASIN / SKU, GTIN / UPC / EAN, brand, model number |
| Pricing | List price, sale price, discount %, currency, price-history snapshot, tax/VAT indicator, bundle pricing |
| Availability | Stock status, quantity available (where exposed), restock date, delivery estimate, fulfilment type |
| Descriptive content | Short description, full description, bullet features, category, subcategory, breadcrumb path |
| Media | Primary image URL, gallery image URLs, video links, 360° view availability |
| Variants | Size, color, material, style, variant-level price and stock |
| Ratings & reviews | Average rating, total review count, rating distribution, review text, review date, verified-purchase flag, reviewer alias |
| Seller data | Seller name, seller rating, seller location, number of listings, shipping origin |
| Logistics | Shipping cost, shipping speed options, return policy summary, warranty info |
| Merchandising signals | Badge labels (best seller, sponsored, etc.), rank in category, cross-sell / related products |
Three records from three different marketplaces — electronics, fashion, and grocery. Values below are illustrative.
{
"product_id": "RDA-EC-0019284",
"product_name": "AeroGlide Wireless Noise-Cancelling Headphones",
"brand": "AeroGlide",
"category": "Electronics > Audio > Headphones",
"price": { "currency": "USD", "list_price": 149.99, "sale_price": 109.99 },
"availability": { "status": "In Stock" },
"ratings": { "average_rating": 4.6, "total_reviews": 3821 },
"seller": { "name": "TechNest Retail Co." },
"scraped_at": "2026-09-17T06:42:11Z"
}A single request returns a structured record. Below is the same call in three languages.
# Fetch a single product record
curl -X POST https://api.realdataapi.com/v1/ecommerce/product \
-H "Authorization: Bearer YOUR_API_KEY" \
-H "Content-Type: application/json" \
-d '{"url": "https://www.amazon.com/dp/B0EXAMPLE"}'import requests
resp = requests.post(
"https://api.realdataapi.com/v1/ecommerce/product",
headers={"Authorization": "Bearer YOUR_API_KEY"},
json={"url": "https://www.amazon.com/dp/B0EXAMPLE"}
)
data = resp.json()
print(data["price"]["sale_price"])const res = await fetch("https://api.realdataapi.com/v1/ecommerce/product", {
method: "POST",
headers: {
"Authorization": "Bearer YOUR_API_KEY",
"Content-Type": "application/json"
},
body: JSON.stringify({ url: "https://www.amazon.com/dp/B0EXAMPLE" })
});
const data = await res.json();Endpoint and key format above are illustrative — your onboarding call includes real credentials and the current endpoint reference.
A product URL, keyword, category, or seller page — via API call or bulk upload.
Rotating residential and datacenter IPs, headless rendering and CAPTCHA handling run behind the scenes.
Content is mapped into the structured field set relevant to that marketplace's layout.
Currencies, units, and categories are standardized across sources.
As JSON or CSV, or pushed to your webhook, cloud storage, or database.
| Format | Best for |
|---|---|
| REST API (JSON) | Live, on-demand lookups embedded in your application |
| CSV / Excel export | Analysts and teams working in spreadsheets |
| Webhook push | Event-driven pipelines reacting to price or stock changes |
| Cloud storage drop (S3, GCS, Azure Blob) | Scheduled bulk feeds into a data warehouse |
| Direct database load | Data landing straight into PostgreSQL, MySQL, or Snowflake |
Commonly connected downstream to: Google Sheets, BigQuery, Snowflake, Shopify, and Zapier-style automation tools.
Feed competitor prices into your repricing engine so your storefront adjusts automatically within the rules you set.
Detect unauthorized sellers or listings priced below your minimum advertised price policy.
Fill gaps in your own product data — images, specs, descriptions — from manufacturer or marketplace listings.
Track which categories and SKUs are trending, out of stock, or newly launched across competitors.
Mine review text at scale to surface recurring complaints or praised features ahead of your next release.
Understand pricing bands, seller density, and assortment depth in a country before launching there.
Pricing depends on marketplaces, fields, and refresh frequency. Pick the route that fits your catalog, and we'll scope the details with you.
Start analysing today, with no collection to set up.
Build live data into your own tools and pipelines.
For large catalogs and requirements that need scoping.
Preview data shown is illustrative. Final scope is agreed during onboarding.
Uptime targets, response times, and escalation paths are defined per contract and scale with plan tier — Growth and Enterprise engagements include priority support and a named point of contact. All plans include monitoring for extraction failures, so a broken feed gets flagged before it affects your downstream systems.
The marketplaces, regions, and data fields that matter for your business.
Typically a sample dataset from 2–3 target sites within 2–5 business days.
Adjust fields or frequency until the data matches what you need.
Your feed goes live on the delivery method and schedule you choose.
We maintain dedicated scraping coverage across major regional marketplaces — Amazon and Walmart in the US, Flipkart and Myntra in India, Noon and Namshi in the UAE, Zalando and Otto in Germany, and more. Visit our country-specific ecommerce data pages for the full retailer list in your target market.
We stopped checking competitor prices by hand once this feed went live — the repricing rules just run now, and the team spends that time on merchandising instead.
Illustrative placeholder — swap in a verified client quote before publishing.
Basic API integration knowledge helps, but our team can also deliver data as ready-made CSV or Excel files if you'd rather skip direct API calls.
In most cases, yes. New marketplace integrations are scoped case by case depending on site complexity.
Both. You can request point-in-time snapshots going forward, and in many cases we can build a historical price-trend feed once tracking begins.
Our monitoring flags layout changes and our team updates the extraction logic — typically without any action needed on your end.
Pricing depends on the number of marketplaces, fields, and refresh frequency you need. Most engagements start with a scoped pilot so you can see real output before agreeing on a plan.
Yes, limits scale with your plan tier. Enterprise plans can be configured for sustained high-volume throughput.
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+91 8866656657
sales@realdataapi.com
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Disclaimer : RealData API functions solely as an independent data infrastructure and technology solutions provider. We build customized automation workflows designed to collect publicly accessible web data based exclusively on client instructions. RealData API neither owns proprietary datasets nor engages in the sale or redistribution of extracted information. Our operations are limited strictly to lawful public web data processing and never involve unauthorized access to restricted systems or private networks. Any company names, trademarks, logos, or brand references displayed on this website are used purely for demonstrative and illustrative purposes to showcase our technical capabilities and do not imply endorsement, partnership, or affiliation. Use of our platform and services remains subject to our Terms of Service.
