Ecommerce Scraping API to Extract Data From Every Marketplace

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.

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50+marketplaces covered
500M+product records tracked monthly*
99.2%field-level accuracy*
Live extraction feed
sample preview
Product
Market
Stock
Price
syncing…

*Illustrative figures — final numbers are scoped to your project during onboarding.

Average client rating 4.7 / 5 across Clutch, GoodFirms and Trustpilot
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Marketplace page

Product, category, or seller URL

Extraction engine

Rendering, proxies, CAPTCHA handling

Normalization

Schema validation, currency & unit mapping

Your systems

API, warehouse, or webhook

What an ecommerce scraping API actually does

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.

Built for teams that watch the market for a living

Core capabilities

Product page extraction

Pull a single product's full detail set — title, price, images, specs, variants — from a direct URL.

Category & search crawling

Feed in a category link or search term and receive every listed product, paginated automatically.

Seller & storefront scraping

Extract a seller's full active catalog — useful for MAP enforcement and reseller monitoring.

Review & ratings extraction

Collect review text, star ratings, reviewer metadata and verified-purchase flags for sentiment analysis.

Bulk & scheduled jobs

Submit thousands of URLs at once, or set a recurring interval so your dataset refreshes on its own.

Historical price tracking

Snapshot pricing over time to build trend lines, not just point-in-time reads.

The full data-field set

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

What the data looks like across categories

Three records from three different marketplaces — electronics, fashion, and grocery. Values below are illustrative.

amazon.com
RDA-EC-0019284

AeroGlide Wireless Noise-Cancelling Headphones

$109.99$149.99
Rating4.6 (3,821)
StockIn stock
SellerTechNest Retail Co.
myntra.com
RDA-FS-0027710

Solstice Men's Running Shoes, Slate Grey

$54.00
Rating4.2 (960)
StockLow stock — 3 left
SellerSolstice Official Store
bigbasket.com
RDA-GR-0004432

Whole Wheat Flour, 5kg Pack

$6.40
Rating4.4 (2,105)
StockIn stock
DeliveryNext-day
{
  "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"
}

Call it from wherever you build

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.

How it works

01

Submit a request

A product URL, keyword, category, or seller page — via API call or bulk upload.

02

We fetch the page

Rotating residential and datacenter IPs, headless rendering and CAPTCHA handling run behind the scenes.

03

Raw HTML is parsed

Content is mapped into the structured field set relevant to that marketplace's layout.

04

Data is validated and normalized

Currencies, units, and categories are standardized across sources.

05

Output is delivered

As JSON or CSV, or pushed to your webhook, cloud storage, or database.

Extract country-wise ecommerce data

IN

India

Delivery formats & where the data lands

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.

What teams build with it

Pricing

Dynamic repricing

Feed competitor prices into your repricing engine so your storefront adjusts automatically within the rules you set.

Brand protection

MAP monitoring

Detect unauthorized sellers or listings priced below your minimum advertised price policy.

Catalog

Catalog enrichment

Fill gaps in your own product data — images, specs, descriptions — from manufacturer or marketplace listings.

Planning

Demand & assortment planning

Track which categories and SKUs are trending, out of stock, or newly launched across competitors.

Product

Voice-of-customer analysis

Mine review text at scale to surface recurring complaints or praised features ahead of your next release.

Strategy

Market-entry research

Understand pricing bands, seller density, and assortment depth in a country before launching there.

Building this in-house vs. using our API

In-house scraping team
Real Data API
Time to first dataset
Weeks to months
Days
Proxy & CAPTCHA handling
Built and maintained by you
Included
Upkeep when a site changes layout
Ongoing engineering time
Handled for you
Scaling to new marketplaces
New build per site
Add to existing pipeline
Core engineering focus
Split with scraping upkeep
Stays on your product

Plans that scale with your catalog

Exact pricing depends on marketplaces, fields, and refresh frequency — these tiers describe how engagements are typically structured.

Starter

Self-serve API

  • Single-marketplace access
  • Standard field set
  • Daily or weekly refresh
  • Email support
Talk to sales
Growth

Multi-marketplace feed

  • Multiple marketplaces & regions
  • Custom fields on request
  • Hourly or real-time refresh
  • Webhook & cloud delivery
  • Priority support
Start a pilot
Enterprise

Full-scale deployment

  • Tens of millions of SKUs
  • Dedicated pipeline & support
  • Custom SLA & contract terms
  • Direct database integration
Request a quote

Accuracy, scale, and how we handle data responsibly

Support & service commitments

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.

Getting started

01

Tell us what you need

The marketplaces, regions, and data fields that matter for your business.

02

We scope a pilot

Typically a sample dataset from 2–3 target sites within 2–5 business days.

03

Review the sample

Adjust fields or frequency until the data matches what you need.

04

Move to production

Your feed goes live on the delivery method and schedule you choose.

Country-wise coverage

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.

Ecommerce operations lead, mid-market fashion retailer

Illustrative placeholder — swap in a verified client quote before publishing.

Questions, answered

Do I need coding experience to use this API?

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.

Can you scrape a marketplace that isn't on your list?

In most cases, yes. New marketplace integrations are scoped case by case depending on site complexity.

Is historical price data available, or only current prices?

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.

What happens if a marketplace changes its page layout?

Our monitoring flags layout changes and our team updates the extraction logic — typically without any action needed on your end.

How is pricing structured?

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.

Are there rate limits on the API?

Yes, limits scale with your plan tier. Enterprise plans can be configured for sustained high-volume throughput.

Contact Us

We are eagerly waiting to hear you.

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Drop us an email at sales@realdataapi.com and you'll receive a reply within 24 hours!

Give us a Call

Want to talk? Our support staff on +91 8866656657 is at your service 24x7 support worldwide.

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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.

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