All Shopping Scraper - Multi-Platform Product Data Extraction API for Ecommerce Marketplaces

All Shopping Scraper is a multi-source product intelligence API for ecommerce teams that need one dataset across global marketplaces, regional retailers, Benelux and Turkey platforms, and Japan shopping sources. Search by keyword, country, and optional platform allowlist across 23 routes and 33 country inputs. The Actor returns a normalized 58-field product dataset with titles, prices, currency, images, seller signals, availability text, product URLs, source URLs, query, rank, and Apify processing metadata. Pay-per-result pricing is $0.01 per Actor start plus $0.0053 per product result on the FREE tier.

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Why Choose This API

One Product Dataset Across Different Shopping Models

🎯 Product Search in One API Call Run one keyword search across marketplaces, retailers, price-comparison sites, and country-specific shopping routes. The output keeps source platform, site, country, query, and rank so analysts can compare what each source actually returned.

💰 Price Intelligence When Sources Disclose It Normalize prices from sources that may expose list prices, sale prices, original price text, discounts, promotions, availability, seller signals, and localized currencies differently.

🌍 Country-Aware Product Coverage All Shopping Scraper supports 33 countries: Australia, Austria, Belgium, Brazil, Canada, Chile, Egypt, France, Germany, Hong Kong, Hungary, India, Indonesia, Ireland, Italy, Japan, Luxembourg, Malaysia, Mexico, Netherlands, New Zealand, Poland, Portugal, Saudi Arabia, Singapore, Spain, South Korea, Sweden, Switzerland, Turkey, United Arab Emirates, United Kingdom, United States. Country routing follows source marketplace behavior instead of applying a fake post-search filter.

🤖 AI-Ready JSON Output Structured records are designed for retail BI, price dashboards, product-feed enrichment, RAG systems, shopping agents, and product-matching workflows that need consistent fields across different ecommerce formats.

⚡ Managed Processing and Platform-Aware Collection Request up to max_results product records while preserving source-specific behavior. The Actor does not force one marketplace's ranking, pagination, or seller model onto another source.

📊 58 Data Fields Per Product Extract product intelligence including:

• Product metadata (title, brand, category, description, images)
• Pricing data (price, currency, price text, discount, promotion text)
• Seller and fulfillment data (seller, shipping, delivery, return signals)
• Availability, rating, review, rank, source URL, and processing metadata

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Quick Start Guide

How to Extract Product Data in 3 Steps

Step 1: Configure Your Search

Open Actor Input

Step 2: Run the Actor

Click Start and the scraper will extract product data from the supported shopping source for your selected country.

Step 3: Download Your Data

Export results in JSON format or access via API. Data includes the 58-field product dataset schema, with optional fields populated only when the source platform exposes them.

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Input Parameters

Required Inputs

Parameter	Type	Description	Example Values
keyword	string	Product name, model, brand, or search phrase	"wireless mouse", "wireless earbuds"
country	string	Target country or source market for product search	"United States"
max_results	integer	Maximum products to request per selected platform or route	10, 100, 10000

Optional Filters and Output Settings

Parameter	Type	Description	Example Values
platforms	array	Optional platform allowlist; omitted or empty means all routes that support the selected country	["Amazon"], ["AliExpress", "Walmart"]
Source optional fields	mixed	Optional output fields such as seller, rating, discount, shipping, and variants are populated only when the source exposes them	seller, rating, shipping_text

Platform Filter Support Matrix

✅ means the current actor applies the input as a source-side request filter or route selector. ❌ means the input is not exposed for that source.

Platform	keyword	country	max_results	platforms	Detail fields
Amazon	✅	✅	✅	✅	Platform-dependent
AJIO	✅	✅	✅	✅	Platform-dependent
AliExpress	✅	✅	✅	✅	Platform-dependent
eBay	✅	✅	✅	✅	Platform-dependent
Target	✅	✅	✅	✅	Platform-dependent
Flipkart	✅	✅	✅	✅	Platform-dependent
OTTO	✅	✅	✅	✅	Platform-dependent
Argos	✅	✅	✅	✅	Platform-dependent
John Lewis	✅	✅	✅	✅	Platform-dependent
Hepsiburada	✅	✅	✅	✅	Platform-dependent
Rakuten	✅	✅	✅	✅	Platform-dependent
Kakaku	✅	✅	✅	✅	Platform-dependent
Big W	✅	✅	✅	✅	Platform-dependent
Blibli	✅	✅	✅	✅	Platform-dependent
Bol.com	✅	✅	✅	✅	Platform-dependent
JB Hi-Fi	✅	✅	✅	✅	Platform-dependent
Canadian Tire	✅	✅	✅	✅	Platform-dependent
MediaMarkt	✅	✅	✅	✅	Platform-dependent
Walmart	✅	✅	✅	✅	Platform-dependent
ASOS	✅	✅	✅	✅	Platform-dependent
Myntra	✅	✅	✅	✅	Platform-dependent
Nykaa	✅	✅	✅	✅	Platform-dependent
TradeIndia	✅	✅	✅	✅	Platform-dependent

platforms Format Options

Use platforms only on the multi-platform All Shopping Scraper. Leave it empty to route all platforms supported by the selected country, or provide a platform allowlist.

Multi-platform examples:

• [] - route all platforms supported by the selected country
• ["Amazon"] - route Amazon only when supported by the selected country
• ["AliExpress", "Walmart"] - route only the selected supported platforms

Search Formatting Best Practices

Product Name or Category:

• "wireless mouse"
• "Smart TV"
• "PlayStation 5"

Brand and Model:

• "Sony WH-1000XM5"
• "iPhone case"
• "Lenovo laptop"

Country Selection:

• Use the separate country parameter for marketplace routing.
• Do not append the country name to keyword unless the source marketplace expects it as part of the product phrase.

Important: Product search ranking is controlled by the source platform. The Actor preserves query, source_url, and rank so users can compare the dataset with the original source behavior.

Supported Countries for Product Scraping

Australia, Austria, Belgium, Brazil, Canada, Chile, Egypt, France, Germany, Hong Kong, Hungary, India, Indonesia, Ireland, Italy, Japan, Luxembourg, Malaysia, Mexico, Netherlands, New Zealand, Poland, Portugal, Saudi Arabia, Singapore, Spain, South Korea, Sweden, Switzerland, Turkey, United Arab Emirates, United Kingdom, United States

Country-Aware Platform Routing

The runtime selects product routes from the Actor input and the selected country. Country-specific platforms are used only when the selected country matches the coverage listed below.

Platform route	Country / market routing
Amazon	Routed only when supported by the selected country input.
AJIO	Routed only when supported by the selected country input.
AliExpress	Routed only when supported by the selected country input.
eBay	Routed only when supported by the selected country input.
Target	Routed only when supported by the selected country input.
Flipkart	Routed only when supported by the selected country input.
OTTO	Routed only when supported by the selected country input.
Argos	Routed only when supported by the selected country input.
John Lewis	Routed only when supported by the selected country input.
Hepsiburada	Routed only when supported by the selected country input.
Rakuten	Routed only when supported by the selected country input.
Kakaku	Routed only when supported by the selected country input.
Big W	Routed only when supported by the selected country input.
Blibli	Routed only when supported by the selected country input.
Bol.com	Routed only when supported by the selected country input.
JB Hi-Fi	Routed only when supported by the selected country input.
Canadian Tire	Routed only when supported by the selected country input.
MediaMarkt	Routed only when supported by the selected country input.
Walmart	Routed only when supported by the selected country input.
ASOS	Routed only when supported by the selected country input.
Myntra	Routed only when supported by the selected country input.
Nykaa	Routed only when supported by the selected country input.
TradeIndia	Routed only when supported by the selected country input.

Example Input Configuration

{
  "keyword": "wireless mouse",
  "country": "United States",
  "max_results": 100,
  "platforms": [
    "Amazon",
    "AliExpress",
    "Walmart"
  ]
}

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Output Data Schema

Complete Product Listing Data Structure

Each extracted product record uses the shared AgentX shopping dataset structure with 58 normalized fields. Fields are populated only when the source listing, source API, or detail page exposes them reliably.

Product Metadata Fields

Field	Type	Description
main_image	string/null	Primary product image URL
image_urls	array/null	Deduplicated product image URLs
title	string/null	Product title
brand	string/null	Product brand
category, breadcrumbs	string/array/null	Product category and breadcrumb path
description, features, specifications	string/array/object/null	Product content and detail-page fields

Offer & Availability Details

Field	Type	Description
stock_status, stock_text	string/null	Normalized and original availability text
sales_text, buy_limit	string/integer/null	Demand or purchase-limit signals
rating, review_count	number/integer/null	Public rating and review signals
sponsored	boolean/null	Whether the source marks the result as sponsored

Pricing Information

Field	Type	Description
price	number/null	Current numeric price
was_price	number/null	Original or strikethrough price
currency	string/null	ISO currency code or source currency signal
price_text	string/null	Original price text for verification
discount_pct, discount_text, promo_text, installment_text	mixed/null	Discount, promotion, coupon, and installment signals

Seller Data

Field	Type	Description
seller, seller_url, seller_score	string/number/null	Seller, shop, or marketplace signals
shipping_text, shipping_cost	string/number/null	Shipping text and numeric shipping cost when available
delivery_text, pickup_text, return_text, return_days, warranty_text	mixed/null	Delivery, pickup, return, and warranty signals
platform, site, country, product_url, source_url, query, rank	mixed/null	Source traceability fields for query-to-result audits

Example JSON Output

{
  "main_image": "https://example.com/images/wireless-mouse.jpg",
  "image_urls": [
    "https://example.com/images/wireless-mouse.jpg"
  ],
  "title": "Wireless Mouse with Bluetooth and USB Receiver",
  "brand": "Logitech",
  "category": "Electronics",
  "description": "Example All Shopping product record for README documentation.",
  "features": [
    "Source-linked product row",
    "Normalized AgentX shopping schema"
  ],
  "product_id": "EXAMPLE-001",
  "price": 29.99,
  "currency": "USD",
  "price_text": "$29.99",
  "stock_status": "in_stock",
  "stock_text": "In stock",
  "rating": 4.6,
  "review_count": 1248,
  "seller": "Example Store",
  "platform": "Amazon",
  "site": "amazon.com",
  "country": "United States",
  "product_url": "https://www.amazon.com/dp/B0EXAMPLE",
  "source_url": "https://www.amazon.com/s?k=wireless+mouse",
  "query": "wireless mouse",
  "rank": 1,
  "sponsored": false,
  "processor": "https://apify.com/agentx/all-shopping-scraper",
  "processed_at": "2026-06-29T00:00:00+00:00"
}

Export Formats

Export results as JSON, JSONL, CSV, Excel, XML, RSS, or access records programmatically through the Apify dataset API.

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Integration Examples

Actor ID for Platform Integration

• Actor ID: agentx/all-shopping-scraper
• REST API path: agentx~all-shopping-scraper
• Actor URL: https://apify.com/agentx/all-shopping-scraper

Ⓜ️ Make.com Setup:

Use the Apify module, select agentx/all-shopping-scraper, pass the JSON input, then map dataset items into your spreadsheet, pricing database, product feed, or alert workflow.

🎱 N8N.io Setup:

Use the Apify node or HTTP Request node to run the Actor, then fetch defaultDatasetId items for downstream automation.

Python Integration Example

from apify_client import ApifyClient

client = ApifyClient("YOUR_APIFY_TOKEN")

# Prepare Actor input
run_input = {"keyword": "wireless mouse", "country": "United States", "max_results": 100, "platforms": ["Amazon", "AliExpress", "Walmart"]}

# Run the Actor and wait for completion
run = client.actor("agentx/all-shopping-scraper").call(run_input=run_input)

# Fetch results from dataset
items = client.dataset(run["defaultDatasetId"]).list_items().items
for item in items:
    print(item.get("title"), item.get("price"), item.get("currency"))

JavaScript/Node.js Integration

import { ApifyClient } from "apify-client";

const client = new ApifyClient({ token: "YOUR_APIFY_TOKEN" });
const run = await client.actor("agentx/all-shopping-scraper").call({"keyword": "wireless mouse", "country": "United States", "max_results": 100, "platforms": ["Amazon", "AliExpress", "Walmart"]});
const { items } = await client.dataset(run.defaultDatasetId).listItems();
items.forEach((item) => console.log(item.title, item.price, item.currency));

JSON-LD Metadata

{
  "@context": "https://schema.org",
  "@type": "SoftwareApplication",
  "name": "All Shopping Scraper",
  "applicationCategory": "BusinessApplication",
  "operatingSystem": "Cloud",
  "url": "https://apify.com/agentx/all-shopping-scraper",
  "provider": {
    "@type": "Organization",
    "name": "AgentX",
    "url": "https://apify.com/agentx"
  },
  "offers": {
    "@type": "Offer",
    "price": 0.0053,
    "priceCurrency": "USD",
    "description": "Pay-per-result event pricing"
  }
}

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Pricing & Cost Calculator

Transparent Pay-Per-Use Model

All Shopping Scraper uses pay-per-event pricing. apify-actor-start is charged at $0.01 when the Actor starts. The dataset billing event is result: FREE tier $0.0053 per delivered product record, and GOLD/PLATINUM/DIAMOND $0.00477 per delivered product record.

Cost Examples

Delivered product records	FREE-tier result cost	Notes
100	$0.53	Small validation run
1,000	$5.30	Standard category or keyword run
10,000	$53.00	Large export before account-tier discounts

Pricing Scope

Pricing applies to delivered dataset records. The final result count can be lower than max_results when the source platform returns fewer public products, reaches a source-side boundary, or omits usable product rows.

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Use Cases & Applications

Ecommerce & Marketplace Intelligence

Track product prices, availability, images, seller signals, and source ranking across marketplace, retailer, and price-comparison routes without maintaining separate platform parsers.

Market Research & Business Intelligence

Compare assortment and price bands across country-specific sources such as US marketplaces, India retail routes, Benelux Bol.com listings, Turkey Hepsiburada listings, and Japan Rakuten/Kakaku sources.

AI & Machine Learning Applications

Feed one normalized product schema into RAG systems, shopping agents, product matching, recommendation workflows, and market-intelligence dashboards that need source traceability.

Pricing & Assortment Analytics

Schedule repeated runs by keyword, country, and optional platform allowlist to monitor rank movement, price changes, stock text, seller shifts, and source-specific coverage gaps.

Product Feed & Catalog Enrichment

Use normalized titles, brands, images, product URLs, source URLs, categories, features, specifications, and rank fields to enrich catalogs while preserving where every product row came from.

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FAQ

What product platforms does All Shopping Scraper support?

All Shopping Scraper supports: Amazon, AJIO, AliExpress, eBay, Target, Flipkart, OTTO, Argos, John Lewis, Hepsiburada, Rakuten, Kakaku, Big W, Blibli, Bol.com, JB Hi-Fi, Canadian Tire, MediaMarkt, Walmart, ASOS, Myntra, Nykaa, TradeIndia. Country support depends on the actor input schema and source marketplace coverage.

How many products can All Shopping Scraper extract per selected platform?

max_results is the requested upper bound per selected route. The final count can be lower when a source returns fewer public products, blocks pagination, reaches its own boundary, or exposes fewer usable rows for that country.

Which countries are supported?

Supported countries are defined by the Actor input schema: Australia, Austria, Belgium, Brazil, Canada, Chile, Egypt, France, Germany, Hong Kong, Hungary, India, Indonesia, Ireland, Italy, Japan, Luxembourg, Malaysia, Mexico, Netherlands, New Zealand, Poland, Portugal, Saudi Arabia, Singapore, Spain, South Korea, Sweden, Switzerland, Turkey, United Arab Emirates, United Kingdom, United States.

How fresh is the product data?

The Actor reads current public search/listing responses at run time. Marketplace ranking, availability, price, and seller signals can change between runs.

What data format does the scraper output?

The default Apify dataset can be exported as JSON, JSONL, CSV, Excel, XML, RSS, or consumed through the dataset API.

Can I integrate this with my existing tools?

Yes. Use the Apify Client SDK, REST API, Make, n8n, Zapier-style workflows, webhooks, or direct dataset exports.

Is the scraper compatible with AI frameworks?

Yes. The normalized JSON dataset is suitable for LangChain, CrewAI, AutoGPT, RAG pipelines, and custom shopping agents.

How do I handle limited source availability?

Use query, source_url, platform, site, country, rank, and processed_at to verify what the source returned for that run.

Why do some search results seem unrelated to my search terms?

Shopping sources use different ranking systems: retail search, marketplace relevance, price-comparison sorting, sponsored placements, and localized availability can all affect results. The Actor preserves the source ranking instead of rewriting it.

Why are some price fields empty?

Some source listings hide prices, require selection, show unavailable products, or expose price only on detail pages. Optional fields remain empty when the source does not expose them reliably.

What if no products are found?

Try a broader keyword, confirm the selected country is supported, and check whether the same query returns public results on the source marketplace.

Can I get seller or shop information?

Seller and shop fields are populated when the source exposes them. Some platforms show retailer-owned listings or omit seller details.

How accurate is rating data?

Rating and review fields reflect the public values exposed by the source at run time. They should be treated as marketplace-provided signals.

How are platform-specific failures handled?

The Actor keeps source-specific failures isolated where possible. Use run logs, source_url, and dataset counts to diagnose source-side blocks or empty responses.

Why do different platforms show different product counts?

Amazon, AliExpress, Bol.com, Hepsiburada, Rakuten, Kakaku, and retail routes each expose different ranking, pagination, availability, deduplication, and result-limit behavior. The Actor preserves those differences so users see realistic source data.

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SEO Keywords & Search Terms

Primary Keywords

All Shopping Scraper, multi-platform product scraper, shopping data API, ecommerce marketplace scraper

Long-Tail Keywords

scrape product prices across marketplaces, multi-country ecommerce product data, Apify shopping scraper API, product search dataset by country

Industry Terms

marketplace intelligence, cross-market price monitoring, product feed enrichment, retail assortment analytics, AI shopping data

Location-Based Keywords

United States ecommerce product data, Benelux marketplace data, Turkey ecommerce scraper, Japan product price comparison data, country-aware product search API

Use Case Keywords

competitor price tracking, marketplace rank monitoring, retail catalog enrichment, cross-border product research, AI product intelligence

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Trust & Certifications

All Shopping Scraper is maintained by AgentX and runs on Apify infrastructure. The output keeps source URLs, query values, platform names, country, rank, and processing timestamps so users can audit the relationship between input and dataset rows.

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Legal & Compliance

Data Rights & Usage

Use exported product data according to applicable laws, marketplace terms, and your own compliance requirements. The Actor returns public product/search information and does not grant resale or intellectual-property rights.

Privacy Compliance

The Actor is built for product and listing data, not private account data, checkout data, or personal shopper profiles.

Platform Terms of Service

All Shopping Scraper respects source-platform public responses. Platform ranking, availability, pricing, and result limits can change independently of the Actor.

Enterprise Support

For high-volume usage, dedicated workflows, or compliance review, contact AgentX through the Apify Actor page or publisher profile.

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Related Tools

Shopping & Ecommerce

• All Shopping Scraper
• AliExpress Product Scraper
• Bol Product Scraper
• Hepsiburada Product Scraper
• Kakaku Product Scraper
• Rakuten Product Scraper

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Support & Community

• Actor page: https://apify.com/agentx/all-shopping-scraper
• Publisher page: https://apify.com/agentx
• Use Apify run logs and dataset previews to verify query, country, source_url, and rank when diagnosing result differences.

Last updated: 2026-06-29. Maintained by AgentX.