AliExpress Product Scraper

Extract AliExpress product data for research, sourcing, and price tracking. Collect product titles, prices, ratings, reviews, seller details, shipping signals, and product links in a structured dataset. Built for market intelligence, competitor monitoring, and dropshipping workflows that need fast, repeatable collection.

Features

• AliExpress product extraction — Collect product listings from search, category, and listing URLs
• Keyword-based discovery — Start with a product keyword and gather matching offers at scale
• Seller intelligence — Capture store names, store links, seller IDs, and available reputation signals
• Pricing visibility — Extract sale price, original price, parsed numeric amounts, and discount details
• Demand indicators — Gather ratings, review counts, order volume, and sales text from listings
• Shipping context — Include available shipping text, shipping type, and free shipping flags
• Clean product links — Save both direct product URLs and cleaned canonical links
• Export-ready dataset — Use the results in spreadsheets, dashboards, alerts, and sourcing pipelines

Use Cases

Product Research

Analyze AliExpress listings before launching a product line or adding items to a catalog. Compare price points, review signals, and seller quality across multiple offers.

Price Monitoring

Track product pricing over time and spot discount movement across comparable listings. Use the dataset to support repricing strategies, promo analysis, and margin planning.

Supplier Sourcing

Identify stores with stronger sales activity and better product feedback. Build a shortlist of suppliers using seller details, order counts, and visible marketplace signals.

Competitive Intelligence

Review how similar products are positioned across AliExpress. Compare listing titles, pricing, ratings, and store presence to understand saturation and market opportunities.

Dropshipping Validation

Validate demand before committing to ad spend or inventory planning. Use order counts, ratings, and shipping details to filter products with stronger commercial potential.

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Input Parameters

Parameter	Type	Required	Default	Description
startUrl	String	No	https://www.aliexpress.com/w/wholesale-Towel.html	AliExpress URL to scrape. Supports search, category, and listing pages.
keyword	String	No	Towel	Search term used to discover matching products.
results_wanted	Integer	No	20	Maximum number of products to collect.
proxyConfiguration	Object	No	{"useApifyProxy": true}	Proxy settings for more reliable collection.

At least one of startUrl or keyword should be provided for production runs. If neither is supplied, the actor falls back to its default example input.

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Output Data

Each dataset item can contain the following fields:

Field	Type	Description
product_id	String	Unique AliExpress product identifier.
title	String	Product title from the listing.
price	String	Current displayed price.
original_price	String	Original or pre-discount price when available.
price_amount	Number	Parsed numeric value of the current price.
original_price_amount	Number	Parsed numeric value of the original price.
currency	String	Currency code for the price.
rating	Number	Average product rating.
reviews_count	Number	Number of visible customer reviews.
orders	Number	Parsed order count or sold count.
sales_text	String	Raw sales text from the listing.
store_name	String	Seller or store name.
store_id	String	Unique seller or store identifier.
store_url	String	Direct link to the seller store page.
store_rating	Number	Available store rating or score.
store_followers	Number	Available follower count for the store.
image_url	String	Main product image URL.
image_url_secondary	String	Secondary product image URL when available.
product_url	String	Product detail URL.
product_url_clean	String	Canonical product URL without tracking parameters.
shipping_text	String	Shipping text shown on the listing.
shipping_type	String	Shipping type when available.
free_shipping	Boolean	Whether the listing indicates free shipping.
discount_rate	Number	Parsed discount rate when available.
discount_text	String	Raw discount text from the listing.
coupon_text	String	Coupon or promotional text when available.
choice_label	String	Choice or featured label from the listing.
item_type	String	Listing item type when available.
tags	Array	Tag labels extracted from the listing card.
logistics_trace	String	Logistics or delivery trace identifier when present.
source_click_id	String	Source click identifier metadata when available.
source_pvid	String	Source page view identifier metadata when available.
source_from_page	String	Source placement marker from listing metadata.
source_orig_item_id	String	Original item ID metadata when present.
source_orig_sl_item_id	String	Original source listing item ID metadata when present.
source_order_raw	String	Raw order count value from source metadata.
source_eval_raw	String	Raw review count value from source metadata.
is_sponsored	Boolean	Indicates whether the listing appears to be sponsored.

Some optional fields may be empty when the source listing does not expose that information.

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Usage Examples

Basic Keyword Search

Collect products for a simple search term:

{
    "keyword": "wireless earbuds",
    "results_wanted": 50
}

Start From a Search URL

Use a full AliExpress search URL when you already have a target results page:

{
    "startUrl": "https://www.aliexpress.com/w/wholesale-wireless-earbuds.html",
    "results_wanted": 100
}

Start From a Category URL

Collect products from a broader category page:

{
    "startUrl": "https://www.aliexpress.com/category/44/consumer-electronics.html",
    "results_wanted": 150,
    "proxyConfiguration": {
        "useApifyProxy": true
    }
}

Residential Proxy Setup

Use residential proxies for more reliable large-scale collection:

{
    "keyword": "phone case",
    "results_wanted": 200,
    "proxyConfiguration": {
        "useApifyProxy": true,
        "apifyProxyGroups": ["RESIDENTIAL"]
    }
}

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Sample Output

{
    "product_id": "3256811494945016",
    "title": "28pcs Individually Packaged Compressed Towel Set, Portable Travel Towels",
    "price": "US $0.08",
    "original_price": "US $0.16",
    "price_amount": 0.08,
    "original_price_amount": 0.16,
    "currency": "USD",
    "rating": 4.9,
    "reviews_count": 1,
    "orders": 2000,
    "sales_text": "2,000+ sold",
    "store_name": "Daily Home Store",
    "store_id": "1102312345",
    "store_url": "https://www.aliexpress.com/store/1102312345",
    "store_rating": 96.3,
    "store_followers": 18420,
    "image_url": "https://ae-pic-a1.aliexpress-media.com/kf/A03ae9a69b14c4c59a146e38488fb0ce7g.jpg",
    "product_url": "https://www.aliexpress.com/item/3256811494945016.html?algo_pvid=example",
    "product_url_clean": "https://www.aliexpress.com/item/3256811494945016.html",
    "shipping_text": "Free shipping",
    "shipping_type": "standard",
    "free_shipping": true,
    "discount_rate": 50,
    "discount_text": "50% off",
    "choice_label": "Choice",
    "tags": ["Fast delivery", "Top rated"],
    "source_from_page": "search",
    "source_orig_item_id": "1005011684499509",
    "source_orig_sl_item_id": "1005011681259768",
    "source_order_raw": "2958",
    "source_eval_raw": "1",
    "is_sponsored": false
}

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Tips for Best Results

Use Clean AliExpress Targets

• Start from a valid AliExpress search or category page
• Use product-specific keywords for tighter results
• Re-run broad searches with narrower terms when the dataset is too mixed

Scale Gradually

• Start with 20 to 50 results for validation
• Increase collection size once the output matches your needs
• Break larger research jobs into separate categories or keywords

Use Proxies for Reliability

• Enable Apify Proxy for smoother collection
• Prefer residential proxies for larger runs
• Keep proxy settings consistent across repeated monitoring jobs

Review Optional Fields

• Expect some optional fields to be empty on certain listings
• Use numeric fields like price_amount, rating, and orders for filtering
• Keep raw fields such as sales_text for auditability and reporting

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Integrations

Connect your dataset with:

• Google Sheets — Export results for filtering and reporting
• Airtable — Build a searchable sourcing database
• Looker Studio — Visualize pricing and demand trends
• Make — Route new data into automated workflows
• Zapier — Trigger downstream business actions
• Webhooks — Send fresh results to your own systems

Export Formats

• JSON — For applications, scripts, and APIs
• CSV — For spreadsheets and simple analysis
• Excel — For operational reporting and sharing
• XML — For legacy systems and structured integrations

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Frequently Asked Questions

Can I scrape search results and category pages?

Yes. The actor supports AliExpress search URLs, category URLs, and keyword-driven collection.

Do I need both startUrl and keyword?

No. You can use either one. In most runs, a single target input is enough.

How many products can I collect?

You can request as many results as needed, limited by what the target pages expose and how many unique listings are available.

Will every field be filled for every product?

No. Some listings expose more metadata than others, so optional fields can be empty.

Can I use the data for price tracking?

Yes. The dataset includes displayed price fields, parsed numeric amounts, and product links that work well for recurring monitoring.

Is seller information included?

Yes. When visible on the listing, the actor captures seller name, seller ID, store URL, and related store signals.

Are sponsored listings identified?

When the listing exposes enough metadata, the dataset includes an is_sponsored flag.

When should I use proxies?

Use proxies for more reliable collection, especially when running larger jobs or repeated monitoring tasks.

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Support

For issues or feature requests, contact support through the Apify Console.

Resources

• Apify Documentation
• Apify API Reference
• Apify Scheduling

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Legal Notice

This actor is intended for legitimate data collection, research, and automation use cases. You are responsible for ensuring that your use complies with applicable laws, platform terms, and internal compliance requirements.