AliExpress Scraper

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Scrape AliExpress product search results and run low-noise price watches without a browser. Get titles, prices, discounts, ratings, order counts, images, selling points, sponsored status, and explicit price-change fields.

Value prop

AliExpress search pages are useful for spotting products with demand signals, visible discounts, and low advertised prices. This actor turns keyword searches into structured product rows so you can compare categories, export product ideas, monitor price changes, and prioritize items for deeper supplier research.

Best fit:

• Dropshippers validating product ideas before listing.
• Marketplace analysts comparing advertised prices and discounts.
• E-commerce teams tracking cross-border product trends.
• Sourcing teams building first-pass supplier and product shortlists.

Why teams choose this Actor

• Built-in monitoring: scheduled runs can return only new or repriced products.
• Low-cost HTTP extraction: no browser startup on every page.
• Actionable demand signals: combine orders, rating, price, and discount.
• Stable comparisons: pin country and currency across recurring runs.
• Fail-closed monitoring: incomplete or empty watch runs never replace a valid baseline.

What data you get

Field	Description
product_id	AliExpress product ID
title	Product title
url	Product page URL
sale_price	Current sale price as a number when available
sale_price_currency	Currency reported by AliExpress for the sale price
original_price	Original price before discount when available
discount_percentage	Displayed discount percentage when available
rating	Product star rating when shown
orders_count	Number of orders when shown
image_url	Product image URL
selling_points	Highlighted selling points from the search card
is_sponsored	Whether the result is marked as sponsored
source	Source marketplace (aliexpress)
search_query	Query that produced the result
scraped_at	UTC extraction timestamp
change_type	new, price_changed, or price_available in monitoring mode
previous_sale_price	Previous observed sale price in monitoring mode
price_delta	Absolute change from the previous sale price
price_delta_percentage	Percentage change from the previous sale price

Quick-start input examples

Find best-selling products

{
  "queries": ["wireless earbuds"],
  "sortBy": "orders",
  "maxResults": 50
}

Filter by price band

{
  "queries": ["phone case", "portable blender"],
  "minPrice": 5,
  "maxPrice": 25,
  "sortBy": "default",
  "maxResults": 100
}

Compare low-to-high prices

{
  "queries": ["led desk lamp"],
  "sortBy": "price_asc",
  "maxResults": 75
}

Sample output snippet

{
  "product_id": "1005006789123456",
  "title": "Wireless Bluetooth Earbuds TWS Headphones with Noise Cancelling",
  "url": "https://www.aliexpress.com/item/1005006789123456.html",
  "sale_price": 12.99,
  "original_price": 25.99,
  "discount_percentage": 50.0,
  "rating": 4.7,
  "orders_count": 10234,
  "image_url": "https://ae01.alicdn.com/kf/...",
  "selling_points": ["Free Shipping", "Noise Cancelling", "30h Battery"],
  "is_sponsored": false
}

Use cases

• Dropshipping research: Find products with high order counts, strong ratings, and attractive prices.
• Price monitoring: Track sale price, original price, and discount percentage over time.
• Low-noise alerts: Store a baseline and return only newly seen or price-changed products on scheduled runs.
• Product trend discovery: Compare categories and identify repeated product formats.
• Marketplace benchmarking: Compare AliExpress prices against Amazon, eBay, Shopify, Noon, or local marketplaces.
• Supplier shortlisting: Use search results as a first pass before manually checking store quality, shipping, and variants.
• Ad research: Discover product angles and selling points for creative testing.

Schedule a price-change monitor

Use price-changes with the same monitorStoreName on every scheduled run. The first run establishes the baseline and returns every newly seen product, including listings whose price is not visible. Later runs return only new listings and products whose sale_price changed or became available, with change_type, previous_sale_price, price_delta, and price_delta_percentage. After the baseline, the same new listing or changed advertised price must appear in two consecutive snapshots before it becomes an alert; this filters one-off AliExpress ranking and promotional experiments.

{
  "queries": ["wireless earbuds", "portable blender"],
  "sortBy": "orders",
  "country": "US",
  "maxResults": 100,
  "monitorMode": "price-changes",
  "monitorStoreName": "aliexpress-arbitrage-bestsellers-us"
}

For reliable comparisons, use at least 60 results per query and keep the country, query, sort, and result limit unchanged between runs. Smaller first-page slices can rotate across AliExpress sessions and create noisy false-new alerts. Add a daily or weekly Apify Schedule to turn the saved configuration into a recurring price feed.

Do not overlap runs that use the same monitorStoreName. Monitoring provides at-least-once delivery: a rare storage-write failure after rows are published can cause the same alert to be emitted again on the next run, which is safer than silently losing an alert.

Limitations

• This actor returns search-result data, not full product-detail pages.
• Variant SKUs, shipping matrices, seller-level details, and full review text are not included in the standard output.
• Prices and availability can vary by buyer location, currency, promotion, and time.
• Sponsored listings may have fewer visible fields than organic listings.
• AliExpress can change search ranking and card data without notice.

Competitor and comparison notes

• Compared with full product-detail scrapers: This actor is better for broad product discovery and price scanning. A detail scraper is better when you need variants, shipping options, or full review data.
• Compared with marketplace APIs: Official partner APIs can require approval and may be designed around affiliate or seller workflows. This actor is self-serve for public search-result research.
• Compared with generic crawlers: The output is already normalized into product fields, making it easier to sort by price, discount, rating, and orders.
• Compared with Amazon or local marketplace scraping: AliExpress is useful for cross-border sourcing and early product discovery; Amazon or local marketplaces are better for end-market pricing and demand validation.

Pairs well with Amazon Scraper and Noon.com Scraper for global marketplace coverage.

FAQ

Can I sort by best-selling products? Yes. Use sortBy: "orders".

Can I filter by price? Yes. Use minPrice and maxPrice in USD.

Do I need an AliExpress account? No. The actor reads public search-result pages.

Are shipping costs included? No. Shipping depends on buyer location, seller settings, and product variant, and is not reliably available in search results.

Can I scrape product reviews? Not in the standard output. Ask for a custom build if you need review extraction.

Support and custom builds

Need product details, variants, shipping estimates, review extraction, or marketplace comparison workflows? Contact Thirdwatch at thirdwatch.dev or through the Apify actor support channel.

Last verified: 2026-07