This repository calls a paid Apify Actor built by Flatrow Data Studio (the author). Links to apify.com carry the author's affiliate code: the author may earn a commission if you sign up to Apify through them, at no extra cost to you.
A small AliExpress scraper in Python. scrape.py searches AliExpress for one or more keywords and saves one row per product to CSV: price and original price, discount, rating, exact number of units sold, ship-from country, free shipping, Choice badge, listing date and link, for the ship-to country and currency you choose. monitor_prices.py turns the same search into an AliExpress price tracker that returns only the price changes and new products since its previous run, or only the price drops.
Both scripts run the AliExpress Products Scraper & Price Tracker on Apify through the official apify-client package: the Actor runs in Apify's cloud and returns clean rows, so there is no browser, HTML parsing or proxy to maintain on your side. No login, no cookies, and no personal data: nothing about buyers or sellers is collected.
- Dropshipping and product research: best-selling products of a niche with exact units sold, ratings and ship-from country.
- Sourcing for a market: products shipped for free to the United Kingdom or Germany, priced in GBP or EUR.
- Price drop alerts: a daily cron job that prints the products whose price went down.
- Competitor price monitoring: prices and discounts of a product category across countries and currencies, ready for pandas or Excel.
You need Python 3.11 or later and a free Apify account (the free plan includes monthly credit).
git clone https://github.com/flatrow-data-studio/aliexpress-scraper-python.git
cd aliexpress-scraper-python
python3 -m venv .venv && source .venv/bin/activate
pip install -r requirements.txt
export APIFY_TOKEN="<your-apify-token>" # Apify Console > Settings > API & Integrations# 60 best-selling wireless earbuds shipped to the United States
python scrape.py "wireless earbuds" --sort orders --max-results 60
# LED strips shipped for free to the United Kingdom, in GBP, rated 4.5 or more
python scrape.py "led strip lights" --country GB --currency GBP --free-shipping --min-rating 4.5The script writes aliexpress_products.csv (change it with --output) and prints the five best sellers. Other options: several keywords in one run ("phone case" "screen protector"), --sort (default, orders, price_asc, price_desc), --price-max, --min-sold 1000, --choice-only for the Choice badge, and --max-charge 0.50 to stop a run once it has cost 50 cents; python scrape.py --help lists them all. Products left out by a filter are never charged.
python monitor_prices.py "wireless earbuds" --sort orders --store earbuds-dailyThe first run records the price of every product as the reference (they all come back as new). From the second run on, only the new products and the products whose price changed are returned, with previousPrice, priceDelta and priceDeltaPercent; they are printed and appended to aliexpress_price_changes.csv. Add --only-drops to get only the price drops: the first run then records the prices without returning anything. The reference lives in a key-value store of your Apify account named after --store (use one name per schedule), so the script can run from cron on any machine:
0 7 * * * cd /path/to/aliexpress-scraper-python && .venv/bin/python monitor_prices.py "wireless earbuds" --sort orders --store earbuds-daily >> tracker.log 2>&1Keep the same keywords, country, currency, sort and filters from run to run: changing them starts a new reference.
One real row from a "wireless earbuds" search shipped to the United States, key columns only:
{
"platformProductId": "3256812817428248",
"title": "2026 New Air 3【 Pro3 】 Bluetooth Wireless Earbuds With Heart Rate Monitoring, Active Noise Cancellation Headphones, Waterproof for Daily Use, For IPhone IOS Smartphone, Gaming /Sports /Fitness Earphones.",
"currency": "USD",
"price": 27.29,
"originalPrice": 64.02,
"discountPercent": 57,
"rating": 4,
"soldCount": 32,
"shippingFree": true,
"shipsFrom": "US",
"isChoice": false,
"listedAt": "2026-08-20"
}scrape.py writes these columns:
| Column | Meaning |
|---|---|
platformProductId |
AliExpress product id |
title |
Product title |
currency |
Currency of the prices |
price |
Current price |
originalPrice |
Price before the discount |
discountPercent |
Discount against originalPrice |
rating |
Average rating out of 5 |
soldCount |
Exact number of units sold |
shippingFree |
Free shipping to your ship-to country |
shipsFrom |
Ship-from country (US, CN, FR...) |
isChoice |
AliExpress Choice badge |
isSponsored |
Sponsored result |
listedAt |
Listing date |
searchQuery |
The keywords that found the product |
searchRank |
Position in the results |
url |
Product link |
The dataset of each run has more columns (image, delivery estimate, ship-to country...): add their names to COLUMNS in scrape.py. The full list is on the Actor page.
The Actor is pay-per-event: from $1.80 per 1,000 products on Apify's Free plan, lower on paid plans. Apify's free monthly credit of $5 covers about 2,777 products. You pay per product saved and nothing else; --max-results caps every keyword of a run, products left out by a filter are never charged, and in price-tracking mode only the new and changed products (or only the drops) are saved and charged.
Do I need to write a scraper or run a browser? No. The Actor runs in Apify's cloud and is kept up to date when AliExpress changes its pages; your script receives JSON rows.
Why does the sort look approximate across pages? AliExpress sorts each page of 60 products on its own: the order is exact within a page and approximate across pages. Sort the CSV by price for a strict order.
Is there personal data in the output? No. Rows contain product facts only: no seller, store or buyer, and no review text or reviewer. Use the data for analysis, respect AliExpress's terms and the law of your country, and do not republish listings.
Other Python examples by Flatrow Data Studio, all with a CSV export and a price tracker:
- amazon-scraper-python: Amazon product prices, ratings and price drops.
- ebay-scraper-python: eBay listing prices, condition and units sold.
- airbnb-scraper-python: Airbnb listings, nightly and total prices, ratings and availability.
- booking-scraper-python: Booking.com hotel prices, taxes, review scores and stars.
- google-hotels-scraper-python: Google Hotels prices, with every booking site's rate.
MIT, see LICENSE. AliExpress is a trademark of its owner; this project is not affiliated with AliExpress.