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SKILL FILE

Scrape AliExpress with AI

Extract AliExpress product listings, prices, supplier data, and shipping info using Apify and Claude Code.

200M+ AliExpress users or records
400 items scraped per minute
$0.25 per 1,000 products
Download Skill File ↓
CROSS-DEPARTMENT FLOW

How scraped AliExpress data flows across your company

One scrape generates intelligence for every department — automatically

Scrape AliExpress AliExpress product listings, prices, supplier data, and shipping info
1 Configure Targets
2 Apify Actor Runs
3 Data Processed
4 Stored in CRM
Sales
  • → Identify prospects from scraped data
  • → Track competitor activity
  • → Source outreach targets
  • → Build lead lists
Marketing
  • → Content research and ideation
  • → Competitor strategy analysis
  • → Trend monitoring
  • → Audience insights
Growth
  • → Market sizing and analysis
  • → Engagement benchmarking
  • → Growth opportunity identification
  • → Platform trend tracking
CRM
  • → Data records stored
  • → Engagement metrics indexed
  • → Source attribution tagged
  • → Historical data tracked
Lead List
Research Report
Trend Analysis
Market Report
Events Tracked
AliExpress data collected
Patterns identified
Benchmarks established
Replaces Jungle Scout (AliExpress)
$49/mo $2/mo
$564/yr saved
Scrape AliExpress AliExpress product listings, prices, supplier data, and shipping info
1
Configure Targets AliExpress URLs, keywords, or filters defined
2
Apify Actor Runs Scraper extracts data — $0.25/1,000 products
3
Data Processed Records cleaned, scored, and categorized
4
Stored in CRM Intelligence pushed to Neon database with attribution
Sales
  • → Identify prospects from scraped data
  • → Track competitor activity
  • → Source outreach targets
  • → Build lead lists
Marketing
  • → Content research and ideation
  • → Competitor strategy analysis
  • → Trend monitoring
  • → Audience insights
Growth
  • → Market sizing and analysis
  • → Engagement benchmarking
  • → Growth opportunity identification
  • → Platform trend tracking
CRM
  • → Data records stored
  • → Engagement metrics indexed
  • → Source attribution tagged
  • → Historical data tracked
Content Outputs
Research Report from marketing
Lead List from sales
Trend Analysis from marketing
Market Report from growth
Everything Tracked
AliExpress data collected
Patterns identified
Benchmarks established
Replaces Jungle Scout (AliExpress)
$49/mo → $2/mo
$564/yr saved
REPLACES

Cancel your Jungle Scout (AliExpress) subscription

CANCEL THIS

Jungle Scout (AliExpress)

$49/mo
  • × Subscription fees
  • × Data locked in their dashboard
  • × Per-seat pricing
  • × Export limits
vs
BUILD THIS

SoloStack + Claude Code

$2/mo
  • ✓ Pay-per-use, no subscription
  • ✓ Your data in your repo
  • ✓ Zero vendor lock-in
  • ✓ Unlimited exports
Save $564/year
WHAT YOU GET

What this skill file teaches Claude

Drop one markdown file into your repo. Claude Code learns how to run this entire workflow.

1

Data Extraction

Pull key data points from AliExpress including profiles, content, and metadata.

2

Search & Filter

Search by keywords, categories, or specific URLs to target exactly what you need.

3

Engagement Metrics

Capture engagement signals — views, likes, shares, and comments for every item.

4

Bulk Processing

Process hundreds or thousands of records in a single run with automatic pagination.

5

Export & Integration

Output clean JSON ready for CRM import, analysis, or integration with other tools.

Apify Actor: apify/aliexpress-scraper · ~$0.25 per 1,000 products
IN ACTION

Build it with plain English

Tell Claude Code what to do. It handles the rest.

claude — solostack/
you: | 
Processing AliExpress data...

✓ Data extracted successfully
✓ 234 records collected
✓ Cleaned and deduplicated
✓ Ready for CRM import

Data saved to scrape-aliexpress-results.json
you: | 
Processing AliExpress data...

✓ Data extracted successfully
✓ 567 records collected
✓ Cleaned and deduplicated
✓ Ready for CRM import

Data saved to scrape-aliexpress-results.json
you: | 
Processing AliExpress data...

✓ Data extracted successfully
✓ 89 records collected
✓ Cleaned and deduplicated
✓ Ready for CRM import

Data saved to scrape-aliexpress-results.json
USE CASES

What you can build with this

Supplier discovery

Find suppliers for specific products with rating, order volume, and shipping time data.

Price comparison

Compare prices across multiple suppliers for the same product to optimize sourcing costs.

Product validation

Analyze order counts and reviews to validate product demand before committing to inventory.

Trend spotting

Track bestseller lists and trending products to identify emerging product categories.

IMPORTANT

Things to know

!

AliExpress prices fluctuate frequently, especially during sales events.

!

Product images may be stock photos. Verify with actual orders.

!

Shipping times are estimates and can vary significantly.

COMPLETE SKILL FILE

Get the full skill file

Everything above is 80% of the skill file. Download the complete version with full implementation details, agent prompts, and ready-to-run scripts.

FAQ

Common questions

Scraping publicly available data from AliExpress is a gray area. Most courts have upheld that public data can be accessed for research purposes. Always respect the platform's ToS, use data for internal research only, and comply with GDPR/CCPA when handling personal information.
For trend monitoring, weekly scrapes capture meaningful changes. For competitive analysis, bi-weekly to monthly is sufficient. The optimal frequency depends on how quickly data changes on the platform.
The Apify actor uses residential proxies and request throttling to minimize blocks. If you experience issues, reduce request volume, increase delays between requests, and consider running scrapes during off-peak hours.
Yes. The output is clean JSON that can be directly imported into Neon (Postgres), Airtable, or any CRM with an API. Use the TypeScript integration code in the skill file to automate the pipeline.
Apify charges ~$0.25 per 1,000 products. A typical research run costs $1-5 depending on volume. Compare that to SaaS alternatives at $49/mo — you save $564/yr saved.
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