ecommerce-full-pipeline

Automates cross-border e-commerce pipelines from 1688 scraping to listing, promotion, and video generation.

6.0k|578|Updated Feb 2, 2026
One-click install
npx skills add https://github.com/anbeime/skill --skill ecommerce-full-pipeline
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: ecommerce-full-pipeline
Source: https://github.com/anbeime/skill/tree/main/skills/ecommerce-full-pipeline/ecommerce-full-pipeline
Command: npx skills add https://github.com/anbeime/skill --skill ecommerce-full-pipeline

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires requests, beautifulsoup4, lxml, pyyaml, pytrends, moviepy, pillow.

What problem does it solve?

Running a cross-border e-commerce or second-hand bargain-hunting business involves tedious manual work: finding trending products, scraping supplier listings from 1688, cleaning and translating data, creating listings for multiple platforms, writing ad copy, and producing promotional videos. This Skill automates that entire chain end to end.

Core Features & Use Cases

  • 1688 Scraping & Data Cleaning: Search and scrape product details and images from 1688, then auto-translate titles, normalize prices to USD, compute profit margins, and filter by supplier score.
  • Multi-Platform Publishing & Promotion: Generate listing templates for WeChat Store, Shopify, and TikTok (CSV/Excel/JSON), plus keyword research, competitor analysis, ad copy, and budget plans.
  • Trend Discovery & Xianyu Bargain Hunting: Mine trending products via Google Trends with a 4-dimension scoring model, and search Xianyu second-hand listings with brand recognition, fake-spec filtering, and a 6-dimension bargain score.
  • Video & Fulfillment: Generate vertical 9:16 promotional videos with MoviePy Ken Burns effects, and place drop-shipping orders on 1688 via Playwright browser automation.
  • Use Case: Run auto-pipeline with seed keywords like "收纳盒,蓝牙耳机" to automatically discover trending products, scrape suppliers, clean data, generate listings, write ad copy, and produce promo videos in one command.

Quick Start

Ask the AI to run the full e-commerce pipeline with seed keywords such as Bluetooth earphones to discover trending products, scrape 1688 suppliers, and generate listings and promo videos.

Frequently Asked Questions about ecommerce-full-pipeline

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I scrape products from 1688 with Python?

Use the scrape command with a keyword, page count, and optional detail and image-download flags. The scraper uses requests and BeautifulSoup with anti-crawl handling, and falls back to mock data when the network is unavailable.

How to automate product listing on Shopify and TikTok?

Run the publish command on cleaned product data to generate listing templates for WeChat Store, Shopify, and TikTok. It exports CSV, Excel, or JSON files with translated English titles and USD-normalized prices.

What dependencies are required to run this e-commerce pipeline?

You need Python 3.8+ with requests, beautifulsoup4, lxml, pyyaml, pytrends, moviepy, and pillow installed. Video generation additionally requires ffmpeg, and 1688 or Xianyu scraping works best in a logged-in browser session.

Does the Xianyu bargain hunting filter out fake listings?

Yes, it includes brand recognition for 30+ brands, fake-spec detection for suspicious low-price high-spec listings, and blacklist filtering for known mislabeled brands and bulk sellers. However, filtering cannot eliminate all fakes, so manual verification is still advised.

Why does 1688 scraping sometimes return mock data?

1688 has anti-crawling mechanisms, so when requests fail or the network is unavailable the tool falls back to mock data for development and debugging. Set request intervals of 1.5-3.5 seconds and use a logged-in browser session to improve success rates.

What are the limitations of the auto-generated ad copy and videos?

Generated keywords and ad copy are AI-produced references that require human review before actual ad spending. Videos are template-based 9:16 clips with Ken Burns effects from product images, not custom-edited productions.