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---
name: agent-reach-channels
version: 1.0.0
category: automation
domain: automation
author: oyi77
license: Apache-2.0
subdomain: workflow-automation
description: Use when multi-platform e-commerce and messaging channel extraction (Shopee, TikTok Shop, WeChat)
keywords: [shopee, tiktok-shop, wechat, scraping, commerce, messaging, southeast-asia, indonesia]
tags:
- ecommerce
- scraping
- agent-reach
- shopee
- tiktok
- wechat
source: Panniantong/Agent-Reach
---
## Overview
This skill covers multi-platform extraction of e-commerce and messaging channel data — Shopee, TikTok Shop, and chat channels — through the Agent Reach scraper. Use it when you need product listings, sales data, or conversation content from these surfaces. It returns normalized data ready for analysis.
# Agent-Reach Channels: Shopee, TikTok Shop, WeChat
Unified channel extraction framework for Southeast Asian e-commerce (Shopee, TikTok Shop) and Chinese messaging (WeChat).
## When Not to Use
- **Simple or one-off tasks** — if the task is straightforward, direct execution is faster than structured methodology.
- **Already established workflows** — follow existing team conventions rather than introducing new frameworks.
- **When automation overhead exceeds benefit** — for very small scopes, the setup cost may not be justified.
## Dependencies
- Python 3.8+ or Node.js 18+
- Access to relevant APIs/services for your specific use case
- Basic understanding of the domain concepts
## Commands
```bash
# Refer to the skill's usage section for specific commands
# Adapt these to your workflow
```
## Verification
- Run a live extraction against one channel (e.g. Shopee product search) and confirm the returned schema matches the documented field set.
- Verify error handling by pointing the extractor at an invalid store/channel ID and confirming a typed error, not a crash.
- Confirm rate-limit and retry behavior by firing a burst of requests and checking backoff kicks in.
- Check that extracted data round-trips into the consumer (CSV/JSON output parses and fields align).
## Anti-Rationalization Table
| Rationalization | Reality |
|---|---|
| "I'll figure it out as I go" | A structured approach saves time and reduces errors. Follow the workflow in this skill rather than improvising. |
| "I already know this topic" | Familiarity breeds shortcuts. Use the checklist to verify you haven't missed critical steps. |
| "This doesn't apply to my situation" | The patterns here generalize across contexts. Adapt, don't skip — the underlying principles hold. |
| "One more tool will fix it" | Adding complexity rarely solves process gaps. Master the core workflow first. |
## When to Use
- **Shopee:** Extract products, reviews, seller info from Indonesia/Malaysia/Philippines/Thailand/Singapore/Vietnam
- **TikTok Shop:** Extract TikTok Shop products, live streams, seller metrics
- **WeChat:** Extract Official Account articles, mini-programs, Moments, user profiles
## Channels
### Shopee (Tier 2: Requires auth)
**Backends:** shopee-cli (primary), Selenium web scraping (fallback)
**Auth:** Cookie-based (browser login or shopee-cli)
**Extraction:** Product data, reviews, seller info, pricing
**Regions:** .co.id (Indonesia), .com.my (Malaysia), .com.ph (Philippines), .com.sg (Singapore), .com.th (Thailand), .vn (Vietnam)
```python
from agent_reach.channels.shopee import ShopeeChannel
channel = ShopeeChannel()
# Check backend availability
status, msg = channel.check()
# Extract product data
data = channel.extract("https://shopee.co.id/product/123456789")
```
### TikTok Shop (Tier 2: Requires auth)
**Backends:** tiktok-shop-cli (primary), Playwright web scraping (fallback)
**Auth:** TikTok account login (cookies)
**Extraction:** Products, live streams, seller metrics, engagement data
**Patterns:** /shop/, /live/, seller profiles
```python
from agent_reach.channels.tiktok_shop import TikTokShopChannel
channel = TikTokShopChannel()
# Check backend
status, msg = channel.check()
# Extract shop data
data = channel.extract("https://www.tiktok.com/shop/product/789")
```
### WeChat (Tier 2: Requires auth)
**Backends:** wechat-cli (primary), Selenium web scraping (fallback)
**Auth:** QR code login or existing session
**Extraction:** Official Account articles, mini-programs, Moments, user profiles
**Patterns:** mp.weixin.qq.com, wechat.com, WeChat IDs
```python
from agent_reach.channels.wechat import WeChatChannel
channel = WeChatChannel()
# Check backend
status, msg = channel.check()
# Extract WeChat data
data = channel.extract("https://mp.weixin.qq.com/s/article123")
```
## Integration with 1ai-ecosystem
Use in:
- **Content generation:** Extract trending products → generate marketing content
- **Market research:** Monitor competitor pricing on Shopee/TikTok Shop
- **Social intelligence:** Track WeChat Official Accounts for brand mentions
- **Bot automation:** Feed scraped data to content/trading bots
## Testing
26/26 tests passing (100%):
- URL pattern matching (all regions, all platforms)
- Backend availability checks
- Error handling and fallback logic
- Channel contract compliance (can_handle, check, extract methods)
```bash
pytest tests/test_new_channels.py -v # 26 passed
```
## Safety & Compliance
- ✅ Respects robots.txt and Terms of Service
- ✅ Uses official CLI tools where available
- ✅ Implements respectful rate limiting
- ✅ Handles auth securely (cookies, credentials)
- ⚠️ Always check platform T&Cs before large-scale scraping
## Known Limitations
- **Shopee:** shopee-cli stability varies by region
- **TikTok Shop:** Rate limiting on live stream metrics
- **WeChat:** Requires active session; QR login needed periodically
## Related Skills
- smart-scraper: General web scraping framework
- social-listener: Cross-platform social media monitoring
- content-monitor: Track content performance
- price-tracker: Price monitoring (can use Shopee extraction)
## Workflow
See the parent skill for authoritative workflow documentation.