Aibijia Price Comparison Platform

Skill by ara.so — Daily 2026 Skills collection.

Aibijia is a multi-platform price scraping and comparison website for AI tokens (ChatGPT Plus CDKs, API keys, etc.). It aggregates prices from various resellers/agents across platforms, helping users find the cheapest reliable source and avoid scams.

Live site: https://aibijia.org
Telegram: https://t.me/ai_bi_jia_notice

What This Project Does

Scrapes token/CDK prices from multiple card-selling platforms (卡网)
Compares prices across vendors for the same type of AI account (e.g., ChatGPT Plus, GPT Pro)
Aggregates vendor reliability info via community submissions
Exposes price differences between resellers sourcing from the same upstream

Project Structure

Since the repo is primarily a community/data project with a web frontend, the core components are:

AIbijia/
├── assets/           # Static assets (banner, images)
├── data/             # Price data / scraped results (JSON/CSV)
├── scrapers/         # Platform price scrapers
├── frontend/         # Website UI (aibijia.org)
└── SKILL.md

Installation & Setup

Clone the Repository

git clone https://github.com/ka-pi-ba-la/AIbijia.git
cd AIbijia

Install Dependencies

If Python-based scrapers:

pip install -r requirements.txt

If Node.js-based:

npm install
# or
pnpm install

Core Concepts

Token Types Tracked

Token Type	Example Price Range	Notes
ChatGPT Plus CDK	¥30–¥60	Same upstream, different markup
GPT Pro (shared)	~¥20/person	Split among multiple users
API Keys (各模型)	Varies	Per-token pricing
Claude / Gemini	Varies	Scraped from resellers

Price Scraping Pattern

import requests
from bs4 import BeautifulSoup
import json
from datetime import datetime

class TokenPriceScraper:
    """
    Base scraper for AI token price platforms.
    Each platform subclasses this with custom parsing.
    """
    
    def __init__(self, platform_name: str, base_url: str):
        self.platform_name = platform_name
        self.base_url = base_url
        self.session = requests.Session()
        self.session.headers.update({
            "User-Agent": "Mozilla/5.0 (compatible; Aibijia/1.0)"
        })
    
    def fetch_page(self, url: str) -> BeautifulSoup:
        resp = self.session.get(url, timeout=10)
        resp.raise_for_status()
        return BeautifulSoup(resp.text, "html.parser")
    
    def parse_prices(self, soup: BeautifulSoup) -> list[dict]:
        """Override in subclass to extract price data."""
        raise NotImplementedError
    
    def scrape(self) -> list[dict]:
        soup = self.fetch_page(self.base_url)
        prices = self.parse_prices(soup)
        
        # Annotate with metadata
        for item in prices:
            item["platform"] = self.platform_name
            item["scraped_at"] = datetime.utcnow().isoformat()
        
        return prices


class KawangScraper(TokenPriceScraper):
    """Example scraper for a 卡网 (card platform)."""
    
    def parse_prices(self, soup: BeautifulSoup) -> list[dict]:
        results = []
        
        # Adapt selectors to target platform's HTML structure
        for card in soup.select(".product-card"):
            name = card.select_one(".product-name")
            price = card.select_one(".product-price")
            stock = card.select_one(".product-stock")
            
            if name and price:
                results.append({
                    "name": name.get_text(strip=True),
                    "price_cny": float(
                        price.get_text(strip=True)
                             .replace("¥", "")
                             .replace(",", "")
                    ),
                    "in_stock": stock and "有货" in stock.get_text(),
                })
        
        return results

Aggregating Prices Across Platforms

import asyncio
import aiohttp
from dataclasses import dataclass

@dataclass
class PriceListing:
    token_type: str
    platform: str
    price_cny: float
    in_stock: bool
    url: str
    scraped_at: str

async def aggregate_all_platforms(platforms: list[TokenPriceScraper]) -> list[PriceListing]:
    """
    Run all scrapers concurrently and merge results.
    """
    results = []
    
    async def run_scraper(scraper):
        loop = asyncio.get_event_loop()
        # Run sync scraper in thread pool
        data = await loop.run_in_executor(None, scraper.scrape)
        return data
    
    tasks = [run_scraper(p) for p in platforms]
    all_data = await asyncio.gather(*tasks, return_exceptions=True)
    
    for platform_data in all_data:
        if isinstance(platform_data, Exception):
            print(f"Scraper error: {platform_data}")
            continue
        results.extend(platform_data)
    
    return results


def find_cheapest(listings: list[PriceListing], token_type: str) -> list[PriceListing]:
    """Filter and sort by price for a specific token type."""
    filtered = [
        l for l in listings
        if token_type.lower() in l.token_type.lower()
        and l.in_stock
    ]
    return sorted(filtered, key=lambda x: x.price_cny)


# Usage
async def main():
    platforms = [
        KawangScraper("platform_a", "https://example-card-site-a.com/chatgpt"),
        KawangScraper("platform_b", "https://example-card-site-b.com/chatgpt"),
    ]
    
    all_listings = await aggregate_all_platforms(platforms)
    cheapest = find_cheapest(all_listings, "ChatGPT Plus")
    
    print("Cheapest ChatGPT Plus CDKs:")
    for listing in cheapest[:5]:
        print(f"  ¥{listing.price_cny} — {listing.platform}")

asyncio.run(main())

Vendor Submission API

The site exposes a submission endpoint for community-sourced vendors:

import requests
import os

AIBIJIA_API = "https://aibijia.org/api"  # hypothetical endpoint

def submit_vendor(vendor_info: dict) -> dict:
    """
    Submit a new vendor/price source for review.
    
    vendor_info keys:
      - name: str          Vendor/platform name
      - url: str           Purchase URL
      - token_type: str    e.g. "ChatGPT Plus CDK"
      - price_cny: float   Current price in RMB
      - notes: str         Optional reliability notes
    """
    resp = requests.post(
        f"{AIBIJIA_API}/submit",
        json=vendor_info,
        headers={
            "Content-Type": "application/json",
            # Use env var if auth is required:
            "Authorization": f"Bearer {os.environ.get('AIBIJIA_API_KEY', '')}",
        },
        timeout=10,
    )
    resp.raise_for_status()
    return resp.json()


# Example usage
result = submit_vendor({
    "name": "某卡网",
    "url": "https://example-card-site.com/gpt-plus",
    "token_type": "ChatGPT Plus CDK",
    "price_cny": 32.0,
    "notes": "24h售后，支持补货",
})
print(result)

Data Storage Pattern

import json
import os
from pathlib import Path
from datetime import datetime

DATA_DIR = Path("./data")

def save_price_snapshot(listings: list[dict], token_type: str):
    """Save a timestamped price snapshot to data/."""
    DATA_DIR.mkdir(exist_ok=True)
    
    date_str = datetime.utcnow().strftime("%Y-%m-%d")
    filename = DATA_DIR / f"{token_type.replace(' ', '_')}_{date_str}.json"
    
    snapshot = {
        "token_type": token_type,
        "captured_at": datetime.utcnow().isoformat(),
        "count": len(listings),
        "listings": listings,
    }
    
    with open(filename, "w", encoding="utf-8") as f:
        json.dump(snapshot, f, ensure_ascii=False, indent=2)
    
    print(f"Saved {len(listings)} listings to {filename}")


def load_latest_snapshot(token_type: str) -> dict | None:
    """Load the most recent snapshot for a token type."""
    pattern = f"{token_type.replace(' ', '_')}_*.json"
    files = sorted(DATA_DIR.glob(pattern), reverse=True)
    
    if not files:
        return None
    
    with open(files[0], encoding="utf-8") as f:
        return json.load(f)

Community Reporting (Avoid Scams)

Post scam reports as GitHub Issues or submit to the repo:

## 避雷报告模板

**平台名称：** xxx卡网
**购买时间：** 2026-04-28
**商品：** ChatGPT Plus CDK
**价格：** ¥35
**问题：** CDK已失效，无法联系售后
**证据：** [截图]
**建议：** 避免购买

Configuration

# config.py — Aibijia scraper configuration

import os

CONFIG = {
    # Scraping behavior
    "request_timeout": int(os.environ.get("SCRAPE_TIMEOUT", "10")),
    "rate_limit_seconds": float(os.environ.get("SCRAPE_RATE_LIMIT", "2.0")),
    "max_retries": int(os.environ.get("SCRAPE_MAX_RETRIES", "3")),
    
    # Proxy (optional, for bot detection avoidance)
    "proxy": os.environ.get("HTTP_PROXY", None),
    
    # Data output
    "data_dir": os.environ.get("DATA_DIR", "./data"),
    
    # Notifications (Telegram)
    "telegram_bot_token": os.environ.get("TELEGRAM_BOT_TOKEN"),
    "telegram_channel_id": os.environ.get("TELEGRAM_CHANNEL_ID"),
    
    # Price alert threshold (alert if price drops below X CNY)
    "alert_price_threshold": float(os.environ.get("ALERT_PRICE_CNY", "30.0")),
}

Environment Variables

# .env (never commit this file)
SCRAPE_TIMEOUT=15
SCRAPE_RATE_LIMIT=3.0
HTTP_PROXY=http://proxy.example.com:8080
DATA_DIR=./data
TELEGRAM_BOT_TOKEN=your_bot_token_here
TELEGRAM_CHANNEL_ID=@ai_bi_jia_notice
ALERT_PRICE_CNY=28.0

Telegram Price Alert Bot

import os
import asyncio
from telegram import Bot

async def send_price_alert(listings: list[dict], threshold: float):
    """
    Send Telegram alert when ChatGPT Plus CDK drops below threshold price.
    """
    bot = Bot(token=os.environ["TELEGRAM_BOT_TOKEN"])
    channel = os.environ["TELEGRAM_CHANNEL_ID"]
    
    cheap = [l for l in listings if l["price_cny"] <= threshold and l["in_stock"]]
    
    if not cheap:
        return
    
    lines = [f"🔥 低价预警！ChatGPT Plus CDK ≤ ¥{threshold}\n"]
    for l in cheap[:5]:
        lines.append(f"• ¥{l['price_cny']} — {l['platform']}")
    
    await bot.send_message(
        chat_id=channel,
        text="\n".join(lines),
        disable_web_page_preview=True,
    )

asyncio.run(send_price_alert(all_listings, threshold=30.0))

Common Patterns

Daily Cron Job (GitHub Actions)

# .github/workflows/scrape.yml
name: Daily Price Scrape

on:
  schedule:
    - cron: "0 2 * * *"   # 2 AM UTC daily
  workflow_dispatch:

jobs:
  scrape:
    runs-on: ubuntu-latest
    steps:
      - uses: actions/checkout@v4
      - uses: actions/setup-python@v5
        with:
          python-version: "3.12"
      - run: pip install -r requirements.txt
      - run: python scrapers/run_all.py
        env:
          TELEGRAM_BOT_TOKEN: ${{ secrets.TELEGRAM_BOT_TOKEN }}
          TELEGRAM_CHANNEL_ID: ${{ secrets.TELEGRAM_CHANNEL_ID }}
      - uses: actions/upload-artifact@v4
        with:
          name: price-data
          path: data/

Troubleshooting

Problem	Cause	Fix
Scraper returns empty results	Target site changed HTML structure	Update CSS selectors in `parse_prices()`
403 / blocked requests	Bot detection on target platform	Add proxy via `HTTP_PROXY` env var or rotate User-Agent
Prices stale	Cron not running	Check GitHub Actions logs; run `python scrapers/run_all.py` manually
Telegram alerts not sending	Wrong token/channel	Verify `TELEGRAM_BOT_TOKEN` and `TELEGRAM_CHANNEL_ID` env vars
CDK already used / invalid	Upstream fraud	Report in repo issues with evidence; avoid that vendor

Anti-Bot Countermeasures

import time
import random

def polite_get(session, url: str, min_delay=1.5, max_delay=4.0) -> str:
    """Add random delay between requests to avoid rate limiting."""
    time.sleep(random.uniform(min_delay, max_delay))
    resp = session.get(url, timeout=10)
    resp.raise_for_status()
    return resp.text

Contributing Price Sources

Fork the repo
Add your vendor/source to data/sources.json
Open a PR with evidence of reliability (screenshots, purchase history)
Community reviews and merges

// data/sources.json entry format
{
  "id": "vendor_slug",
  "name": "平台名称",
  "url": "https://example-card-site.com",
  "token_types": ["ChatGPT Plus CDK", "Claude API"],
  "verified": false,
  "submitted_by": "github_username",
  "notes": "24h售后，微信群支持"
}

aibijia-price-comparison