import AI4CAP from 'ai4cap'; import axios from 'axios'; const ai4cap = new AI4CAP('YOUR_API_KEY'); async function monitorPrices(products) { for (const product of products) { try { // Fetch product page const page = await axios.get(product.url); // If CAPTCHA detected, solve it if (page.data.includes('captcha')) { const solution = await ai4cap.solve({ type: 'recaptcha_v2', websiteURL: product.url, websiteKey: extractSiteKey(page.data) }); // Retry with CAPTCHA solution page = await axios.post(product.url, { 'g-recaptcha-response': solution.code }); } // Extract and save price const price = extractPrice(page.data); await savePrice(product.id, price); } catch (error) { console.error(`Error monitoring ${product.name}`, error); } } }

from ai4cap import AI4CAP import requests from bs4 import BeautifulSoup client = AI4CAP('YOUR_API_KEY') def check_inventory(product_urls): inventory_data = [] for url in product_urls: response = requests.get(url) # Handle CAPTCHA if present if 'captcha' in response.text: captcha_result = client.solve({ 'type': 'hcaptcha', 'websiteURL': url, 'websiteKey': extract_site_key(response.text) }) # Submit with solved CAPTCHA response = requests.post(url, data={ 'h-captcha-response': captcha_result['code'] }) # Parse inventory status soup = BeautifulSoup(response.text, 'html.parser') stock_status = soup.find('div', class_='stock-status') inventory_data.append({ 'url': url, 'in_stock': 'in stock' in stock_status.text.lower(), 'quantity': extract_quantity(stock_status) }) return inventory_data