FASHION MARKET INTEL

# daily_price_scraper.py import requests, sqlite3, schedule, time from bs4 import BeautifulSoup from datetime import date def scrape_asos_prices(): # Fetch ASOS new arrivals url = "https://www.asos.com/api/product/search/v2" params = {"channel":"desktop-web", "country":"GB", "currency":"GBP", "limit":50} r = requests.get(url, params=params) products = r.json()["products"] conn = sqlite3.connect("uk_fashion_market.db") for p in products: conn.execute("""INSERT INTO daily_prices (date, brand, product, price_gbp, discount_pct) VALUES (?,?,?,?,?)""", (date.today(), p["brandName"], p["name"], p["price"]["current"]["value"], p.get("discount", 0))) conn.commit() # Schedule: every day at 8am schedule.every().day.at("08:00").do(scrape_asos_prices) while True: schedule.run_pending(); time.sleep(60)

# trends_collector.py from pytrends.request import TrendReq import sqlite3 from datetime import date def collect_google_trends(): pytrends = TrendReq(hl="en-GB", geo="GB") keywords = [ "sustainable fashion UK", "athleisure UK", "designer sneakers UK", "luxury handbags UK", "eco clothing UK" ] pytrends.build_payload(keywords, timeframe="now 7-d") df = pytrends.interest_over_time() conn = sqlite3.connect("uk_fashion_market.db") for kw in keywords: score = int(df[kw].mean()) conn.execute("""INSERT INTO daily_trends (date, keyword, google_score, segment) VALUES (?,?,?,?)""", (date.today(), kw, score, "Auto-detected")) conn.commit()

# social_monitor.py import praw, sqlite3, re from datetime import date def monitor_reddit(): reddit = praw.Reddit( client_id="YOUR_ID", client_secret="YOUR_SECRET", user_agent="FashionMonitor/1.0" ) keywords = ["sustainable fashion","sneakers", "athleisure","luxury"] conn = sqlite3.connect("uk_fashion_market.db") for kw in keywords: posts = reddit.subreddit("ukfashion+streetwear") mentions = sum(1 for p in posts.search(kw, limit=100)) conn.execute("""INSERT INTO social_buzz (date, platform, keyword, mention_count, sentiment) VALUES (?,?,?,?,?)""", (date.today(), "Reddit", kw, mentions, "Positive")) conn.commit()

# weekly_report.py import sqlite3, smtplib from email.mime.text import MIMEText def send_weekly_report(): conn = sqlite3.connect("uk_fashion_market.db") cur = conn.cursor() # Get top trends this week cur.execute("""SELECT keyword, AVG(google_score) FROM daily_trends WHERE date >= date('now','-7d') GROUP BY keyword ORDER BY 2 DESC""") trends = cur.fetchall() # Build HTML report body = "<h2>UK Fashion Weekly Report</h2>" for t in trends: body += f"<p>{t[0]}: score {t[1]:.0f}</p>" msg = MIMEText(body, 'html') msg['Subject'] = 'UK Fashion Market Weekly' # Send via SMTP...