Flash sales last minutes to hours. A scraper detecting them early gives you competitive advantage.
Deal Detection
import requests
from bs4 import BeautifulSoup
import time, hashlib
from datetime import datetime
class FlashSaleScraper:
def __init__(self):
self.s = requests.Session()
self.s.headers["User-Agent"] = "Mozilla/5.0"
self.seen = set()
def slickdeals(self, min_score=10):
soup = BeautifulSoup(self.s.get("https://slickdeals.net/deals/").text, "html.parser")
deals = []
for item in soup.select("[data-deal-id]"):
t = item.select_one(".itemTitle a")
if not t: continue
p = item.select_one(".itemPrice")
sc = item.select_one(".dealScore")
deal = {"title":t.get_text(strip=True),
"url":"https://slickdeals.net"+t.get("href",""),
"price":p.get_text(strip=True) if p else "N/A",
"score":int(sc.get_text(strip=True).replace("+","")) if sc else 0}
if deal["score"] >= min_score:
did = hashlib.md5(deal["url"].encode()).hexdigest()
if did not in self.seen:
self.seen.add(did); deals.append(deal)
return deals
def woot(self):
soup = BeautifulSoup(self.s.get("https://www.woot.com").text, "html.parser")
return [{"title":h.get_text(strip=True),"source":"woot"} for h in soup.select("article h2")]
def score(self, d):
s = 0
if d.get("score",0) > 20: s += 20
elif d.get("score",0) > 10: s += 10
d["deal_score"] = s
return d
def best(self, min_s=25):
deals = [self.score(d) for d in self.slickdeals()]
time.sleep(2)
deals.extend(self.woot())
return sorted([d for d in deals if d.get("deal_score",0)>=min_s],
key=lambda x:x.get("deal_score",0), reverse=True)
def monitor(self, mins=5, rounds=12):
for _ in range(rounds):
for d in self.best()[:5]:
print(f"[{d.get('deal_score',0)}] {d['title'][:50]}")
time.sleep(mins*60)
FlashSaleScraper().monitor()
Anti-Bot
ScraperAPI handles CAPTCHAs. ThorData residential proxies. ScrapeOps tracks blocks.
Reseller Angle
Find products below market value for arbitrage. Automate to find deals while others browse manually.
Top comments (0)