Automated Web Scraping

Run Python Web Scrapers
on a Reliable Cloud Cron

Stop keeping your laptop open or paying $20/month for a VPS just to run a BeautifulSoup script. LiteLambda executes scheduled Python scrapers with isolated runtimes, pip dependency support, and built-in persistent storage.

scraper_and_diff.py
Packages: beautifulsoup4, requests
import requests
from bs4 import BeautifulSoup
import json

def handler(event, context):
    headers = {"User-Agent": "Mozilla/5.0 (Windows NT 10.0; Win64; x64)"}
    url = "https://news.ycombinator.com"
    
    response = requests.get(url, headers=headers, timeout=10)
    soup = BeautifulSoup(response.text, "html.parser")
    top_story = soup.select_one(".titleline > a").get_text()
    
    # context.kv stores state between executions without external databases
    last_seen = context.kv.get("last_top_story")
    
    if top_story != last_seen:
        print(f"🔥 New #1 Story: {top_story}")
        context.kv.set("last_top_story", top_story)
        # Notify your channel via webhook
    else:
        print("Story unchanged.")
        
    return {"status": "ok", "headline": top_story}

Why LiteLambda is Built for Scrapers

1

Persistent Key-Value Store

Detecting changes requires remembering what you saw last time. `context.kv` gives every script native persistent memory with zero database setup.

2

Automatic Error Alerts

Websites change DOM structures and break selectors. When your scraper throws an exception, LiteLambda immediately pings Discord, Slack, or Telegram.

3

Zero Maintenance

No OS security updates, no memory leaks from headless browsers lingering in the background, and no cron service crashes.

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