How to Build a Startup Failure Post-Mortem Aggregator

Learning from failure is cheaper than experiencing it. Hundreds of founders publish post-mortems when their startups die -- scraping and analyzing these creates a valuable knowledge base for entrepreneurs. Data Sources Startup post-mortems appear on personal blogs, Medium, Hacker News, and dedicated sites. We'll build scrapers that collect and analyze them. Post-Mortem Scraper pip install requests beautifulsoup4 textblob pandas import requests from bs4 import BeautifulSoup from textblob import TextBlob import pandas as pd class PostMortemScraper : def __init__ ( self , api_key ): self . api_key = api_key def fetch_page ( self , url ): proxy = f " http://api.scraperapi.com?api_key= { self . api_key } &url= { url } " return requests . get ( proxy , timeout = 30 ) def scrape_hn_postmortems ( self , pages = 3 ): posts = [] for page in range ( 1 , pages + 1 ): url = f " https://hn.algolia.com/api/v1/search?query=post-mortem+startup&tags=story&page= { page } " resp = requests . get ( url , t