How to Scrape Wayback Machine: Historical Web Data with Python

How to Scrape Wayback Machine: Historical Web Data with Python The Wayback Machine stores over 800 billion web pages dating back to 1996. This data is invaluable for research, competitive analysis, content recovery, and tracking website evolution. CDX API: The Power Tool The Wayback Machine provides a CDX API returning structured data about archived URLs — no scraping needed for the index. import requests, json, time from datetime import datetime from bs4 import BeautifulSoup import difflib class WaybackScraper: CDX_API = "http://web.archive.org/cdx/search/cdx" WEB_BASE = "http://web.archive.org/web" def __init__(self): self.session = requests.Session() self.session.headers.update({'User-Agent': 'WaybackResearch/1.0'}) def get_snapshots(self, url, from_date=None, to_date=None, limit=1000): params = {'url': url, 'output': 'json', 'limit': limit, 'fl': 'timestamp,original,statuscode,mimetype,length'} if from_date: params['from'] = from_date if to_date: params['to'] = to_date resp = self.