Web Scraping With Python(2023) - A Complete Guide

1

Serpdog

But, if you want to scrape websites like Google or LinkedIn at scale, you can consider using our [Google Search API](https://serpdog.io), which can handle proxy rotation and blockage on its end using its massive pool of 10M+ residential proxies.

#API Tools #Analytics #Investing 16 social mentions

2

Hacker News

Import scrapy From bs4 import BeautifulSoup Class YcombinatorSpider(scrapy.Spider): name = "ycombinator" allowed_domains = ["news.ycombinator.com"] start_urls = ["https://news.ycombinator.com/"] def start_requests(self): headers = { 'User-Agent': 'Mozilla/5.0 (Macintosh; Intel Mac OS X 10_15_7) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/100.0.4690.0 Safari/537.36' # Replace with the desired User-Agent value } for url in self.start_urls: yield scrapy.Request(url, headers=headers, callback=self.parse) def parse(self, response): soup = BeautifulSoup(response.text, 'html.parser') for el in soup.select(".athing"): obj = {} try: obj["titles"] = el.select_one(".titleline > a").text except: obj["titles"] = None yield obj If __name__ == "__main__": from scrapy.crawler import CrawlerProcess process = CrawlerProcess() process.crawl(AmazonSpider) process.start().

#Social Networks #Social News #Startups 500 social mentions