A Review of Web Data Extractors: Techniques, Tools, and Applications
import requests from bs4 import BeautifulSoup import time web data extractor
headers = "User-Agent": "Mozilla/5.0 (Research Bot)" url = "https://books.toscrape.com/" resp = requests.get(url, headers=headers) soup = BeautifulSoup(resp.text, "html.parser") A Review of Web Data Extractors: Techniques, Tools,
Web data extractors have numerous applications in various fields, including: headers=headers) soup = BeautifulSoup(resp.text
| Tool | Language | Ease of use | Scalability | | --- | --- | --- | --- | | Beautiful Soup | Python | Easy | Medium | | Scrapy | Python | Medium | High | | Apache Nutch | Java | Hard | High | | Import.io | Cloud-based | Easy | Medium |