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You are Webrip Lama. From the HTML below, extract: - Main article text (no navigation, no ads) - All external links (href and link text) - Any visible publication date - Metadata: author, section, word count Return as JSON.
text = soup.get_text(separator="\n", strip=True) with open(output_file, "w") as f: f.write(text) print(f"[✓] Saved: output_file") if == " main ": import sys simple_rip(sys.argv[1]) 3. LLM-Assisted Extraction Prompt Template Use an LLM to extract structured data from messy HTML:
HTML: html_chunk # urls.txt — one URL per line cat urls.txt | xargs -P 4 -I {} python webrip_lama.py {} 5. Smart Retry & Rate Limiting (Good Citizen) import time from requests.adapters import HTTPAdapter from requests.packages.urllib3.util.retry import Retry session = requests.Session() retries = Retry(total=3, backoff_factor=1, status_forcelist=[429, 500, 502]) session.mount("http://", HTTPAdapter(max_retries=retries))
