Prompt
How can I scrape FAQ content from websites?
Latest observation
To scrape FAQ content from websites, the basic idea is:
- Fetch the page HTML
- Find the FAQ section in the markup
- Extract the question/answer pairs
- Clean and store the data
A simple Python approach uses requests + BeautifulSoup:
import requests
from bs4 import BeautifulSoup
url = "https://example.com/faq"
html = requests.get(url, timeout=10).text
soup = BeautifulSoup(html, "html.parser")
# Example: look for common FAQ structures
faq_items = []
for item in soup.select(".faq-item"):
question = item.select_one(".faq-question")
answer = item.select_one(".faq-answer")
if question and answer:
faq_items.append({
"question": question.get_text(strip=True),
"answer": answer.get_text(" ", strip=True)
})
for faq in faq_items:
print(faq["question"])
print(faq["answer"])
print("-" * 40)
Common FAQ patterns to look for
FAQ content is often structured as:
div.faq-itemh3/buttonfor questionsdiv,p, orsectionfor answers- accordion components
- JSON-LD structured data (
FAQPageschema)
Check for structured data first
Some sites include FAQ data in schema.org JSON-LD, which is often easier and more reliable to extract:
import requests
from bs4 import BeautifulSoup
import json
url = "https://example.com/faq"
soup = BeautifulSoup(requests.get(url).text, "html.parser")
for script in soup.find_all("script", type="application/ld+json"):
try:
data = json.loads(script.string)
if isinstance(data, dict) and data.get("@type") == "FAQPage":
for main in data.get("mainEntity", []):
q = main.get("name")
a = main.get("acceptedAnswer", {}).get("text")
print(q, a)
except Exception:
pass
If the site uses JavaScript
If the FAQ content loads dynamically, requests may not see it. In that case use a browser automation tool like:
- Playwright
- Selenium
Example with Playwright:
from playwright.sync_api import sync_playwright
from bs4 import BeautifulSoup
with sync_playwright() as p:
browser = p.chromium.launch(headless=True)
page = browser.new_page()
page.goto("https://example.com/faq", wait_until="networkidle")
soup = BeautifulSoup(page.content(), "html.parser")
browser.close()
Tips
- Inspect the page with browser dev tools to find selectors.
- Respect
robots.txt, terms of service, and rate limits. - Add delays and retries when scraping many pages.
- Normalize whitespace and HTML entities in extracted text.
If you want, I can also show you:
- a generic FAQ scraper that auto-detects common patterns,
- a Playwright version for JavaScript-heavy sites, or
- how to scrape FAQ data from schema.org JSON-LD automatically.
Brands
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How did Obsurfable measure this prompt?
Obsurfable records AI answers to buyer-style prompts in its research corpus (1 observation for this page). Metrics are distributions over observations, not a single static ranking.
Which AI systems does Obsurfable collect answers from?
OpenAI, ChatGPT, Google, Gemini, Google AI Mode, Anthropic, Claude, Perplexity, Grok, DeepSeek, Mistral, Copilot, and Meta AI.