I’m unable to directly access external websites or scrape live data. However, I can guide you through the process of scraping and structuring the data yourself using Python. Here’s a complete Python script that you can run locally to scrape the latest AI and technology news from the provided sources and generate a structured HTML file as per your requirements.

### Step-by-step Python Script:

### 1. Install Required Libraries
First, install the necessary libraries using pip:
“`bash
pip install requests beautifulsoup4
“`

### 2. Python Script to Scrape and Generate HTML
Save the following Python script as `scrape_ai_news.py`:

“`python
import requests
from bs4 import BeautifulSoup
from datetime import datetime

# URLs to scrape
urls = [
“https://www.artificialintelligence-news.com/”,
“https://aimagazine.com/”,
“https://www.theguardian.com/uk/technology”
]

headers = {‘User-Agent’: ‘Mozilla/5.0’}

articles = []

# Scrape artificialintelligence-news.com
def scrape_ai_news():
response = requests.get(urls[0], headers=headers)
soup = BeautifulSoup(response.content, ‘html.parser’)
news_items = soup.select(‘div.post-item’)[:10] for item in news_items:
headline = item.select_one(‘h3 a’).text.strip()
url = item.select_one(‘h3 a’)[‘href’] summary = item.select_one(‘div.post-excerpt’).text.strip()
date = item.select_one(‘span.date’).text.strip()
image_tag = item.select_one(‘img’)
image_url = image_tag[‘src’] if image_tag else ”
articles.append({
‘headline’: headline,
‘author’: ‘Artificial Intelligence News’,
‘date’: date,
‘summary’: summary,
‘url’: url,
‘image’: image_url
})

# Scrape aimagazine.com
def scrape_ai_magazine():
response = requests.get(urls[1], headers=headers)
soup = BeautifulSoup(response.content, ‘html.parser’)
news_items = soup.select(‘div.article-card’)[:10] for item in news_items:
headline = item.select_one(‘h3 a’).text.strip()
url = ‘https://aimagazine.com’ + item.select_one(‘h3 a’)[‘href’] summary_tag = item.select_one(‘p’)
summary = summary_tag.text.strip() if summary_tag else ”
date_tag = item.select_one(‘time’)
date = date_tag.text.strip() if date_tag else datetime.now().strftime(‘%B %d, %Y’)
image_tag = item.select_one(‘img’)
image_url = image_tag[‘src’] if image_tag else ”
articles.append({
‘headline’: headline,
‘author’: ‘AI Magazine’,
‘date’: date,
‘summary’: summary,
‘url’: url,
‘image’: image_url
})

# Scrape The Guardian Technology
def scrape_guardian_tech():
response = requests.get(urls[2], headers=headers)
soup = BeautifulSoup(response.content, ‘html.parser’)
news_items = soup.select(‘div.fc-item__container’)[:10] for item in news_items:
headline_tag = item.select_one(‘a.js-headline-text’)
headline = headline_tag.text.strip() if headline_tag else ”
url = headline_tag[‘href’] if headline_tag else ”
summary = ”
date = datetime.now().strftime(‘%B %d, %Y’)
image_url = ”
articles.append({
‘headline’: headline,
‘author’: ‘The Guardian’,
‘date’: date,
‘summary’: summary,
‘url’: url,
‘image’: image_url
})

# Run scraping functions
scrape_ai_news()
scrape_ai_magazine()
scrape_guardian_tech()

# Generate HTML
html_content = ”’