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Update app.py
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app.py
CHANGED
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[@dwancin on HuggingFace](https://huggingface.co/spaces/dwancin/web-scraping)
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'''
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import os,re, requests, uuid, zipfile, hashlib, shutil
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import gradio as gr
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from bs4 import BeautifulSoup
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try:
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response.raise_for_status()
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# Function to find requests errors
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def checker(url, media_types):
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if not url:
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raise gr.Error("URL cannot be empty.")
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if not url.startswith("https://"):
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raise gr.Error("The URL must begin with https://")
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if not media_types:
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raise gr.Error("At least one media type must be selected.")
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try:
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)
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media_types = gr.CheckboxGroup(
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["Images", "Text"],
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value="Images",
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label="Media types",
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)
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submit_button = gr.Button(
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"Submit",
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variant="primary",
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interactive=True,
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)
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with gr.Column(scale=2):
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output_files = gr.Files(
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label="Output",
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elem_id="file-list",
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size="lg",
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show_label=False,
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)
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submit_button.click(
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checker,
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inputs=[url_name, media_types],
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outputs=[output_files],
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)
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app.launch()
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from flask import Flask, jsonify, request
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import requests
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from bs4 import BeautifulSoup
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import os
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import re
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import urllib.parse
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import time
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import random
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import base64
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from io import BytesIO
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from urllib.parse import urlparse
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import html2text
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app = Flask(__name__)
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def search_images(query, num_images=5):
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# Headers to mimic a browser request
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headers = {
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'User-Agent': 'Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/91.0.4472.124 Safari/537.36',
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'Accept': 'text/html,application/xhtml+xml,application/xml;q=0.9,*/*;q=0.8',
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'Accept-Language': 'en-US,en;q=0.5',
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'Accept-Encoding': 'gzip, deflate',
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'DNT': '1',
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'Connection': 'keep-alive',
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}
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# Format the query for URL
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formatted_query = urllib.parse.quote(query)
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# Google Images URL
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url = f"https://www.google.com/search?q={formatted_query}&tbm=isch&safe=active"
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try:
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# Get the HTML content
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response = requests.get(url, headers=headers, timeout=30)
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response.raise_for_status()
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# Find all image URLs using regex
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image_urls = re.findall(r'https?://[^"\']*?(?:jpg|jpeg|png|gif)', response.text)
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# Remove duplicates while preserving order
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image_urls = list(dict.fromkeys(image_urls))
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# Store results
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results = []
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downloaded = 0
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for img_url in image_urls:
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if downloaded >= num_images:
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break
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try:
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# Skip small thumbnails and icons
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if 'gstatic.com' in img_url or 'google.com' in img_url:
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continue
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# Download image
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img_response = requests.get(img_url, headers=headers, timeout=10)
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img_response.raise_for_status()
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# Check if the response is actually an image
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content_type = img_response.headers.get('Content-Type', '')
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if not content_type.startswith('image/'):
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continue
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# Convert image to base64
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image_base64 = base64.b64encode(img_response.content).decode('utf-8')
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# Add to results
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results.append({
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'image_url': img_url,
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'base64_data': f"data:{content_type};base64,{image_base64}"
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})
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downloaded += 1
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# Add a random delay between downloads
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time.sleep(random.uniform(0.5, 1))
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except Exception as e:
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print(f"Error downloading image: {str(e)}")
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continue
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return results
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except Exception as e:
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print(f"An error occurred: {str(e)}")
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return []
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@app.route('/search_images', methods=['GET'])
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def api_search_images():
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try:
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# Get query parameters
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query = request.args.get('query', '')
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num_images = int(request.args.get('num_images', 5))
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if not query:
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return jsonify({'error': 'Query parameter is required'}), 400
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if num_images < 1 or num_images > 20:
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return jsonify({'error': 'Number of images must be between 1 and 20'}), 400
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# Search for images
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results = search_images(query, num_images)
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return jsonify({
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'success': True,
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'query': query,
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'results': results
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})
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except Exception as e:
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return jsonify({
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'success': False,
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'error': str(e)
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}), 500
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def get_domain(url):
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"""Extract domain from URL"""
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parsed_uri = urlparse(url)
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return parsed_uri.netloc
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def clean_text(text):
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"""Clean scraped text"""
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# Remove extra whitespace
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text = re.sub(r'\s+', ' ', text)
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# Remove special characters
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text = re.sub(r'[^\w\s.,!?-]', '', text)
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return text.strip()
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def scrape_website(url, headers):
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"""Scrape content from a single website"""
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try:
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response = requests.get(url, headers=headers, timeout=10)
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response.raise_for_status()
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soup = BeautifulSoup(response.text, 'html.parser')
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# Remove unwanted elements
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for element in soup(['script', 'style', 'nav', 'footer', 'iframe']):
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element.decompose()
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# Convert HTML to text
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h = html2text.HTML2Text()
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h.ignore_links = True
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h.ignore_images = True
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text = h.handle(str(soup))
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# Clean the text
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text = clean_text(text)
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# Get meta description
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meta_desc = ''
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meta_tag = soup.find('meta', attrs={'name': 'description'}) or soup.find('meta', attrs={'property': 'og:description'})
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if meta_tag:
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meta_desc = meta_tag.get('content', '')
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# Get title
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title = soup.title.string if soup.title else ''
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return {
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'title': clean_text(title),
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'meta_description': clean_text(meta_desc),
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'content': text[:1000], # Limit content length
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'url': url
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}
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except Exception as e:
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print(f"Error scraping {url}: {str(e)}")
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return None
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def search_and_scrape(query, num_results=5):
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headers = {
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'User-Agent': 'Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/91.0.4472.124 Safari/537.36',
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'Accept': 'text/html,application/xhtml+xml,application/xml;q=0.9,*/*;q=0.8',
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'Accept-Language': 'en-US,en;q=0.5',
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'Accept-Encoding': 'gzip, deflate',
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'DNT': '1',
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'Connection': 'keep-alive',
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}
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# Format the query for URL
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formatted_query = urllib.parse.quote(query)
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# Google Search URL
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url = f"https://www.google.com/search?q={formatted_query}&num={num_results}"
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try:
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# Get Google search results
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response = requests.get(url, headers=headers, timeout=30)
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response.raise_for_status()
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soup = BeautifulSoup(response.text, 'html.parser')
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# Find all search result divs
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search_results = []
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result_divs = soup.find_all('div', class_='g')
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for div in result_divs:
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# Find the link
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link = div.find('a')
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if not link:
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continue
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href = link.get('href', '')
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# Skip if not a valid URL or if it's a Google-related URL
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if not href.startswith('http') or 'google.' in href:
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continue
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# Add random delay between requests
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time.sleep(random.uniform(1, 2))
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# Scrape the website
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site_data = scrape_website(href, headers)
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if site_data:
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search_results.append(site_data)
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if len(search_results) >= num_results:
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break
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return search_results
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except Exception as e:
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print(f"An error occurred: {str(e)}")
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return []
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@app.route('/scrape_sites', methods=['GET'])
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def api_scrape_sites():
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try:
|
| 231 |
+
# Get query parameters
|
| 232 |
+
query = request.args.get('query', '')
|
| 233 |
+
num_results = int(request.args.get('num_results', 5))
|
| 234 |
+
|
| 235 |
+
if not query:
|
| 236 |
+
return jsonify({'error': 'Query parameter is required'}), 400
|
| 237 |
+
|
| 238 |
+
if num_results < 1 or num_results > 10:
|
| 239 |
+
return jsonify({'error': 'Number of results must be between 1 and 10'}), 400
|
| 240 |
+
|
| 241 |
+
# Search and scrape sites
|
| 242 |
+
results = search_and_scrape(query, num_results)
|
| 243 |
+
|
| 244 |
+
return jsonify({
|
| 245 |
+
'success': True,
|
| 246 |
+
'query': query,
|
| 247 |
+
'results': results
|
| 248 |
+
})
|
| 249 |
+
|
| 250 |
+
except Exception as e:
|
| 251 |
+
return jsonify({
|
| 252 |
+
'success': False,
|
| 253 |
+
'error': str(e)
|
| 254 |
+
}), 500
|
| 255 |
+
|
| 256 |
+
if __name__ == "__main__":
|
| 257 |
+
app.run(debug=True, port=5000)
|
| 258 |
+
|
| 259 |
+
|
| 260 |
+
|
| 261 |
+
|
| 262 |
+
|
| 263 |
+
|
| 264 |
+
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