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Parent(s):
print output
Browse files- .gitignore +1 -0
- scrape-content.ipynb +413 -0
.gitignore
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scrape-content.ipynb
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{
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"cells": [
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{
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"metadata": {
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5 |
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"ExecuteTime": {
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6 |
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"end_time": "2024-10-25T10:32:47.963356Z",
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"start_time": "2024-10-25T10:32:47.950533Z"
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}
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},
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"cell_type": "code",
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"source": [
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"from fake_headers import Headers\n",
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"\n",
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"headers = Headers(headers=True).generate()\n",
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"headers"
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],
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"id": "c60b4d771c2e0a21",
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"outputs": [
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{
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"data": {
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"text/plain": [
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"{'Accept': '*/*',\n",
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" 'Connection': 'keep-alive',\n",
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" 'User-Agent': 'Mozilla/5.0 (Macintosh; Intel Mac OS X 10_11_6; rv:61.0) Gecko/20100101 Firefox/61.0',\n",
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" 'Cache-Control': 'max-age=0',\n",
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26 |
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" 'Upgrade-Insecure-Requests': '1',\n",
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27 |
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" 'Referer': 'https://google.com'}"
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]
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},
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"execution_count": 9,
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"metadata": {},
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"output_type": "execute_result"
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}
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],
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"execution_count": 9
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},
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{
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"metadata": {
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"ExecuteTime": {
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40 |
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"end_time": "2024-10-25T10:32:49.821005Z",
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"start_time": "2024-10-25T10:32:49.798988Z"
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}
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},
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"cell_type": "code",
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"source": [
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"from selenium.webdriver.chrome.options import Options\n",
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"from selenium import webdriver\n",
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48 |
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"from selenium.webdriver.support.ui import WebDriverWait\n",
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49 |
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"from selenium.webdriver.support import expected_conditions as EC\n",
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50 |
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"from selenium.webdriver.common.by import By\n",
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51 |
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"from bs4 import BeautifulSoup\n",
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52 |
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"import time\n",
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"\n",
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"\n",
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55 |
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"def scroll_and_wait(driver, scroll_pause_time=2):\n",
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56 |
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" \"\"\"\n",
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57 |
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" Scroll the page gradually and wait for images to load\n",
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58 |
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" \"\"\"\n",
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59 |
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" # Get scroll height\n",
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60 |
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" last_height = driver.execute_script(\"return document.body.scrollHeight\")\n",
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"\n",
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62 |
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" while True:\n",
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63 |
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" # Scroll down gradually\n",
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64 |
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" for i in range(10):\n",
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65 |
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" driver.execute_script(f\"window.scrollTo(0, {(i + 1) * (last_height / 10)});\")\n",
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66 |
+
" time.sleep(0.5) # Short pause between each scroll step\n",
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"\n",
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68 |
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" # Wait for new images to load\n",
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69 |
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" time.sleep(scroll_pause_time)\n",
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"\n",
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71 |
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" # Calculate new scroll height and compare with last scroll height\n",
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72 |
+
" new_height = driver.execute_script(\"return document.body.scrollHeight\")\n",
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73 |
+
" if new_height == last_height:\n",
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74 |
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" break\n",
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75 |
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" last_height = new_height\n",
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76 |
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"\n",
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77 |
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"\n",
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78 |
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"def wait_for_images(driver, timeout=10):\n",
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79 |
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" \"\"\"\n",
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80 |
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" Wait for images to load and become visible\n",
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81 |
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" \"\"\"\n",
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82 |
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" try:\n",
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83 |
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" # Wait for all image elements to be present\n",
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84 |
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" WebDriverWait(driver, timeout).until(\n",
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85 |
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" EC.presence_of_all_elements_located((By.TAG_NAME, \"img\"))\n",
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86 |
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" )\n",
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87 |
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"\n",
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88 |
+
" # Get all image elements\n",
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89 |
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" images = driver.find_elements(By.TAG_NAME, \"img\")\n",
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90 |
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"\n",
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91 |
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" # Wait for images to load\n",
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92 |
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" for img in images:\n",
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93 |
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" try:\n",
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94 |
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" WebDriverWait(driver, 2).until(\n",
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95 |
+
" lambda d: img.get_attribute('complete') == 'true' and\n",
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96 |
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" img.get_attribute('naturalHeight') != '0'\n",
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" )\n",
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98 |
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" except:\n",
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99 |
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" continue # Skip images that don't load within timeout\n",
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100 |
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"\n",
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101 |
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" except Exception as e:\n",
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102 |
+
" print(f\"Warning: Not all images could be loaded: {e}\")"
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103 |
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],
|
104 |
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"id": "11933d956e20b6b8",
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105 |
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"outputs": [],
|
106 |
+
"execution_count": 10
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107 |
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},
|
108 |
+
{
|
109 |
+
"metadata": {
|
110 |
+
"ExecuteTime": {
|
111 |
+
"end_time": "2024-10-25T10:33:23.469518Z",
|
112 |
+
"start_time": "2024-10-25T10:32:53.382666Z"
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113 |
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}
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114 |
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},
|
115 |
+
"cell_type": "code",
|
116 |
+
"source": [
|
117 |
+
"chrome_options = Options()\n",
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118 |
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"chrome_options.add_argument(\"--headless\")\n",
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119 |
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"chrome_options.add_argument(\"--disable-gpu\")\n",
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120 |
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"chrome_options.add_argument(\"--no-sandbox\")\n",
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121 |
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"chrome_options.add_argument(\"--disable-dev-shm-usage\")\n",
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122 |
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"\n",
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123 |
+
"# Add fake headers\n",
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124 |
+
"for key, value in headers.items():\n",
|
125 |
+
" chrome_options.add_argument(f'--{key.lower()}={value}')\n",
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126 |
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"\n",
|
127 |
+
"# Additional configurations to appear more human-like\n",
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128 |
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"chrome_options.add_argument(\"--disable-blink-features=AutomationControlled\")\n",
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129 |
+
"chrome_options.add_argument(\"--window-size=1920,1080\")\n",
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130 |
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"\n",
|
131 |
+
"# Enable images in headless mode\n",
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132 |
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"chrome_options.add_argument(\"--force-device-scale-factor=1\")\n",
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133 |
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"chrome_options.add_argument(\"--high-dpi-support=1\")\n",
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134 |
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"\n",
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135 |
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"# Privacy and fingerprinting prevention\n",
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136 |
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"chrome_options.add_argument(\"--disable-blink-features\")\n",
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137 |
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"chrome_options.add_argument(\"--disable-infobars\")\n",
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138 |
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"chrome_options.add_experimental_option(\"excludeSwitches\", [\"enable-automation\"])\n",
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139 |
+
"chrome_options.add_experimental_option(\"useAutomationExtension\", False)\n",
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140 |
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"\n",
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141 |
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"# Enable JavaScript\n",
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142 |
+
"chrome_options.add_argument(\"--enable-javascript\")\n",
|
143 |
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"\n",
|
144 |
+
"driver = webdriver.Chrome(options=chrome_options)\n",
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145 |
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"\n",
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146 |
+
"driver.execute_cdp_cmd(\"Page.addScriptToEvaluateOnNewDocument\", {\n",
|
147 |
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" \"source\": \"\"\"\n",
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148 |
+
" Object.defineProperty(navigator, 'webdriver', {\n",
|
149 |
+
" get: () => undefined\n",
|
150 |
+
" })\n",
|
151 |
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" \"\"\"\n",
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152 |
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"})\n",
|
153 |
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"\n",
|
154 |
+
"products_url = \"https://www.target.com/s?searchTerm=Peach&tref=typeahead%7Cterm%7CPeach%7C%7C%7Chistory\"\n",
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155 |
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"driver.get(products_url)\n",
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156 |
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"\n",
|
157 |
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"time.sleep(3)\n",
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158 |
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"\n",
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159 |
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"# Scroll and wait for content\n",
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160 |
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"scroll_and_wait(driver)\n",
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161 |
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"\n",
|
162 |
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"# Wait for images to load\n",
|
163 |
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"wait_for_images(driver)\n",
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164 |
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"\n",
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165 |
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"time.sleep(2)\n",
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166 |
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"\n",
|
167 |
+
"soup = BeautifulSoup(driver.page_source, \"html.parser\")\n",
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168 |
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"driver.quit()"
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169 |
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],
|
170 |
+
"id": "ac14cff825f0887f",
|
171 |
+
"outputs": [],
|
172 |
+
"execution_count": 11
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173 |
+
},
|
174 |
+
{
|
175 |
+
"metadata": {
|
176 |
+
"ExecuteTime": {
|
177 |
+
"end_time": "2024-10-25T10:52:34.470225Z",
|
178 |
+
"start_time": "2024-10-25T10:52:34.458243Z"
|
179 |
+
}
|
180 |
+
},
|
181 |
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"cell_type": "code",
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182 |
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"source": [
|
183 |
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"from urllib.parse import urljoin\n",
|
184 |
+
"import json\n",
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185 |
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"\n",
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186 |
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"\n",
|
187 |
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"def convert_relative_urls(soup, base_url):\n",
|
188 |
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" \"\"\"\n",
|
189 |
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" Convert all relative URLs in the soup object to absolute URLs.\n",
|
190 |
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" Handles href, src, and data-src attributes.\n",
|
191 |
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" \"\"\"\n",
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192 |
+
" # Convert href attributes (links)\n",
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193 |
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" for tag in soup.find_all(href=True):\n",
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194 |
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" tag['href'] = urljoin(base_url, tag['href'])\n",
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195 |
+
"\n",
|
196 |
+
" # Convert src attributes (images, scripts, etc.)\n",
|
197 |
+
" for tag in soup.find_all(src=True):\n",
|
198 |
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" tag['src'] = urljoin(base_url, tag['src'])\n",
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199 |
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"\n",
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200 |
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" # Convert data-src attributes (lazy loaded images)\n",
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201 |
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" for tag in soup.find_all(attrs={'data-src': True}):\n",
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202 |
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" tag['data-src'] = urljoin(base_url, tag['data-src'])\n",
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203 |
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"\n",
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204 |
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" return soup\n",
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205 |
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"\n",
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206 |
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"\n",
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207 |
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"def count_images_in_element(element):\n",
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208 |
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" \"\"\"\n",
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209 |
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" Count all images within an element, including nested ones.\n",
|
210 |
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" \"\"\"\n",
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211 |
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" return len(element.find_all('img', recursive=True))\n",
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212 |
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"\n",
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213 |
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"\n",
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214 |
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"def get_element_identifier(element):\n",
|
215 |
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" \"\"\"\n",
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216 |
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" Create a unique identifier for an element including tag and classes.\n",
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217 |
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" \"\"\"\n",
|
218 |
+
" identifier = element.name\n",
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219 |
+
" if element.get('class'):\n",
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220 |
+
" identifier += f\" .{' .'.join(element['class'])}\"\n",
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221 |
+
" if element.get('id'):\n",
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222 |
+
" identifier += f\" #{element['id']}\"\n",
|
223 |
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" return identifier\n",
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224 |
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"\n",
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225 |
+
"\n",
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226 |
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"def has_child_with_same_count(element, image_count, all_elements_with_counts):\n",
|
227 |
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" \"\"\"\n",
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228 |
+
" Check if the element has any child with the same image count.\n",
|
229 |
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" \"\"\"\n",
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230 |
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" for other_element, other_count in all_elements_with_counts:\n",
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231 |
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" if other_count == image_count and other_element != element:\n",
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232 |
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" if any(parent == element for parent in other_element.parents):\n",
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233 |
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" return True\n",
|
234 |
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" return False\n",
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235 |
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"\n",
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236 |
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"\n",
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237 |
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"def print_results_with_content(element_list):\n",
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238 |
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" \"\"\"\n",
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239 |
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" Print formatted results including the inner content of elements.\n",
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240 |
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" \"\"\"\n",
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241 |
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" print(\"\\nElements Containing Most Images (Lowest Level for Each Count):\")\n",
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242 |
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" print(\"=\" * 100)\n",
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243 |
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"\n",
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244 |
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" for rank, (tag_info, count, element) in enumerate(element_list, 1):\n",
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245 |
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" print(f\"\\nRank {rank}:\")\n",
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246 |
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" print(\"-\" * 100)\n",
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247 |
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" print(f\"Element: {tag_info}\")\n",
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248 |
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" print(f\"Image Count: {count}\")\n",
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249 |
+
" print(\"\\nContent Preview:\")\n",
|
250 |
+
" print(\"-\" * 100)\n",
|
251 |
+
"\n",
|
252 |
+
" # Get all immediate img tags\n",
|
253 |
+
" immediate_images = element.find_all('img', recursive=False)\n",
|
254 |
+
" nested_images = element.find_all('img', recursive=True)\n",
|
255 |
+
"\n",
|
256 |
+
" print(f\"Direct images: {len(immediate_images)}\")\n",
|
257 |
+
" print(f\"Total images (including nested): {len(nested_images)}\")\n",
|
258 |
+
" print(\"\\nImage sources:\")\n",
|
259 |
+
"\n",
|
260 |
+
" # Print image sources and alt text\n",
|
261 |
+
" for img in nested_images:\n",
|
262 |
+
" src = img.get('src', 'No source')\n",
|
263 |
+
" alt = img.get('alt', 'No alt text')\n",
|
264 |
+
" print(f\"- Source: {src}\")\n",
|
265 |
+
" print(f\" Alt text: {alt}\")\n",
|
266 |
+
"\n",
|
267 |
+
" print(\"\\nFull HTML structure:\")\n",
|
268 |
+
" print(\"-\" * 100)\n",
|
269 |
+
" # Print formatted HTML structure\n",
|
270 |
+
" html_content = element.prettify()\n",
|
271 |
+
" print(html_content)\n",
|
272 |
+
" print(\"=\" * 100)\n",
|
273 |
+
"\n",
|
274 |
+
"\n",
|
275 |
+
"def find_top_image_parent(soup, base_url):\n",
|
276 |
+
" \"\"\"\n",
|
277 |
+
" Find the element containing the most images at the lowest level and return its details as JSON.\n",
|
278 |
+
" \"\"\"\n",
|
279 |
+
" # Collect all elements with their image counts\n",
|
280 |
+
" soup = convert_relative_urls(soup, base_url)\n",
|
281 |
+
"\n",
|
282 |
+
" elements_with_counts = []\n",
|
283 |
+
" for element in soup.find_all():\n",
|
284 |
+
" if element.name != 'img': # Skip img tags themselves\n",
|
285 |
+
" image_count = count_images_in_element(element)\n",
|
286 |
+
" if image_count > 0:\n",
|
287 |
+
" elements_with_counts.append((element, image_count))\n",
|
288 |
+
"\n",
|
289 |
+
" # Sort by image count in descending order\n",
|
290 |
+
" elements_with_counts.sort(key=lambda x: x[1], reverse=True)\n",
|
291 |
+
"\n",
|
292 |
+
" if not elements_with_counts:\n",
|
293 |
+
" return json.dumps({\"error\": \"No elements with images found\"}, indent=2)\n",
|
294 |
+
"\n",
|
295 |
+
" max_count = elements_with_counts[0][1]\n",
|
296 |
+
"\n",
|
297 |
+
" # Get all elements with max count\n",
|
298 |
+
" top_elements = [(elem, count) for elem, count in elements_with_counts if count == max_count]\n",
|
299 |
+
" print(len(elements_with_counts))\n",
|
300 |
+
" # \n",
|
301 |
+
" # # Find the lowest-level element among those with max count\n",
|
302 |
+
" # top_element = None\n",
|
303 |
+
" # for element, count in top_elements:\n",
|
304 |
+
" # if not has_child_with_same_count(element, count, elements_with_counts):\n",
|
305 |
+
" # top_element = element\n",
|
306 |
+
" # break\n",
|
307 |
+
" # \n",
|
308 |
+
" # if not top_element:\n",
|
309 |
+
" # return json.dumps({\"error\": \"No suitable element found\"}, indent=2)\n",
|
310 |
+
" # \n",
|
311 |
+
" # # Collect all images within the element\n",
|
312 |
+
" # images = []\n",
|
313 |
+
" # for img in top_element.find_all('img', recursive=True):\n",
|
314 |
+
" # image_data = {\n",
|
315 |
+
" # \"src\": img.get('src', 'No source'),\n",
|
316 |
+
" # \"alt\": img.get('alt', 'No alt text')\n",
|
317 |
+
" # }\n",
|
318 |
+
" # # Add any other attributes that exist\n",
|
319 |
+
" # for attr in ['title', 'width', 'height', 'class']:\n",
|
320 |
+
" # if img.get(attr):\n",
|
321 |
+
" # image_data[attr] = img[attr]\n",
|
322 |
+
" # images.append(image_data)\n",
|
323 |
+
" # \n",
|
324 |
+
" # # Create result dictionary\n",
|
325 |
+
" # result = {\n",
|
326 |
+
" # \"element\": {\n",
|
327 |
+
" # \"tag\": top_element.name,\n",
|
328 |
+
" # \"identifier\": get_element_identifier(top_element),\n",
|
329 |
+
" # \"classes\": top_element.get('class', []),\n",
|
330 |
+
" # \"id\": top_element.get('id', None)\n",
|
331 |
+
" # },\n",
|
332 |
+
" # \"image_count\": max_count,\n",
|
333 |
+
" # \"images\": images,\n",
|
334 |
+
" # \"html_content\": str(top_element)\n",
|
335 |
+
" # }\n",
|
336 |
+
" # \n",
|
337 |
+
" # # Create styled HTML output\n",
|
338 |
+
" # style_tag = f\"\"\"\n",
|
339 |
+
" # <style>\n",
|
340 |
+
" # img {{\n",
|
341 |
+
" # width: 300px;\n",
|
342 |
+
" # height: 300px;\n",
|
343 |
+
" # object-fit: contain;\n",
|
344 |
+
" # }}\n",
|
345 |
+
" # </style>\n",
|
346 |
+
" # \"\"\"\n",
|
347 |
+
" # html_output = style_tag + str(top_element)\n",
|
348 |
+
" # \n",
|
349 |
+
" # return json.dumps(result, indent=2), html_output\n"
|
350 |
+
],
|
351 |
+
"id": "3830f2e224e84798",
|
352 |
+
"outputs": [],
|
353 |
+
"execution_count": 33
|
354 |
+
},
|
355 |
+
{
|
356 |
+
"metadata": {},
|
357 |
+
"cell_type": "markdown",
|
358 |
+
"source": "",
|
359 |
+
"id": "80fa7f140d4da0a2"
|
360 |
+
},
|
361 |
+
{
|
362 |
+
"metadata": {
|
363 |
+
"ExecuteTime": {
|
364 |
+
"end_time": "2024-10-25T10:52:36.684418Z",
|
365 |
+
"start_time": "2024-10-25T10:52:36.614623Z"
|
366 |
+
}
|
367 |
+
},
|
368 |
+
"cell_type": "code",
|
369 |
+
"source": [
|
370 |
+
"base_url = products_url.rsplit('/', 1)[0]\n",
|
371 |
+
"find_top_image_parent(soup, base_url)\n",
|
372 |
+
"#\n",
|
373 |
+
"# with open(\"output.json\", \"w\") as file:\n",
|
374 |
+
"# file.write(json_data)\n",
|
375 |
+
"# \n",
|
376 |
+
"# with open(\"output.html\", \"w\") as file:\n",
|
377 |
+
"# file.write(html_content)"
|
378 |
+
],
|
379 |
+
"id": "20b0b8cd238de02d",
|
380 |
+
"outputs": [
|
381 |
+
{
|
382 |
+
"name": "stdout",
|
383 |
+
"output_type": "stream",
|
384 |
+
"text": [
|
385 |
+
"411\n"
|
386 |
+
]
|
387 |
+
}
|
388 |
+
],
|
389 |
+
"execution_count": 34
|
390 |
+
}
|
391 |
+
],
|
392 |
+
"metadata": {
|
393 |
+
"kernelspec": {
|
394 |
+
"display_name": "Python 3",
|
395 |
+
"language": "python",
|
396 |
+
"name": "python3"
|
397 |
+
},
|
398 |
+
"language_info": {
|
399 |
+
"codemirror_mode": {
|
400 |
+
"name": "ipython",
|
401 |
+
"version": 2
|
402 |
+
},
|
403 |
+
"file_extension": ".py",
|
404 |
+
"mimetype": "text/x-python",
|
405 |
+
"name": "python",
|
406 |
+
"nbconvert_exporter": "python",
|
407 |
+
"pygments_lexer": "ipython2",
|
408 |
+
"version": "2.7.6"
|
409 |
+
}
|
410 |
+
},
|
411 |
+
"nbformat": 4,
|
412 |
+
"nbformat_minor": 5
|
413 |
+
}
|