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{
"cells": [
{
"attachments": {},
"cell_type": "markdown",
"id": "f133d1af",
"metadata": {},
"source": [
"# Working with Data"
]
},
{
"attachments": {},
"cell_type": "markdown",
"id": "231cb7ec",
"metadata": {},
"source": [
"In this notebook, we are going to work on the datasets that are going to be used in order to fine tune our NLP models. \n",
"The different steps that we are going to follow are:\n",
"\n",
"- Scraping ads data from Moroccan youtube products channels"
]
},
{
"cell_type": "markdown",
"id": "8313dd19",
"metadata": {},
"source": [
"# Scraping Data"
]
},
{
"cell_type": "code",
"execution_count": 39,
"id": "978c782a",
"metadata": {},
"outputs": [],
"source": [
"from selenium import webdriver\n",
"from selenium.webdriver.edge.options import Options\n",
"from selenium.webdriver.common.by import By\n",
"from selenium.webdriver.support.ui import WebDriverWait\n",
"from selenium.webdriver.support import expected_conditions as EC\n",
"from bs4 import BeautifulSoup\n",
"import time\n",
"import pandas as pd"
]
},
{
"cell_type": "code",
"execution_count": 52,
"id": "5c643463",
"metadata": {},
"outputs": [],
"source": [
"def scrape_ads(url, channel_name, max_scroll=3, wait_time=2):\n",
" options = Options()\n",
" options.headless = True\n",
" options.add_argument(\"--disable-gpu\")\n",
" options.add_argument(\"--no-sandbox\")\n",
" \n",
" # Mute the audio\n",
" options.add_argument(\"--mute-audio\")\n",
"\n",
" driver = webdriver.Edge(options=options)\n",
"\n",
" driver.get(url)\n",
"\n",
" # Scroll down to load more videos\n",
" height = driver.execute_script(\"return document.documentElement.scrollHeight\")\n",
" while True:\n",
" driver.execute_script(\"window.scrollTo(0, document.documentElement.scrollHeight);\")\n",
" time.sleep(3) # Allow time for the page to load\n",
" new_height = driver.execute_script(\"return document.documentElement.scrollHeight\")\n",
" if new_height == height:\n",
" time.sleep(5) # Wait a bit longer to check if more content loads\n",
" new_height = driver.execute_script(\"return document.documentElement.scrollHeight\")\n",
" if new_height == height: # If the height is still the same, we are at the bottom\n",
" break\n",
" height = new_height\n",
"\n",
" src = driver.page_source\n",
" soup = BeautifulSoup(src, 'lxml')\n",
" video_links = soup.find_all('a', {'class': 'yt-simple-endpoint focus-on-expand style-scope ytd-rich-grid-media'})\n",
" links = [\"https://www.youtube.com\" + link.get('href') for link in video_links if link.get('href')]\n",
"\n",
" ads = []\n",
" titles = []\n",
" for link in links:\n",
" driver.get(link)\n",
" time.sleep(5)\n",
"\n",
" src = driver.page_source\n",
" soup = BeautifulSoup(src, 'lxml')\n",
"\n",
" ad_text_span = soup.find('span', class_='yt-core-attributed-string--link-inherit-color')\n",
" ad_text = ad_text_span.text.strip() if ad_text_span else \"No ad found\"\n",
" ads.append(ad_text)\n",
"\n",
" title_tag = soup.find('h1', {'class': 'title style-scope ytd-video-primary-info-renderer'})\n",
" video_title = title_tag.text.strip() if title_tag else 'Title not found'\n",
" titles.append(video_title)\n",
"\n",
" driver.quit()\n",
" return ads, titles, links"
]
},
{
"cell_type": "code",
"execution_count": 63,
"id": "939fa26b",
"metadata": {},
"outputs": [
{
"name": "stderr",
"output_type": "stream",
"text": [
"C:\\Users\\ADS\\AppData\\Local\\Temp\\ipykernel_14604\\116512856.py:3: DeprecationWarning: headless property is deprecated, instead use add_argument('--headless') or add_argument('--headless=new')\n",
" options.headless = True\n"
]
}
],
"source": [
"channel = '@inwi'\n",
"url = f\"https://www.youtube.com/{channel}/videos\"\n",
"ads, titles, links = scrape_ads(url, channel)"
]
},
{
"cell_type": "code",
"execution_count": 64,
"id": "188b9ba2",
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"(1380, 1380, 1380)"
]
},
"execution_count": 64,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"len(ads), len(titles), len(links)"
]
},
{
"cell_type": "code",
"execution_count": 65,
"id": "d6dedc02",
"metadata": {},
"outputs": [],
"source": [
"# put ads, titles and links in a dataframe\n",
"df3 = pd.DataFrame({'ad': ads, 'title': titles, 'link': links})\n",
"\n",
"# add channel column\n",
"df3['channel'] = channel"
]
},
{
"cell_type": "code",
"execution_count": 67,
"id": "c7a6bb24",
"metadata": {},
"outputs": [
{
"data": {
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" .dataframe thead th {\n",
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"</style>\n",
"<table border=\"1\" class=\"dataframe\">\n",
" <thead>\n",
" <tr style=\"text-align: right;\">\n",
" <th></th>\n",
" <th>ad</th>\n",
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" <tbody>\n",
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" <td>https://www.youtube.com/watch?v=IgsAKIPPjig</td>\n",
" <td>@inwi</td>\n",
" </tr>\n",
" <tr>\n",
" <th>1377</th>\n",
" <td>Le présent de l'indicatif des verbes pronominaux</td>\n",
" <td>Le présent de l'indicatif des verbes pronominaux</td>\n",
" <td>https://www.youtube.com/watch?v=NvYs05Ix3OY</td>\n",
" <td>@inwi</td>\n",
" </tr>\n",
" <tr>\n",
" <th>1378</th>\n",
" <td>Soutien scolaire - Français - Novembre 2012</td>\n",
" <td>Soutien scolaire - Français - Novembre 2012</td>\n",
" <td>https://www.youtube.com/watch?v=ThXZp-jRrUY</td>\n",
" <td>@inwi</td>\n",
" </tr>\n",
" <tr>\n",
" <th>1379</th>\n",
" <td>Les contes marocains par la voix de Rachi El O...</td>\n",
" <td>Emadrassa - L'espace de lecture présenté par R...</td>\n",
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"text/plain": [
" ad \n",
"1375 initiative e-Madrassa proposée par inwi (Souti... \\\n",
"1376 initiative e-Madrassa proposée par inwi (Souti... \n",
"1377 Le présent de l'indicatif des verbes pronominaux \n",
"1378 Soutien scolaire - Français - Novembre 2012 \n",
"1379 Les contes marocains par la voix de Rachi El O... \n",
"\n",
" title \n",
"1375 النشاط العلمي - حت التربة - الجزء الأول Janvie... \\\n",
"1376 اللغة العربية -أنشطة تطبيقية - الجزء الثاني - ... \n",
"1377 Le présent de l'indicatif des verbes pronominaux \n",
"1378 Soutien scolaire - Français - Novembre 2012 \n",
"1379 Emadrassa - L'espace de lecture présenté par R... \n",
"\n",
" link channel \n",
"1375 https://www.youtube.com/watch?v=9z2eSPv7dLo @inwi \n",
"1376 https://www.youtube.com/watch?v=IgsAKIPPjig @inwi \n",
"1377 https://www.youtube.com/watch?v=NvYs05Ix3OY @inwi \n",
"1378 https://www.youtube.com/watch?v=ThXZp-jRrUY @inwi \n",
"1379 https://www.youtube.com/watch?v=OPaECpKBl6I @inwi "
]
},
"execution_count": 67,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"df3.tail()"
]
},
{
"cell_type": "code",
"execution_count": 69,
"id": "e9f0c14f",
"metadata": {},
"outputs": [],
"source": [
"# concat df and df1 , df1, df3\n",
"df_ads = pd.concat([df, df1, df2, df3], ignore_index=True)"
]
},
{
"cell_type": "code",
"execution_count": 73,
"id": "94398c8a",
"metadata": {},
"outputs": [
{
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"\n",
" .dataframe thead th {\n",
" text-align: right;\n",
" }\n",
"</style>\n",
"<table border=\"1\" class=\"dataframe\">\n",
" <thead>\n",
" <tr style=\"text-align: right;\">\n",
" <th></th>\n",
" <th>ad</th>\n",
" <th>title</th>\n",
" <th>link</th>\n",
" <th>channel</th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" <tr>\n",
" <th>0</th>\n",
" <td>بشراكة مع بنك التغدية، مؤسسة أورنج تلتزم بالمس...</td>\n",
" <td>Orange Maroc : خطوة خير</td>\n",
" <td>https://www.youtube.com/watch?v=3RoNBU-snrc</td>\n",
" <td>@orangemaroc</td>\n",
" </tr>\n",
" <tr>\n",
" <th>1</th>\n",
" <td>خدمة Transfert internet كاينة مع أورنج 🧡\\n\\nعن...</td>\n",
" <td>Orange Maroc: Transfert de solde</td>\n",
" <td>https://www.youtube.com/watch?v=oQKRx9i2NdY</td>\n",
" <td>@orangemaroc</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2</th>\n",
" <td>أورنج ديما كاينة معاك !🧡\\n\\nمع خدمة solde dépa...</td>\n",
" <td>Orange Maroc: Solde dépannage</td>\n",
" <td>https://www.youtube.com/watch?v=ElW8plKHRrI</td>\n",
" <td>@orangemaroc</td>\n",
" </tr>\n",
" <tr>\n",
" <th>3</th>\n",
" <td>لفراجة كاينة مع La Fibre d'Orange !\\nنتا غير ...</td>\n",
" <td>Orange Maroc : La Fibre d'Orange لفراجة كاينة مع</td>\n",
" <td>https://www.youtube.com/watch?v=sDt4tK29Vy8</td>\n",
" <td>@orangemaroc</td>\n",
" </tr>\n",
" <tr>\n",
" <th>4</th>\n",
" <td>سخاوة النجمة 3 المضوبلة كاينة ! 😍\\nاستافدو من ...</td>\n",
" <td>Orange Maroc : النجمة 3 المضوبلة كاينة</td>\n",
" <td>https://www.youtube.com/watch?v=U2VOn8mhN8U</td>\n",
" <td>@orangemaroc</td>\n",
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"text/plain": [
" ad \n",
"0 بشراكة مع بنك التغدية، مؤسسة أورنج تلتزم بالمس... \\\n",
"1 خدمة Transfert internet كاينة مع أورنج 🧡\\n\\nعن... \n",
"2 أورنج ديما كاينة معاك !🧡\\n\\nمع خدمة solde dépa... \n",
"3 لفراجة كاينة مع La Fibre d'Orange !\\nنتا غير ... \n",
"4 سخاوة النجمة 3 المضوبلة كاينة ! 😍\\nاستافدو من ... \n",
"\n",
" title \n",
"0 Orange Maroc : خطوة خير \\\n",
"1 Orange Maroc: Transfert de solde \n",
"2 Orange Maroc: Solde dépannage \n",
"3 Orange Maroc : La Fibre d'Orange لفراجة كاينة مع \n",
"4 Orange Maroc : النجمة 3 المضوبلة كاينة \n",
"\n",
" link channel \n",
"0 https://www.youtube.com/watch?v=3RoNBU-snrc @orangemaroc \n",
"1 https://www.youtube.com/watch?v=oQKRx9i2NdY @orangemaroc \n",
"2 https://www.youtube.com/watch?v=ElW8plKHRrI @orangemaroc \n",
"3 https://www.youtube.com/watch?v=sDt4tK29Vy8 @orangemaroc \n",
"4 https://www.youtube.com/watch?v=U2VOn8mhN8U @orangemaroc "
]
},
"execution_count": 73,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"df_ads.head()"
]
},
{
"cell_type": "code",
"execution_count": 72,
"id": "bb4effba",
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"<class 'pandas.core.frame.DataFrame'>\n",
"RangeIndex: 3992 entries, 0 to 3991\n",
"Data columns (total 4 columns):\n",
" # Column Non-Null Count Dtype \n",
"--- ------ -------------- ----- \n",
" 0 ad 3992 non-null object\n",
" 1 title 3992 non-null object\n",
" 2 link 3992 non-null object\n",
" 3 channel 3992 non-null object\n",
"dtypes: object(4)\n",
"memory usage: 124.9+ KB\n"
]
}
],
"source": [
"df_ads.info()"
]
},
{
"cell_type": "code",
"execution_count": 70,
"id": "76633f3d",
"metadata": {},
"outputs": [],
"source": [
"# push to huggingface dataset\n",
"from datasets import Dataset\n",
"\n",
"dataset = Dataset.from_pandas(df_ads)"
]
},
{
"cell_type": "code",
"execution_count": 49,
"id": "7e41b632",
"metadata": {},
"outputs": [
{
"data": {
"application/vnd.jupyter.widget-view+json": {
"model_id": "40e4f65f82e44cfb8a28f6da043299bd",
"version_major": 2,
"version_minor": 0
},
"text/plain": [
"VBox(children=(HTML(value='<center> <img\\nsrc=https://huggingface.co/front/assets/huggingface_logo-noborder.sv…"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"from huggingface_hub import notebook_login\n",
"notebook_login()"
]
},
{
"cell_type": "code",
"execution_count": 71,
"id": "6b3bd971",
"metadata": {},
"outputs": [
{
"data": {
"application/vnd.jupyter.widget-view+json": {
"model_id": "c35e547ccf024c4580e2433504954f89",
"version_major": 2,
"version_minor": 0
},
"text/plain": [
"Pushing dataset shards to the dataset hub: 0%| | 0/1 [00:00<?, ?it/s]"
]
},
"metadata": {},
"output_type": "display_data"
},
{
"data": {
"application/vnd.jupyter.widget-view+json": {
"model_id": "48d39e651d034177bcd28097a735febd",
"version_major": 2,
"version_minor": 0
},
"text/plain": [
"Creating parquet from Arrow format: 0%| | 0/4 [00:00<?, ?ba/s]"
]
},
"metadata": {},
"output_type": "display_data"
},
{
"data": {
"application/vnd.jupyter.widget-view+json": {
"model_id": "b8dde35a9d784fcf81aeeb610837e73d",
"version_major": 2,
"version_minor": 0
},
"text/plain": [
"Deleting unused files from dataset repository: 0%| | 0/1 [00:00<?, ?it/s]"
]
},
"metadata": {},
"output_type": "display_data"
},
{
"data": {
"application/vnd.jupyter.widget-view+json": {
"model_id": "335d994ba0bf4e069f562eb0e68e1fca",
"version_major": 2,
"version_minor": 0
},
"text/plain": [
"Downloading metadata: 0%| | 0.00/538 [00:00<?, ?B/s]"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"# Push the dataset to your Hugging Face account\n",
"dataset.push_to_hub('MLINSEA/Moroccan_ads')"
]
}
],
"metadata": {
"kernelspec": {
"display_name": "Python 3 (ipykernel)",
"language": "python",
"name": "python3"
},
"language_info": {
"codemirror_mode": {
"name": "ipython",
"version": 3
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"file_extension": ".py",
"mimetype": "text/x-python",
"name": "python",
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"pygments_lexer": "ipython3",
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|