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| import requests | |
| from bs4 import BeautifulSoup | |
| import csv | |
| import re | |
| from datetime import datetime | |
| import streamlit as st | |
| import pandas as pd | |
| import time | |
| def scrape_detik_search(query, num_pages): | |
| base_url = "https://www.detik.com/search/searchnews" | |
| all_results = [] | |
| for page in range(1, num_pages + 1): | |
| params = { | |
| "query": query, | |
| "sortby": "time", | |
| "page": page | |
| } | |
| response = requests.get(base_url, params=params) | |
| if response.status_code == 200: | |
| soup = BeautifulSoup(response.text, 'html.parser') | |
| articles = soup.find_all('article') | |
| for article in articles: | |
| title = article.find('h2', class_='title').text.strip() | |
| # Extract date and time using regular expressions | |
| date_pattern = r'\d{1,2} [a-zA-Z]+ \d{4}' | |
| time_pattern = r'\d{2}:\d{2}' | |
| date_match = re.search(date_pattern, article.find('span', class_='date').text.strip()) | |
| time_match = re.search(time_pattern, article.find('span', class_='date').text.strip()) | |
| if date_match and time_match: | |
| extracted_date = date_match.group() | |
| extracted_time = time_match.group() | |
| # # Convert the extracted date string to a datetime object | |
| # datetime_object = datetime.strptime(extracted_date, '%d %b %Y') | |
| # # Create a formatted date string | |
| # formatted_date = datetime_object.strftime('%Y-%m-%d') | |
| link = article.find('a')['href'] | |
| category = article.find('span', class_='category').text.strip() | |
| all_results.append([title, link, category, extracted_date, extracted_time]) | |
| with st.spinner('Mohon Ditunggu...'): | |
| time.sleep(1) | |
| else: | |
| st.write(f"Error {response.status_code}: Unable to retrieve data from Page {page}.") | |
| return all_results | |
| def save_to_csv(results, filename): | |
| with open(filename, mode='w', newline='', encoding='utf-8') as file: | |
| writer = csv.writer(file) | |
| # Write the header | |
| writer.writerow(["Judul", "Link", "Kategori", "Tanggal", "Waktu"]) | |
| # Write the data | |
| writer.writerows(results) | |
| # Streamlit app | |
| st.title("Detik.com Search Results Scraper") | |
| # Get user input for search query and number of pages | |
| search_query = st.sidebar.text_input("Enter the search query:") | |
| num_pages_to_scrape = st.sidebar.number_input("Select the number of pages to scrape:", 1, 100, 1) | |
| # Scrape Detik.com search results | |
| if st.sidebar.button("Scrape Results"): | |
| search_results = scrape_detik_search(search_query, num_pages_to_scrape) | |
| with st.expander('Data Preview'): | |
| df= pd.DataFrame(search_results, columns= ["Judul", "Link", "Kategori", "Tanggal", "Waktu"]) | |
| st.dataframe(df) | |
| # Save results to a CSV file | |
| csv_filename = f"{search_query.replace(' ', '_')}_detik_search_results.csv" | |
| save_to_csv(search_results, csv_filename) | |
| st.success(f"Results saved to {csv_filename}") | |