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| import requests | |
| from bs4 import BeautifulSoup | |
| import csv | |
| from datetime import datetime | |
| def scrape_amazon_bestsellers(): | |
| url = "https://www.amazon.com/best-sellers-books-Amazon/zgbs/books/" | |
| headers = { | |
| "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" | |
| } | |
| response = requests.get(url, headers=headers) | |
| ''' | |
| with open('amazon-bestsellers-scraper.html', 'r') as file: | |
| html = file.read() | |
| soup = BeautifulSoup(html, 'html.parser') | |
| ''' | |
| soup = BeautifulSoup(requests.content, 'html.parser') | |
| books = [] | |
| for item in soup.find_all("div", id="gridItemRoot"): | |
| rank = item.find("span", class_="zg-bdg-text").text.strip().replace("#", "") | |
| title = item.find_all("a", class_="a-link-normal")[1].text.strip() | |
| author = item.find("div", class_="a-row a-size-small").text.strip() | |
| score = item.find("span", class_="a-icon-alt") | |
| score = score.text.split(" ")[0] if score else "0.0" | |
| price = item.find("span", class_="_cDEzb_p13n-sc-price_3mJ9Z") | |
| price = price.text[1:] if price else "0.0" | |
| type_cover = item.find("span", class_="a-size-small a-color-secondary a-text-normal").text | |
| numbers_reviews = item.find("span", class_="a-size-small").text.replace(",", "") | |
| numbers_reviews = int(numbers_reviews) if numbers_reviews.isdigit() else 0 | |
| books.append({ | |
| "rank": rank, | |
| "title": title, | |
| "author": author, | |
| "price": float(price), | |
| "score": float(score), | |
| "type_cover": type_cover, | |
| "numbers_reviews": numbers_reviews, | |
| "date_scraped": datetime.now().strftime("%Y-%m-%d") | |
| }) | |
| print(books) | |
| return books | |
| def save_to_csv(books, filename): | |
| keys = books[0].keys() | |
| with open(filename, 'w', newline='', encoding='utf-8') as output_file: | |
| dict_writer = csv.DictWriter(output_file, keys) | |
| dict_writer.writeheader() | |
| dict_writer.writerows(books) | |
| if __name__ == "__main__": | |
| bestsellers = scrape_amazon_bestsellers() | |
| save_to_csv(bestsellers, "amazon_bestsellers.csv") | |
| print(f"Scraped {len(bestsellers)} books and saved to amazon_bestsellers.csv") |
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| import plotly.io as pio | |
| # Asumiendo que 'fig' es tu gráfico de Plotly | |
| html_string = pio.to_html(fig, full_html=False, include_plotlyjs='cdn') | |
| # Opcional: guardar en un archivo | |
| with open('mi_grafico.html', 'w') as f: | |
| f.write(html_string) |
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