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Caleb Fultz 2024-08-13 22:10:31 +02:00
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import requests
import pandas as pd
import os
import time
# Function to fetch card details from Scryfall using the set code and collector number
def fetch_card_images_by_set_and_number(set_code, collector_number):
url = f"https://api.scryfall.com/cards/{set_code}/{collector_number}"
response = requests.get(url)
if response.status_code == 200:
card_data = response.json()
images = []
# Handle single-sided or multi-sided cards
if 'image_uris' in card_data:
images.append((card_data['image_uris']['normal'], card_data['name']))
if 'card_faces' in card_data:
for face in card_data['card_faces']:
if 'image_uris' in face:
images.append((face['image_uris']['normal'], face['name']))
return images
else:
print(f"Error fetching card with set code {set_code} and collector number {collector_number}: {response.status_code}")
return None
# Function to download and save an image
def download_image(image_url, save_path):
response = requests.get(image_url)
if response.status_code == 200:
with open(save_path, 'wb') as file:
file.write(response.content)
else:
print(f"Failed to download image from {image_url}")
# Function to process the CSV and download images
def download_images_from_csv(csv_path, output_folder):
# Create output directory if it doesn't exist
if not os.path.exists(output_folder):
os.makedirs(output_folder)
# Read the CSV file
df = pd.read_csv(csv_path)
# Assuming the CSV has columns 'Card Name', 'Set Code', and 'Collector Number'
for index, row in df.iterrows():
card_name = row['Card Name']
set_code = row['Set Code']
collector_number = row['Collector Number']
print(f"Processing {card_name} from set {set_code} with collector number {collector_number}...")
images = fetch_card_images_by_set_and_number(set_code, collector_number)
if images:
for image_url, face_name in images:
# Sanitize file name by removing invalid characters
image_file_name = f"{card_name.replace('/', '-').replace(':', '')}_{face_name.replace('/', '-').replace(':', '')}.jpg"
save_path = os.path.join(output_folder, image_file_name)
download_image(image_url, save_path)
time.sleep(0.1) # Sleep to avoid hitting API rate limits
else:
print(f"No images found for {card_name} from set {set_code} with collector number {collector_number}")
# Main execution
if __name__ == "__main__":
# Define the path to the input CSV and output folder
csv_path = 'cards.csv' # Replace with your CSV file path
output_folder = 'downloaded_images'
# Start the download process
download_images_from_csv(csv_path, output_folder)
print("Download completed.")