Comments (1)
Maybe try this function after each iteration
def write(data):
timestamp = datetime.now().strftime("%Y%m%d%H%M%S")
csv_filename = f"data_{timestamp}.csv"
json_filename = f"data_{timestamp}.json"
# Check if the CSV file already exists
if os.path.exists(csv_filename):
# Read the existing data from the CSV file
existing_data = pd.read_csv(csv_filename)
# Append new data to the existing data
new_data = pd.DataFrame(data)
updated_data = pd.concat([existing_data, new_data], ignore_index=True)
# Write the updated data to the CSV file
updated_data.to_csv(csv_filename, index=False, mode='a', header=not existing_data.empty)
else:
# File does not exist, create a new file and write the data
new_data = pd.DataFrame(data)
new_data.to_csv(csv_filename, index=False)
# Check if the JSON file already exists
if os.path.exists(json_filename):
# Read the existing data from the JSON file
with open(json_filename, 'r') as file:
existing_data = json.load(file)
# Append new data to the existing data
existing_data.append(data)
# Write the updated data to the JSON file
with open(json_filename, 'w') as file:
json.dump(existing_data, file)
else:
# File does not exist, create a new file and write the data
with open(json_filename, 'w') as file:
json.dump([data], file)
print("Data saved to CSV and JSON files")
from google-maps-scraper.
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