Internet Archive Usage Data Python Script
import requestsimport csv
Define the list of item IDs and the time perioditem_ids = 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"1841b54c-b495-4bb5-9bcf-054e5c393af3"]start_date = "2022-11-01"end_date = "2022-11-30"
# Create a list to hold the access dataaccess_list = []
# Iterate over the list of item IDs and retrieve the access data for each itemfor item_id in item_ids: # Build the API call URL for the current item ID url = f"https://be-api.us.archive.org/views/v1/detail/item/{item_id}/{start_date}/{end_date}"
# Make the API call and extract the relevant access data response = requests.get(url).json() access_data = response["counts_geo"]
# Add each count_kind in the access data to the list as a separate row for count_data in access_data: count_kind = count_data["count_kind"] geo_country = count_data["geo_country"] sum_count_value = count_data["sum_count_value"] access_dict = {"start_date": start_date, "item_id": item_id, "count_kind": count_kind, "access": sum_count_value, "country": geo_country} access_list.append(access_dict)
# Write the access data to a CSV filefilename = f"access_data_{start_date}.csv"with open(filename, 'w', newline='') as file: writer = csv.writer(file) # Write the header row writer.writerow(["start_date", "item_id", "count_kind", "access", "country"]) # Write the data rows for access_dict in access_list: access = access_dict.get("access") country = access_dict.get("country") writer.writerow([access_dict["start_date"], access_dict["item_id"], access_dict["count_kind"], access, country])