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import requests
api_response = requests.get("https://api.openalex.org/concepts?filter=ancestors.id:C161191863")
parsed_response = api_response.json()
result_list = parsed_response["results"]
for result in result_list:
    print(result["display_name"], result["id"], result["level"])

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import os
import json
import gspread
from oauth2client.service_account import ServiceAccountCredentials

# based on https://www.twilio.com/blog/2017/02/an-easy-way-to-read-and-write-to-a-google-spreadsheet-in-python.html
# read that file for how to generate the creds and how to use gspread to read and write to the spreadsheet

# use creds to create a client to interact with the Google Drive API
scopes = ['https://spreadsheets.google.com/feeds']

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def get_row_iterator_jsonl_gz(filename, log_period_s=5): # log_period_s=None for no logging
    import gzip
    import time
    import os.path
    import json
        

    # this is the compressed file size
    # looks like the gzip format only defines the uncompressed file size modulo 2^32
    file_size = os.path.getsize(filename)  

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www.ncbi.nlm.nih.gov                       | 3482858
 arxiv.org                                  |  655343
 www.persee.fr                              |  200061
 ftp.ncbi.nlm.nih.gov                       |  130586
 biblio.ugent.be                            |   23772
 cds.cern.ch                                |   21790
 repositorio.unesp.br                       |   19220
 hal.archives-ouvertes.fr                   |   15174
 orbit.dtu.dk                               |   11655
 www.econstor.eu                            |   10176

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# -*- coding: utf-8 -*-
#!/usr/bin/env python
### Example code to access the Mendeley OAuth2 API
### Author: Juan Pablo Alperin

import requests
import requests.auth
import urllib
CLIENT_ID = ''
CLIENT_SECRET = ''

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#!/usr/bin/env python
# Initially written by Heather Piwowar, June 2011
# Public domain: have at it!
# For exporting bibtex info into csv for running stats

import csv
import re
from pybtex.database.input import bibtex as bibtex_in
from pybtex.database.output import bibtex as bibtex_out
from operator import itemgetter, attrgetter

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#!/usr/bin/env python
# Initially written by Heather Piwowar, June 2011
# Public domain: have at it!
# For stratified sampling of bibtex records

import random
import math
import re
from collections import defaultdict