iclr2020.py

import requests
import pandas as pd
LIM = 3000
OFFSET = 1000
all_papers = []
for offs in range(0,LIM,OFFSET):
    papers = requests.get(
    "https://openreview.net/notes?invitation=ICLR.cc%2F2020%2FConference%2F-%2FBlind_Submission&details=replyCount%2C"+
        "original&includeCount=true&offset={0}&limit={1}".format(offs, LIM))
    rows = [
        [p['id'], p['content']['title'], p['content']['pdf'], " ".join(p['content']['keywords']), p['details']['replyCount']] 
        for p in papers.json()['notes']
    ]
    all_papers.extend(rows)
papers = pd.DataFrame(all_papers, columns=['id','title','pdf','keywords','replyCount'])
papers.to_csv('ICLR_sub.csv')
print(papers.shape)  #(2563, 5)