diff --git a/getallpdfnips.py b/getallpdfnips.py
new file mode 100644
index 0000000..b09843e
--- /dev/null
+++ b/getallpdfnips.py
@@ -0,0 +1,61 @@
+#!/usr/bin/env python
+
+"""
+Author: Avijit Dasgupta
+
+This script downloads all the pdf files of the accepted papers from "https://papers.nips.cc".
+
+To run this code: python get_all_pdf_nips.py year where you need to specify the year (e.g.- 2011, 2012 etc.)
+
+"""
+
+
+from requests import get
+from urllib.parse import urljoin
+from os import path, getcwd
+from sys import argv
+import pdb
+from bs4 import BeautifulSoup
+import pandas as pd
+import urllib
+import numpy as np
+import pdb
+import os
+import sys
+from nltk.tokenize import RegexpTokenizer
+from gensim import corpora, models
+import gensim
+from stop_words import get_stop_words
+import logging
+from nltk.corpus import stopwords
+from nltk.stem.wordnet import WordNetLemmatizer
+import string
+
+
+
+year = str(sys.argv[1])
+#year = str(2015)
+base_dir = "NIPS" + year
+if not os.path.exists(base_dir):
+    os.makedirs(base_dir)
+base_url = "https://papers.nips.cc"
+url= 'https://papers.nips.cc/book/advances-in-neural-information-processing-systems-29-'+year
+logging.info("Connecting to URL: %s" % url)
+page = urllib.request.urlopen(url)
+
+soup = BeautifulSoup(urllib.request.urlopen(url), "html.parser")
+lists = soup.find_all('li') # Title and paper url
+#print(len(lists))
+lists = lists[1:]
+n_pdfs = 0
+for paper_link in lists:
+    
+    print(paper_link.find_all('a')[0]['href'])
+    n_pdfs+= 1
+    content= get(urljoin(base_url, paper_link.find_all('a')[0]['href']+ '.pdf'))
+
+    with open(path.join(base_dir, paper_link.find_all('a')[0]['href'][7:]+'.pdf'), 'wb') as pdf: #remove /paper/
+        pdf.write(content.content)
+
+
+