diff --git a/Scripts/Web_Scrappers/Economictimes_Scraper/README.md b/Scripts/Web_Scrappers/Economictimes_Scraper/README.md
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+
+### Fetch all News Articles from Economictimes starting from a given input start date and end date.
+
+### How to use this script?
+
+1. Make sure all the requirements for the script are present in your system by running:
+
+    `pip install -r requirements.txt`
+
+2. Run the following command:
+
+    `python economictimes_scraper.py START_DATE END_DATE`  
+    where date format is `YYYY-MM-DD`
+
+3. Example Usage
+`python economictimes_scraper.py 2020-05-15 2020-05-20`  
+Output will be saved in file `ET_NewsData_STARTDATE_ENDDATE.json`
+    
+
+### Author
+
+[Jayesh Narwaria](https://github.com/jaynarw)
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diff --git a/Scripts/Web_Scrappers/Economictimes_Scraper/economictimes_scraper.py b/Scripts/Web_Scrappers/Economictimes_Scraper/economictimes_scraper.py
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+from bs4 import BeautifulSoup
+import lxml
+import requests
+import json
+import datetime
+import sys
+
+# Util
+def datestr_to_date(datestr):
+  [year, month, day] = datestr.split('-')
+  return datetime.date(
+    year=int(year),
+    month=int(month),
+    day=int(day)
+  )
+
+# Reference dates
+reference_date = datetime.date(2001, 1, 1)  # 2001 Jan 1
+reference_date_id = 36892
+
+if len(sys.argv) < 3:
+  print('economictimes_scraper.py START_DATE END_DATE\nDate fmt: YYYY-MM-DD')
+  sys.exit(1)
+
+start_date = datestr_to_date(sys.argv[1])
+end_date = datestr_to_date(sys.argv[2])
+start_dateid = reference_date_id + (start_date - reference_date).days
+end_dateid = reference_date_id + (end_date - reference_date).days
+
+if (start_date - reference_date).days < 0:
+  print('Error: Start date should be > than 2001-01-01')
+  sys.exit(1)
+if (end_date - start_date).days < 0:
+  print('Error: End date should be > than Start date')
+  sys.exit(1)
+
+
+# Gets News article metadata from article url
+def fetchNewsArticle(url):
+  html = requests.get(url).content
+  root = lxml.HTML(html)
+  x = root.xpath("/html/body//script[@type='application/ld+json']")
+  metadata = None ## When Article does not exists (404) 
+  if (len(x) >= 2): 
+    metadata = x[1].text
+  return metadata
+
+et_host = 'https://economictimes.indiatimes.com'
+et_date_url = 'https://economictimes.indiatimes.com/archivelist/starttime-'
+et_date_extension = '.cms'
+
+fetched_data = {}
+
+for dateid in range(start_dateid, end_dateid + 1):
+  date = str(reference_date + datetime.timedelta(days = dateid-reference_date_id))
+  html = requests.get('{}{}{}'.format(et_date_url, dateid, et_date_extension)).content
+  soup = BeautifulSoup(html, 'html.parser')
+  fetched_data[date] = []
+  for x in soup.select('#pageContent table li a'):
+    print(x.text)
+    article_metadata = fetchNewsArticle(et_host + x['href'])
+    fetched_data[date].append({
+      "metadata": article_metadata,
+      "title": x.text,
+      "url": et_host + x['href']
+    })
+
+out_filename = 'ET_NewsData_{}_{}.json'.format(start_date, end_date)
+with open(out_filename, 'w+') as output_file: 
+    output_file.write(json.dumps(fetched_data, indent=2))
diff --git a/Scripts/Web_Scrappers/Economictimes_Scraper/requirements.txt b/Scripts/Web_Scrappers/Economictimes_Scraper/requirements.txt
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+requests==2.23.0
+beautifulsoup4==4.9.3
+lxml==4.5.2