This is a little bit simplified and more efficient than what I previously posted. This python code scrapes an instagram profile as of 6 July 2017. Props go to Minimaxir for the first module and some syntax inspiration.

Instagram Scraper.py

import urllib.request
import json
from bs4 import BeautifulSoup
import csv
import time
import datetime

page_url = "https://www.instagram.com/bastedmind/"

def request_until_succeed(url):
	req = urllib.request.Request(url)
	success = False
	while success is False:
		try:
			response = urllib.request.urlopen(req)
			if response.getcode() == 200:
				success = True
		except Exception as e:
			print(e)
			time.sleep(5)
			print("Error fur URL {}: {}".format(url, datetime.datetime.now()))
			print("retrying.")
	return response.read().decode('utf-8')

def get_more_posts(page_url, end_cursor):
	url = page_url + '?max_id=' + end_cursor
	page_source = request_until_succeed(url)
	page = BeautifulSoup(page_source)
	scripts = page.find_all('script')
	for script in scripts:
		if script.text[:18] == "window._sharedData":
			break
	json_data = json.loads(script.contents[0][21:-1])
	return json_data

def process_post(json_data):
	owner_id = json_data['owner']['id']
	post_id = json_data['id']
	display_src = json_data['display_src']
	media_preview = json_data['media_preview']
	comments_count = json_data['comments']['count']
	gating_info = json_data['gating_info']
	caption = ''
	try:
		caption = json_data['caption']
	except:
		pass
	thumbnail_src = json_data['thumbnail_src']
	comments_disabled = json_data['comments_disabled']
	likes_count = json_data['likes']['count']
	is_video = json_data['is_video']
	dimensions = json_data['dimensions']
	typename = json_data['__typename']
	code = json_data['code']
	link = 'https://www.instagram.com/p/' + code
	video_views = ''
	try:
		video_views = json_data['video_views']
	except:
		pass
	date = json_data['date']
	date = str(datetime.datetime.utcfromtimestamp(date).year)+'-'+str(datetime.datetime.utcfromtimestamp(date).month)+'-'+str(datetime.datetime.utcfromtimestamp(date).day)+' '+str(datetime.datetime.utcfromtimestamp(date).hour)+':'+str(datetime.datetime.utcfromtimestamp(date).minute)+':'+str(datetime.datetime.utcfromtimestamp(date).second)
	date = datetime.datetime.strptime(date,'%Y-%m-%d %H:%M:%S')
	date = date + datetime.timedelta(hours=-5) #EST
	return(owner_id, post_id, display_src, media_preview, comments_count, gating_info, caption, thumbnail_src, comments_disabled, likes_count, is_video, dimensions, typename, link, video_views, date)

def scrape_instagram(page_url):
	scrape_starttime = datetime.datetime.now()
	page_source = request_until_succeed(page_url)
	page = BeautifulSoup(page_source)
	scripts = page.find_all('script')
	for script in scripts:
		if script.text[:18] == "window._sharedData":
			break
	json_data = json.loads(script.contents[0][21:-1])
	has_next_page = True
	num_posts = json_data['entry_data']['ProfilePage'][0]['user']['media']['count']
	username = json_data['entry_data']['ProfilePage'][0]['user']['username']
	num_processed = 0
	print("Scraping {}'s {} Instagram Posts: {}\n".format(username, num_posts, scrape_starttime))
	with open('C:\\Users\\xhargrav\\Desktop\\{}_Instagram.csv'.format(username),'w', newline='', encoding='utf-8') as file:
		csv.writer(file).writerow(["owner_id", "post_id", "display_src", \
			"media_preview", "comments_count", "gating_info", "caption", \
			"thumbnail_src", "comments_disabled", "likes_count", "is_video", \
			"dimensions", "typename", "code", "video_views", "date"])
		while has_next_page:
			for i in range(0,len(json_data['entry_data']['ProfilePage'][0]['user']['media']['nodes'])):
				post_to_process = json_data['entry_data']['ProfilePage'][0]['user']['media']['nodes'][i]
				csv.writer(file).writerow(process_post(post_to_process))
				num_processed += 1
				if num_processed % 100 == 0:
					print("{} Statuses Processed: {}".format(num_processed, datetime.datetime.now()))
			has_next_page = json_data['entry_data']['ProfilePage'][0]['user']['media']['page_info']['has_next_page']
			if has_next_page == True:
				end_cursor = json_data['entry_data']['ProfilePage'][0]['user']['media']['page_info']['end_cursor']
				json_data = get_more_posts(page_url, end_cursor)
			else:
				has_next_page = False
	file.close()
	print("Done! {} posts processed in {}".format(num_processed, datetime.datetime.now() - scrape_starttime))