thisismattmiller

import requests
import json

with open('key.json') as keyfile:
	key_data = json.load(keyfile)

api_key = key_data['key']

#mediums_i_want = ["2028333","2028206","2028902","2035812","2028183","2035306"]
mediums_i_want = ["2028216"]

thisismattmiller

import requests
import json

with open("key.json") as keyjson:
	key = json.load(keyjson)

def archive_search(keyword,limit=20,offset=0,total_only=0):

	url = "https://www.brooklynmuseum.org/api/v2/archive/image/"
	headers = {

thisismattmiller

{
    "@context": {
        "identifiers": "http://id.loc.gov/vocabulary/identifiers/",
        "madsrdf": "http://www.loc.gov/mads/rdf/v1#",
        "owl": "http://www.w3.org/2002/07/owl#",
        "rdf": "http://www.w3.org/1999/02/22-rdf-syntax-ns#",
        "rdfs": "http://www.w3.org/2000/01/rdf-schema#",
        "ri": "http://id.loc.gov/ontologies/RecordInfo#",
        "skos": "http://www.w3.org/2004/02/skos/core#",
        "xsd": "http://www.w3.org/2001/XMLSchema#",

thisismattmiller

import requests
import xml.etree.ElementTree as ET
import json
import multiprocessing

answer_urls = []

def do_work(url):
	print(url)
	urls = []

thisismattmiller

import json

with open('subjects.json') as infile:

	data = json.load(infile)


geo_lookup = {}

for record in data:

thisismattmiller

import json
import csv
import glob

# we need to know the headers, not all files may have all headers so make a big list first
headers = []

for filename in glob.glob("exhibitions/*.json"):
	with open(filename, "r") as data:
		json_file = json.load(data)

thisismattmiller

import requests
import json
import time

key = 'YOURKEYHERE'

url = 'https://maps.googleapis.com/maps/api/place/nearbysearch/json'

all_data = {}

thisismattmiller

import csv

artsts = ["Salvador Dalí", "May Ray", "Giorgio de Chirico", "Pablo Picasso", "Marcel Duchamp", "Francis Picabia", "André Masson", "Joan Miró", "Joan Miró", "René Magritte", "Paul Delvaux", "Yves Tanguy", "Matta", "Frida Kahlo", "Diego Rivera", "Diego Rivera", "Dorothea Tanning", "Leonora Carrington", "Hans Bellmer", "Roland Penrose", "Stella Snead", "Jean Arp", "Luis Buñuel", "Bridget Bate Tichenor", "Toyen", "Leonor Fini", "Dora Maar", "Kay Sage"]




with open("data/MetObjects.csv", "r") as artwork_csv:
	processed_csv = csv.reader(artwork_csv)

thisismattmiller

import requests
import json


url = "https://www.wikidata.org/wiki/Special:EntityData/"
qnumbers = ['Q43260736', 'Q51827254', 'Q56471556']

all_properties = {}
for qnum in qnumbers:

thisismattmiller

from bs4 import BeautifulSoup
import json



# with open('all_eps.json','r') as out:
# 	all_eps = json.load(out)

all_eps = json.load(open('all_eps.json'))
all_tweets = []