thisismattmiller

{
  "russcarnahan.com": 16,
  "secure.actblue.com": 13,
  "secure.piryx.com": 6,
  "services.myngp.com": 5,
  "rickperry.org": 5,
  "secure.mydccc.org": 5,
  "markleyva.com": 4,
  "clyburnforcongress.com": 4,
  "johnsprattforcongress.com": 4,

thisismattmiller

<div><strong>imdb_id1</strong>: <a href="/movie/<%=imdb_id1%>"><%=imdb_id1%></a></div>
<div><strong>color1</strong>: <%=color1%></div>
<div><strong>director_name1</strong>: <%=director_name1%></div>
<div><strong>num_critic_for_reviews1</strong>: <%=num_critic_for_reviews1%></div>
<div><strong>duration1</strong>: <%=duration1%></div>
<div><strong>director_facebook_likes1</strong>: <%=director_facebook_likes1%></div>
<div><strong>actor_3_facebook_likes1</strong>: <%=actor_3_facebook_likes1%></div>
<div><strong>actor_2_name1</strong>: <%=actor_2_name1%></div>
<div><strong>actor_1_facebook_likes1</strong>: <%=actor_1_facebook_likes1%></div>
<div><strong>gross1</strong>: <%=gross1%></div>

thisismattmiller

import requests
import json

url = "http://data.carnegiehall.org/sparql/"

sparql = """
	#Find works by string in the title (case-insensitive)
	PREFIX dcterms: <http://purl.org/dc/terms/>
	PREFIX foaf: <http://xmlns.com/foaf/0.1/>
	PREFIX rdfs: <http://www.w3.org/2000/01/rdf-schema#>

thisismattmiller

import requests
from bs4 import BeautifulSoup
import json

all_item_urls = []

counter = 1


while counter <= 609:

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)