Use the met API to get object information

met_test.py

import requests
import json
# the search end point
search_end_point = 'https://collectionapi.metmuseum.org/public/collection/v1/search'

# the object endpoint
object_end_point = 'https://collectionapi.metmuseum.org/public/collection/v1/objects/'

# let's make a place for all of our object data to live
object_data = []


# lets do our search

# setup our search paramaters
params = {
	'q' : 'cats',
	'hasImages' : 'true'
}

# use the search endpoint with the params we wanted
search_results = requests.get(search_end_point, params=params)

# turn the results into data

search_data = json.loads(search_results.text)

# this looks like this:
# {'total': 143, 'objectIDs': [551786, 472562, 54474, ...]}

# its an dictonary and the ids live in objectIDs
# so we can loo pthrough them
for object_id in search_data['objectIDs']:
	print(object_id)

	# lets make a request to the object endpoint for this object
	# put together the two piece, the base end point and our 
	# object nubmer, but we gotta convert it to a string to be able to add it to the url string
	url = object_end_point + str(object_id)

	# make that request
	# no params, because the object number id part of the URL
	# in this case, for example it is not "http://.../public/collection/v1/objects/?object=123456" it is "http://.../public/collection/v1/objects/123456" 
	object_result = requests.get(url)

	# make it data
	obj_data = json.loads(object_result.text)

	# add it to our big list
	object_data.append(obj_data)

#once we've done all the objects write it all out
with open('met_objects.json','w') as out:
	json.dump(object_data,out,indent=2)