Created
January 3, 2023 00:13
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An example of searching the Art Institute of Chicago's API in Python
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import requests | |
import math | |
limit = 90 | |
fields = "id,image_id,title,artist_id,medium_display" | |
url = f"https://api.artic.edu/api/v1/artworks/search?limit={limit}&fields={fields}" | |
headers = {"user-agent": "test-app/[email protected]"} | |
searchQuery = { | |
"query": { | |
"bool": { | |
"must": [ | |
{"term": {"is_public_domain": True}}, | |
{"match": {"term_titles": "woodcut"}}, | |
# {"match": {"classification_titles": "etching"}}, | |
# {"match": {"subject_titles": "geometric"}}, | |
# {"range": {"color.h": {"lt": 2}}}, | |
], | |
"should": [ | |
{"term": {"is_boosted": True}}, | |
], | |
# "must_not": [ | |
# {"match": {"medium_display": "Ceramic and pigment"}}, | |
# {"match": {"medium_display": "Plant fibers"}}, | |
# {"match": {"term_titles": "metalwork"}}, | |
# ], | |
} | |
} | |
} | |
# Post request | |
r = requests.post(url, headers=headers, json=searchQuery) | |
# Parse results | |
art = r.json() | |
resultSize = art["pagination"]["total"] | |
pages = int(math.ceil(resultSize / 10)) | |
print("Total results:", resultSize, "Limited to:", len(art["data"])) | |
# Prepare image format | |
imageParams = "/full/843,/0/default.jpg" | |
# Loop through and show URL for each image within the limit | |
# Nest this within a `range(1, pages)` loop first if you'd like to access each item within each page | |
for i in range(len(art["data"])): | |
imageId = art["data"][i]["image_id"] | |
print(f"{art['data'][i]['title']}, {art['data'][i]['id']}:") | |
print(f"https://www.artic.edu/iiif/2/{imageId}{imageParams}") |
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