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40 lines
1.2 KiB
Python

import glob
import time
import urllib.request
import requests
import rdflib
HEADERS = {'User-Agent': 'Mozilla/5.0 (X11; Linux i686; rv:64.0) Gecko/20100101 Firefox/64.0'}
def find_image(rdf_doc):
"""
Returns the first dwc:associatedMedia resource in the rdf_doc
"""
graph = rdflib.Graph()
graph.parse(rdf_doc)
mediaref = rdflib.URIRef("http://rs.tdwg.org/dwc/terms/associatedMedia")
for subj, pred, obj in graph:
if pred == mediaref:
return obj
with open("barcode_cleaned.csv") as bcfile:
for line in bcfile:
barcode = line.split(",")[0]
# skip files we already have already scraped
if glob.glob("specimen_img_raw/" + barcode + "*"):
print("we already have", barcode, "skipping to...")
continue
rdf_url = "https://www.botanicalcollections.be/specimen/" + barcode + "/rdf"
print("fetching", rdf_url)
img_url = find_image(rdf_url)
img_ext = str(img_url).rsplit(".", 1)[1]
print("image url:", img_url)
save_path = "specimen_img_raw/" + barcode + "." + img_ext
save_resp = requests.get(img_url, headers=HEADERS, allow_redirects=True)
open(save_path, "wb").write(save_resp.content)
time.sleep(1)