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scrape_skull_key_swa.py
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scrape_skull_key_swa.py
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'''Scraper for Tanzanian Mammals ID Key Site'''
import argparse, csv, os, re, time
from datetime import datetime, date
import utils.scrape as us
import utils.setup as setup
def get_child_urls(url:str, output_list:list, base_url:str, run_count:int) -> list:
'''get a list of each child URL and its own child-option-URLs'''
time.sleep(4)
if run_count == "stop": return
run_count += 1
if re.match(base_url, url) is not None:
url = re.sub(base_url, '', url)
print(f'{run_count} = {base_url}{url}')
soup = us.get_page_soup(base_url + url)
page = {
'order': run_count,
'url': base_url + url,
'page_type': 'Option-page',
'section': None,
'opt_a_link': None,
'opt_a_text': None,
'opt_a_img': None,
'opt_b_link': None,
'opt_b_text': None,
'opt_b_img': None,
'other_images':None,
'other_text':None,
'match_taxon': None,
'match_common': None,
'image_credits':None
}
# - For Current child pages [if any] - 'Select' link
# Get list of all URLs on the current key-page
soup_links = us.get_html_from_soup(soup=soup, selector="a")
soup_child_list = []
# Get Option-page Child URLs
if soup_links is not None and len(soup_links) > 0:
for child_link in soup_links:
if re.match(r'Chagua', child_link.get_text()) is not None:
# if "Select" in child_link.get_text():
child_link_url = child_link['href']
if re.match(base_url, child_link_url) is not None:
child_link_url = re.sub(base_url, '', child_link_url)
soup_child_list.append({'url':base_url + child_link_url})
time.sleep(2.5)
run_count = get_child_urls(base_url + child_link_url, output_list, base_url, run_count)
if len(soup_child_list) > 0:
# Get Option-page specific fields
page['opt_a_link'] = soup_child_list[0]['url']
page['opt_b_link'] = soup_child_list[1]['url']
# Get Option-page Text:
page_text_chunks = us.get_html_from_soup(soup=soup, selector="td")
page_text_list = []
if len(page_text_chunks) > 0:
for chunk in page_text_chunks:
if 'colspan' in chunk.attrs:
if chunk['colspan'] == '2':
if re.match(r'Sehemu\:\s*', chunk.text) is not None:
# print(chunk.text)
page['section'] = chunk.text.strip()
if 'width' in chunk.attrs:
if chunk['width'] == '300':
if re.match(r'Chaguo (A|B)', chunk.text) is None:
page_text_list.append(chunk.text)
if len(page_text_list) > 0:
page['opt_a_text'] = page_text_list[0]
page['opt_b_text'] = page_text_list[1]
if len(page_text_list) > 2:
page['other_text'] = str(page_text_list[2:])
# Get list of option image-URLs
page_images = us.get_html_from_soup(soup=soup, selector="img")
page_image_list = []
if len(page_images) > 0:
for image in page_images:
if 'alt' not in image.attrs:
page_image_list.append(base_url + image['src'])
if len(page_image_list) > 0:
page['opt_a_img'] = page_image_list[0]
page['opt_b_img'] = page_image_list[1]
if len(page_image_list) > 2:
page['other_images'] = ' | '.join(page_image_list[2:])
else:
# # test batch
# if run_count > 10: run_count = "stop"
# Get Match-page-specific fields
# Switch page-type
page['page_type'] = 'Match-page'
# Add match-taxon
page['match_taxon'] = us.get_text_from_soup(soup, 'td i')
if us.get_text_from_soup(soup, 'h1[id=species]') is not None:
page['match_taxon'] = us.get_text_from_soup(soup, 'h1[id=species]')
print(page['match_taxon'])
author = us.get_text_from_soup(soup, 'p[id=zero_margin]')
print(author)
if author is not None:
page['match_taxon'] += f' {author}'
# Add common name
td_tags = us.get_text_from_soup(soup, 'td')
if len(td_tags) > 0:
for td in td_tags:
if re.match('Kielelezo chako kinalingana', td.text) is not None:
common_name = re.sub(r'Kielelezo chako kinalingana.+\n(.+\n)+(.+)\n*', r'\2', td.text)
page['match_common'] = common_name
if us.get_text_from_soup(soup, 'h3') is not None and common_name is None:
page['match_common'] = us.get_text_from_soup(soup, 'h3')
# Add images
page_images = us.get_html_from_soup(soup=soup, selector="img")
page_image_list = []
if len(page_images) > 0:
for image in page_images:
if 'alt' not in image.attrs:
page_image_list.append(base_url + image['src'])
if len(page_image_list) > 0:
page['other_images'] = ' | '.join(page_image_list)
# Get Match-page Text:
page_text_chunks = us.get_html_from_soup(soup=soup, selector="td")
page_text_list = []
if len(page_text_chunks) > 0:
for chunk in page_text_chunks:
if 'width' in chunk.attrs:
if chunk['width'] == '200':
page_text_list.append(chunk.text)
if len(page_text_list) > 0:
page['other_text'] = str(page_text_list)
# Get list of Match-page image-URLs
page_images = us.get_html_from_soup(soup=soup, selector="img")
page_image_list = []
if len(page_images) > 0:
for image in page_images:
if 'alt' not in image.attrs:
page_image_list.append(base_url + image['src'])
if len(page_image_list) > 0:
page['other_images'] = ' | '.join(page_image_list)
# Get Image credits
page_image_credits = us.get_html_from_soup(soup=soup, selector="font")
page_credit_list = []
for credit in page_image_credits:
if 'size' in credit.attrs:
if credit['size'] == '2':
page_credit_list.append(credit.text)
if len(page_credit_list) > 0:
page['image_credits'] = ' | '.join(page_credit_list)
print(page)
output_list.append(page)
return run_count
def main():
'''main function'''
config = setup.get_config()
# Set up command line arguments
parser = argparse.ArgumentParser()
parser.add_argument("start_url", help="top level URL to use as starting point")
parser.add_argument("output_path", help="Output path (with trailing '/')")
args = parser.parse_args()
# First, we need to get all of the URLs we need to scrape
start_url = args.start_url
output_list = []
run_count = 0
get_child_urls(start_url, output_list, config['BASE_URL'], run_count)
# Check if dir exists, and if not, make it
output_path = args.output_path
if not os.path.isdir(output_path):
os.makedirs(output_path)
date_suffix = re.sub(r'\-|\s*|\:|\..*', '', str(date.today()))
with open(f"{output_path}scraped_skull_key_Swa_{date_suffix}.csv", encoding='utf-8', mode='w') as scraped_urls:
col_names = list(output_list[0].keys())
print(col_names)
write = csv.DictWriter(f=scraped_urls, fieldnames=col_names)
write.writeheader()
write.writerows(output_list)
if __name__ == '__main__':
main()