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This module is based on web-scraping technology and uses Google Images to provide a Streamable Image API.
# import Scraper class
from gi_scraper import Scraper
# Pass a Cache instance with a custom directory path and timeout
# Set cache timeout to -1 for caching indefinitely
"""
from gi_scraper import Cache
cache = Cache(dir_path="gi_cache", timeout=-1)
sc = Scraper(workers=8, headless=False, cache=cache)
"""
# The object creation has an overhead time
# The same object can be reused to fire multiple queries
sc = Scraper(headless=False)
for query, count in {"Naruto": 20, "Gintoki": 30}.items():
print("Scraping...", query, ":", count)
# scrape method returns a stream object
stream = sc.scrape(query, count)
# stream.get method yields Response object with following attributes
# - query (str): The query associated with the response.
# - name (str): The name attribute of the response.
# - src_name (str): The source name attribute of the response.
# - src_page (str): The source page attribute of the response.
# - thumbnail (str): The thumbnail attribute of the response.
# - image (str): The image attribute of the response.
# - width (int): The width attribute of the response.
# - height (int): The height attribute of the response.
for index, response in enumerate(stream.get()):
if index == 10:
sc.terminate_query() # Terminate current query midway
break
# response.to_dict returns python representable dictionary
print(response.width, "x", response.height, ":", response.image)
# call this to terminate scraping (auto-called by destructor)
sc.terminate()
FAQs
Google Image Scraper.
We found that gi-scraper demonstrated a healthy version release cadence and project activity because the last version was released less than a year ago. It has 1 open source maintainer collaborating on the project.
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