![]() Print(json.dumps(image_results, indent=2))įull DIY Code import requests, lxml, re, json, urllib.request (image, f"SerpApi_Images/original_size_img_.jpg") If image not in image_results:įor index, image in enumerate(results, start=1): # checks for "Google hasn't returned any results for this query." Results = search.get_dict() # JSON -> Python dictionary Search = GoogleSearch(params) # where data extraction happens # other query parameters: hl (lang), gl (country), etc ![]() "ijn": 0, # page number: 0 -> first page, 1 -> second. ![]() "num": "100", # number of images per page In this example we iterating over 4 search queries,ĭoing pagination on each query until results is present,Īnd extracting original size image + optionally saving locallyįor query in : No need to figure out regular expressions in order to extract original size image resolution, create a parser and maintain it over time, or how to scale the number of requests without being blocked.Įxample with pagination and multiple search queries: ''' The main difference between API and DIY approach that written below is that it's a quicker and easier approach.
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