Parallelised updating Alexa.com ranking of sites

Script now fetches Alexa ranks for sites concurrently on separate threads. Cuts down the time to sync ranks from approximately **5 minutes** to about **18 seconds**.

site_list.py

@@ -1,56 +1,55 @@
 """Sherlock: Supported Site Listing
-
 This module generates the listing of supported sites.
 """
 import json
 import sys
 import requests
-from argparse import ArgumentParser, RawDescriptionHelpFormatter
+import threading
 from bs4 import BeautifulSoup as bs
-
-def get_rank(domain_to_query):
-    result = -1
-    url = "http://www.alexa.com/siteinfo/" + domain_to_query
-    page = requests.get(url).text
-    soup = bs(page, features="lxml")
-    for span in soup.find_all('span'):
-    	if span.has_attr("class"):
-            if "globleRank" in span["class"]:
-                for strong in span.find_all("strong"):
-                    if strong.has_attr("class"):
-                        if "metrics-data" in strong["class"]:
-                            result = int(strong.text.strip().replace(',', ''))
-    return result
-
-parser = ArgumentParser(formatter_class=RawDescriptionHelpFormatter
-                        )
-parser.add_argument("--rank","-r",
-                    action="store_true",  dest="rank", default=False,
-                    help="Update all website ranks (not recommended)."
-                    )
-args = parser.parse_args()
+from datetime import datetime
+
+pool = list()
+
+def get_rank(domain_to_query, dest):
+	result = -1
+	url = "http://www.alexa.com/siteinfo/" + domain_to_query
+	page = requests.get(url).text
+	soup = bs(page, features="lxml")
+	for span in soup.find_all('span'):
+		if span.has_attr("class"):
+			if "globleRank" in span["class"]:
+				for strong in span.find_all("strong"):
+					if strong.has_attr("class"):
+						if "metrics-data" in strong["class"]:
+							result = int(strong.text.strip().replace(',', ''))
+	dest = result
 
 with open("data.json", "r", encoding="utf-8") as data_file:
-    data = json.load(data_file)
+	data = json.load(data_file)
 
 with open("sites.md", "w") as site_file:
 	data_length = len(data)
 	site_file.write(f'## List Of Supported Sites ({data_length} Sites In Total!)\n')
 
-	index = 1
 	for social_network in data:
 		url_main = data.get(social_network).get("urlMain")
+		th = threading.Thread(target=get_rank, args=(url_main, data.get(social_network)["rank"]))
+		pool.append((url_main, th))
+		th.start()
+
+	index = 1
+	for social_network, th in pool:
+		th.join()
 		site_file.write(f'{index}. [{social_network}]({url_main})\n')
-		if args.rank == True:
-			data.get(social_network)["rank"] = get_rank(url_main)
-			sys.stdout.write("\r{0}".format(f"Updated {index} out of {data_length} entries"))
-			sys.stdout.flush()
+		sys.stdout.write("\r{0}".format(f"Updated {index} out of {data_length} entries"))
+		sys.stdout.flush()
 		index = index + 1
 
+	site_file.write(f'\nAlexa.com rank data fetched at ({datetime.utcnow()} UTC)\n')
+
 sorted_json_data = json.dumps(data, indent=2, sort_keys=True)
 
 with open("data.json", "w") as data_file:
-    data_file.write(sorted_json_data)
+	data_file.write(sorted_json_data)
 
-sys.stdout.write("\r{0}".format(f"Finished updating supported site listing!\n"))
-sys.stdout.flush()
+print("\nFinished updating supported site listing!")