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Oracle Drags Its Feet in the JavaScript Trademark Dispute
Oracle seeks to dismiss fraud claims in the JavaScript trademark dispute, delaying the case and avoiding questions about its right to the name.
This a python module that helps you get SEO data on any website, you have to import it in your script and your good to go
Use the package manager pip to install foobar.
pip install seometa
import threading
from seometa import SEO, read_txt
def get_sublists(original_list, number_of_sub_list_wanted): # sublisting to use Threads
sublists = list()
for sub_list_count in range(number_of_sub_list_wanted):
sublists.append(original_list[sub_list_count::number_of_sub_list_wanted])
return sublists
def worker(websites, file_name):
for website in websites:
seo_keywords = SEO(website) # init the object eg. website = 'google.com'
seo_keywords.run(path=f'{file_name}.csv') # run the process by giving the save file
def main():
websites = read_txt('website.txt') # Reading websites from a text fole
file_name = input('File: ')
n = int(input('Threads: '))
all_websites = get_sublists(websites, n)
threads = []
for website_list in all_websites:
t = threading.Thread(target=worker, args=[website_list, file_name])
threads.append(t)
for thread in threads:
thread.start()
for thread in threads:
thread.join()
Pull requests are welcome. For major changes, please open an issue first to discuss what you would like to change.
Please make sure to update tests as appropriate.
FAQs
Get SEO Meta-data from Websites
We found that seometa 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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