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Python library that parses robots.txt files
pip install robotsparser
from robotsparser.parser import Robotparser
robots_url = "https://www.example.com/robots.txt"
rb = Robotparser(url=robots_url, verbose=True)
# To initiate the crawl of sitemaps and indexed urls. sitemap_crawl_limit argument is optional
rb.read(fetch_sitemap_urls=True, sitemap_url_crawl_limit=5)
# Show information
rb.get_sitemap_indexes() # returns sitemap indexes
rb.get_sitemaps() # returns sitemaps
rb.get_urls() # returns a list of all urls
Crawl in the background and output new entries to file
This is useful for sites where sitemaps are heavily nested and take a long time to crawl
from robotsparser.parser import Robotparser
import threading
if __name__ == '__main__':
robots_url = "https://www.example.com/robots.txt"
rb = Robotparser(url=robots_url, verbose=False)
sitemap_crawl_proc = threading.Thread(target = rb.read, kwargs = {'fetch_sitemap_urls': False}, daemon=True)
sitemap_crawl_proc.start()
while sitemap_crawl_proc.is_alive():
time.sleep(1)
print(f"entries_count: {len(rb.get_sitemap_entries())}, indexes: {len(rb.get_sitemap_indexes())}")
# any logic here to get object data
FAQs
Parse robots.txt files and find indexed urls
We found that robotsparser 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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