Ever bought a domain or invested in link-building, only to realize later that your traffic was mostly bots? I've been there. Before you commit to any Flippa auction or SEO campaign, you need to verify your audience authenticity. That's where a tool like the Bot Traffic Detector comes in handy. It helps identify fake bot and low-quality traffic sources, giving you a clear picture of who's actually visiting your site. Here's a quick Python snippet to check your traffic logs for suspicious patterns:
python
import pandas as pd
Load your traffic log
df = pd.read_csv('traffic_log.csv')
Flag sessions with high request rates or missing user agents
suspicious = df[(df['requests_per_minute'] > 100) | (df['user_agent'].isna())]
print(f'Potential bot traffic: {len(suspicious)} sessions')
For a more comprehensive analysis, check out https://serpspur.com/tool/bot-traffic-detector/. It's a solid way to validate your audience before making big decisions.
Top comments (3)
Nice snippet — simple but effective for initial filtering. I'd also recommend analyzing IP geolocation clusters; a sudden spike from a single data center is a dead giveaway. Thanks for sharing the tool, I'll check it out!
Thanks for sharing this! I've definitely been burned by bot-heavy traffic when assessing a site's value. One question: in your experience, do bot traffic patterns differ significantly between Google Analytics and server-side logs like the one in your snippet?
Great point about bot traffic validation - I've definitely been burned by inflated metrics on Flippa. Have you found any specific patterns in user-agent strings that reliably distinguish human from bot traffic beyond just missing agents? Curious if there's a more nuanced heuristic you'd recommend.