Googlebot
Google’s web crawler indexes your content for search results. It identifies itself via its user-agent string and respects robots.txt directives. Essential for SEO visibility.
Fraud Type Guide
Spider Traffic: Understanding Web Crawlers in Your Analytics
Not all non-human traffic is malicious. Learn how web crawlers work, why they appear in your analytics, and how to separate helpful spiders from harmful bots.
What Is Spider Traffic?
Quick answer: Spider traffic comes from automated web crawlers used by search engines and monitoring services. While mostly benign, spider traffic should be filtered from ad analytics to avoid distorting campaign performance data.
Spider traffic — also called crawler traffic or robot traffic — refers to website visits generated by automated programs that systematically browse the internet. The name comes from the way these programs “crawl” across the web, following links from page to page like a spider moving along its web.
Search engines like Google, Bing, and others rely on spiders to discover, index, and rank web content. Without them, your pages would never appear in search results. However, spider traffic can cause problems when it is not properly identified and filtered from your advertising analytics.
Good Spiders vs. Bad Bots
The key distinction is intent. Legitimate spiders identify themselves and follow rules. Malicious bots disguise their nature to avoid detection.
Bingbot
Microsoft’s crawler for Bing search results. Like Googlebot, it follows established crawling protocols and can be verified through reverse DNS lookup.
Monitoring Bots
Uptime monitors, SEO auditing tools, and accessibility checkers use spiders to verify site health. These are beneficial and typically operate transparently.
Disguised Crawlers
Malicious bots that spoof legitimate spider user-agents to avoid detection. They may scrape content, inflate metrics, or generate fraudulent ad interactions while pretending to be Googlebot.
How Opticks Filters Spider Traffic
Crawler Identification
Opticks verifies spider identity through reverse DNS, IP validation, and behavioural signatures — distinguishing legitimate crawlers from bots spoofing crawler user-agents.
Clean Analytics
Spider traffic is automatically separated from your campaign data, ensuring your analytics reflect real human engagement rather than crawler activity.
Bad Bot Detection
Malicious bots disguised as spiders are flagged using device fingerprinting, behavioural analysis, and cross-campaign pattern recognition for accurate classification.
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