Bot Crawlers

What Are Bot Crawlers?

Bot Crawlers, also known as Crawler Traffic, are automated programs that systematically browse websites to index content, collect data, monitor changes, or perform web analysis. Search engines, SEO tools, price comparison services, and web archives all rely on crawlers to access publicly available information.

Unlike sophisticated advertising fraud, bot crawlers typically do not attempt to hide their automated nature. They identify themselves through user agents, predictable request patterns, or publicly documented IP ranges. For this reason, crawler traffic is generally classified as General Invalid Traffic (GIVT) rather than Sophisticated Invalid Traffic (SIVT).

Although crawlers are not inherently malicious, they may unintentionally trigger advertising tags, impression counters, analytics scripts, or tracking pixels, resulting in non-human advertising interactions.

According to FraudScore’s aggregated 2025 analysis, crawler traffic accounted for approximately 6.4% of detected web anomalies, demonstrating that legitimate automation remains a significant source of invalid traffic.

How Bot Crawlers Work

Bot crawlers automatically visit web pages by following links, sitemaps, APIs, or predefined crawling rules.

Depending on their purpose, they may:

• Index websites for search engines.
• Collect publicly available information for analytics or research.
• Monitor website changes over time.
• Scrape pricing, product, or content data.
• Verify website availability and technical performance.
• Accidentally activate advertising scripts pixels, or impression tracking.

Because crawlers often process thousands of pages automatically, they can generate large volumes of non-human requests within a short period.

Why It Matters for Your Campaigns

Bot Crawlers are generally not fraudulent, but they can still affect advertising measurement if they are not filtered from campaign reporting.

For advertisers, crawler traffic may lead to:

• Inflated impression counts.
• Distorted website traffic statistics.
• Reduced data quality in marketing analytics.
• Misleading engagement metrics.
• Inaccurate audience measurement.
• Lower confidence in campaign performance reports.

Most modern advertising and analytics platforms automatically exclude known crawler traffic, but unidentified or poorly configured crawlers may still influence campaign data.

How to Prevent Crawler Traffic from Affecting Campaigns

The objective is not to block legitimate crawlers entirely, but to prevent them from distorting advertising measurement.

Recommended practices include:

• Filter known crawler IP ranges and user agents.
• Exclude General Invalid Traffic (GIVT) from campaign reporting.
• Monitor unusual spikes in automated page requests.
• Validate impression and click events before attribution.
• Compare server logs with advertising analytics to identify non-human activity.
• Combine crawler detection with behavioral analysis and traffic quality monitoring.
• Use anti-fraud solutions capable of distinguishing legitimate automation from fraudulent bot traffic.

Separating legitimate crawler traffic from malicious automation improves reporting accuracy and allows advertisers to optimize campaigns using data generated by real users rather than automated systems.