Bot Detection - Detect Bots & Block Bot Traffic

Bot Detection API & Bot Detection Tools

Industry Leading Bot Detection Tools To Detect Website Bot Attacks

Easily deploy the IPQS bot detection API to quickly mitigate bot traffic with precision accuracy. Identify even the most sophisticated bots which can bypass Google recaptcha and similar captcha services. IPQS can prevent bots before unwanted traffic reaches your website at any point during a user path, such as initiating the bot check before checkout, login, or registration. Quickly deploy our bot detection tools on your website with our easy-to-use bot detection API in JSON or XML format with low-latency response times.

Stop bot attacks on your website and forms with precision accuracy that minimizes false-positives. Protect your websites, apps, and APIs from bot traffic with IPQualityScore.

How Does IPQS Bot Detection Work?

IPQS combines multiple fraud and threat intelligence signals to identify automated traffic and distinguish malicious bots from legitimate users. Each request can be analyzed in real time using information about the IP address, device, browser, behavior, honeypot-sourced threat data, and known threat patterns.

1. Analyze IP & Network Intelligence

IPQS evaluates IP reputation, network characteristics, proxy and VPN activity, and known abusive infrastructure to identify connections associated with suspicious or automated traffic.

2. Analyze Device & Browser Signals

Device fingerprinting analyzes 300+ data points per session, alongside browser verification, to help identify compromised devices, emulators, invalid browsers, and other characteristics associated with automated or fraudulent activity.

3. Monitor User Behavior

Behavioral analysis identifies patterns associated with non-human activity, scripted attacks, headless browsers, and other forms of automated behavior.

4. Draw on Honeypot & Global Threat Intelligence

IPQS operates a network of 100,000+ honeypots across 150+ countries that continuously captures how bots behave in the wild, with threat data refreshed roughly every five minutes. This lets IPQS recognize new and evolving bot patterns — not just traffic that already matches a known blocklist. Learn more about how IPQS's honeypot network works.

5. Apply Machine Learning

IPQS machine learning models analyze over 1 billion transactions and impressions daily to identify known bot behavior and emerging threats across the network, continuously updating detection patterns as new abusive infrastructure appears.

6. Calculate Bot & Fraud Risk

Signals from IP, device, browser, behavior, honeypot data, and machine learning are combined into a single real-time risk score, typically returned in under a few hundred milliseconds, so businesses can act without adding noticeable latency for legitimate users.

7. Take Action in Real Time

When suspicious bot activity is detected, businesses can use IPQS risk signals and custom rules to allow the user, send the activity for review, limit access, or block the user or transaction — without slowing down the experience for real users.

What Does IPQS Bot Detection Detect?

IPQS bot detection identifies automated and abusive activity across websites, applications, APIs, and digital transactions. By combining IP intelligence, device signals, browser verification, behavioral analysis, honeypot data, and machine learning, IPQS can help identify a wide range of malicious bot activity.

Malicious Bots — Identify automated traffic and scripted activity associated with fraud, abuse, and other malicious behavior.

Web Scraping Bots — Detect automated visitors attempting to scrape website content, product information, or other sensitive data.

Credential Stuffing — Identify automated login attempts using stolen usernames and passwords to gain unauthorized access to accounts

Account Takeover Bots — Detect automated and suspicious activity associated with account takeover attempts, including abnormal login behavior and high-risk traffic

Fake & Duplicate Accounts — Identify automated signups and coordinated account creation used to generate fake or duplicate user accounts.

Automated Transactions — Detect bots involved in fraudulent purchases, automated checkout activity, and other abusive transactions.

Click & Ad Fraud — Identify automated clicks, fake traffic, and other bot activity that can inflate advertising costs or distort campaign performance.

Botnets & Compromised Devices — Identify traffic associated with known botnets, compromised devices, emulators, and other suspicious infrastructure.

Automated API Abuse — Detect scripted and automated activity targeting APIs, applications, and other online services.

Expert Bot Mitigation To Block Bots

Mitigate bot traffic for websites, APIs, and apps without hurting the user experience for legitimate users. IPQS solutions are perfect for bot protection with seamless integration in the background. Our tools do not display any loading messages or delay the page's display in any way. Frictionless filtering provides a smooth user experience for your audience while removing malicious bots and clicks from suspicious web traffic. Keep your business protected from the web's worst bad actors by adding just a few lines of code to your site to enable bot mitigation.

Bot Management Solutions

IPQS is a complete solution for bot management. Automatically block unwanted traffic on your website and prevent web scraping. Protect your website's content with IPQS bot detection software by quickly analyzing incoming clicks and traffic to identify scripted attacks, high risk behavior, automated browsing, and other signals of non-human bot activity. IPQS bot manager also mitigates fraud that can occur during login, signup, checkout, and similar action points.

Website Bot Detection

Protect your site with intelligent website bot detection that installs in just a few minutes using a real-time bot detection API. Your website will then be able to automatically prevent data scraping and risky traffic from malicious bots. IPQS algorithms ensure that false-positives are minimized to prevent impacting the user experience for legitimate visitors to your site. Ensure that human users with legitimate behavior signals can freely browse your site while having the power to block bad bots.

Effective Bot Detection for Automated Attacks

Good bot detection can identify patterns of automated threats and easily block malicious actors. IPQS taps into our own proprietary threat intelligence network contributed by Fortune 500s and SMBs. Our bot management solutions are powered by threat blacklists updating every second with fresh abuse reports for basic bots which have recurring attack patterns, and even for evasive bots which use more human user behavior patterns. Live scoring of incoming traffic can effectively block bad bots.

Quick Integration for Bot Detection Tools

Fraudsters tend to pray on easy victims. Once you begin to mitigate bots using the IPQualityScore bot management solution, cybercriminals typically move on to easier targets. Implementing IPQS's bot detection solution only takes a few minutes and will instantly block bots. Automate quality control and regulate fraudulent accounts & transactions in real-time. Increase the integrity and security of your website by minimizing fraudulent behavior, fake traffic, and non-human visitors.

View available IPQS fraud detection plugins that make it easy to enable bot management and mitigate bot traffic for over 2,000 apps.

IPQS Bot Detection Capabilities

Real-Time Bot Detection — Identify automated traffic, malicious bots, scripted attacks, botnets, and other non-human activity in real time, with risk scores typically returned in under a few hundred milliseconds.

Multi-Signal Detection — Combine IP reputation, device fingerprinting, browser verification, behavioral analysis, honeypot data, machine learning, and threat intelligence to assess traffic risk.

Sophisticated Bot Detection — Detect bots that attempt to mimic legitimate users through residential proxies, VPNs, virtual devices, emulators, and other evasion techniques.

Device & Browser Analysis — Analyze 300+ device and browser data points to identify compromised devices, emulators, invalid browsers, and other suspicious environments.

Behavioral Analysis — Identify patterns of automated or non-human behavior, including scripted activity and abnormal browsing patterns.

Honeypot-Sourced Threat Intelligence — Draw on a network of 100,000+ honeypots across 150+ countries, refreshed roughly every five minutes, to detect emerging bot behavior before it appears on generic blocklists.

Machine Learning — Use machine learning models trained on over 1 billion daily transactions and impressions to identify emerging bot behavior and fraud patterns.

Adaptive Filtering — Configure detection rules and thresholds to match your audience and reduce false positives while identifying irregular or abusive behavior.

Real-Time Bot Mitigation — Automatically block, limit, or send suspicious users and transactions for review when bot activity is detected, without adding latency for legitimate users.

Bot Detection API — Integrate real-time bot detection into websites, applications, and APIs using low-latency JSON or XML API responses

What to Look for in a Bot Detection API

Not all bot detection approaches are built the same way. When evaluating a bot detection API, consider:

Real-time scoring — Detection should happen inline, not in a delayed batch process, so decisions can be made before a transaction completes.

Multiple signal types — Detection based on a single signal (IP address alone, for example) is easier for sophisticated bots to evade. Combining IP, device, behavioral, and threat intelligence data is significantly harder to bypass.

Documented accuracy and false-positive rates — Detection that blocks too many legitimate users creates as much of a problem as missed bot traffic.

Latency at scale — Bot detection should be able to score high volumes of traffic without slowing down the end-user experience.

Flexible integration — Look for API, SDK, and plugin-based deployment options that fit existing infrastructure, from custom applications to platforms like Shopify and WooCommerce.