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joyscapebot

Bot User-Agent: joyscapebot

🤖 Overview

joyscapebot is a web crawler operated by Joyscape, a commercial data extraction and AI training platform headquartered in San Francisco, California. Its primary purpose is to systematically collect publicly available web content—including text, images, and metadata—to feed into Joyscape’s proprietary large language model (LLM) and data enrichment services, which are offered to enterprise clients for building custom AI applications. Based on documentation published on the official Joyscape website, the crawler was first deployed in early 2024 and is designed to operate at scale, processing millions of pages per day to maintain an up-to-date training dataset.

🌐 Technical Behavior

Technically, joyscapebot employs a distributed multi-threaded architecture that sends HTTP GET requests from IP ranges documented in Joyscape’s official IP list, which includes subnets in the 52.x.x.x (Amazon Web Services) and 34.x.x.x (Google Cloud) blocks. The bot follows HTTP/1.1 and HTTP/2 protocols, uses TLS 1.2/1.3, and sets the Accept-Language header to en-US,en;q=0.9. Crawl frequency is configurable per domain; by default, it sends requests at intervals of 0.5 to 2 seconds but can exceed 10 requests per second on sites with high response latency. The bot identifies itself with a standard User-Agent string and includes a From header containing an abuse contact email. It does not support cookies or JavaScript execution, relying solely on static HTML parsing.

📋 robots.txt Compliance

According to Joyscape’s official robots.txt policy, joyscapebot fully honors Disallow, Crawl-delay, and Allow directives as defined in the Robots Exclusion Protocol. Joyscape provides a publicly accessible validation tool that lets webmasters test whether a specific URL will be crawled, and the company states that any site using a Crawl-delay value of 10 seconds or higher will see the bot automatically throttle to that interval. However, independent documentation from the Joyscape developer blog notes that the bot may occasionally ignore wildcard patterns if they conflict with a broader Allow rule, though this is rare and flagged as a bug.

🔍 Detection Indicators

The primary detection indicator is the User-Agent string: joyscapebot/1.0 (compatible; Joyscape 2024). Behavioral fingerprints include a pattern of requesting robots.txt before every new domain, a fixed request interval of 2 seconds when no Crawl-delay is set, and a consistent set of HTTP headers that include Accept: text/html,application/xhtml+xml. Additionally, the bot always appends a unique request ID in the X-Joyscape-Request-Id header.

📊 Data Usage

Collected data is used exclusively for training Joyscape’s AI models and providing enriched datasets to enterprise customers under strict data licensing agreements. Joyscape publicly states that they do not resell raw crawled content, and any personal information is anonymized before being ingested into training pipelines. The company also offers an opt-out mechanism where webmasters can request permanent exclusion via an automated form.

⚙️ Rate Limiting Policy

Because joyscapebot can initiate high-frequency bursts (up to 20 requests per second on fast servers), it is rate-limited to prevent unintended denial-of-service conditions on smaller hosts. Standard practice involves setting a domain-level throttle of 5 requests per second with an exponential backoff for repeated violations, aligning with Joyscape’s own recommendation that webmasters implement connection limits if the bot ignores Crawl-delay directives due to misconfiguration.

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— Imperva Bad Bot Report 2026

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ⓘ Data Notice: The information presented above has been compiled from publicly available internet sources. Boteraser aggregates this data solely for informational purposes and does not independently classify, evaluate, or endorse any findings about the bots listed. The accuracy and completeness of this information is the sole responsibility of the original publishers. Boteraser and its operators accept no liability for any decisions made based on this data.

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