🤖 Overview

ebingbong is a web crawler operated by Ebingbong Technology Co., Ltd., a Beijing-based AI research company. Its primary purpose is to collect publicly available web content for training proprietary large language models and improving natural language understanding systems. The bot was first identified in server logs in early 2023 and is documented on the company’s official developer portal at ebingbong.com, which provides a user-agent declaration and a contact email for webmasters.

🌐 Technical Behavior

The crawler employs a distributed architecture with multiple concurrent connections, typically requesting pages at a rate of 10–20 requests per second per IP. It uses HTTP/1.1 and supports gzip compression and chunked transfer encoding. IP ranges are predominantly in the 103.x.x.x and 106.x.x.x blocks allocated to Chinese ISPs, with occasional use of cloud providers like Alibaba Cloud and Tencent Cloud. The bot follows links recursively but limits crawl depth to 5 levels and respects Cache-Control headers. It does not execute JavaScript or load external resources like images or CSS. The crawler sends an Accept-Language header set to zh-CN, indicating a primary Chinese locale.

📋 robots.txt Compliance

According to official documentation published at ebingbong.com/robots, ebingbong honors robots.txt Disallow directives. The user-agent string is registered in the Robots Exclusion Protocol standard. Testing by independent webmasters has confirmed it obeys crawl-delay directives when specified, though some reports note occasional delays of up to 30 minutes before respecting updated rules. The company recommends setting a crawl-delay of at least 5 seconds to avoid excessive load.

🔍 Detection Indicators

The primary User-Agent string is Mozilla/5.0 (compatible; ebingbong/1.0; +https://ebingbong.com/bot). Additional variants include ebingbong/2.0 and EbingbongBot/1.0. Behavioral fingerprints include a consistent request interval of 0.5–1 seconds, a tendency to request robots.txt before each domain crawl, and the absence of a Referer header. The User-Agent string links to a verification page where webmasters can confirm the bot’s authenticity via a token lookup.

📊 Data Usage

Collected data is used for training Ebingbong’s AI models, including their flagship LLM “Ebing-LLM” and a companion search relevance engine. The company publishes privacy policies stating they do not retain personally identifiable information and offer an opt-out mechanism via a web form at ebingbong.com/optout. Data is also employed for internal analytics and to improve natural language understanding for their enterprise clients.

⚙️ Rate Limiting Policy

Because ebingbong can generate high request volumes during peak indexing cycles—sometimes exceeding 1,000 requests per minute from a single IP—administrators apply rate limiting to protect server resources. A common implementation is a threshold of 100 requests per minute per IP, followed by a temporary 60-second throttle rather than a permanent block. This ensures fair access for all legitimate crawlers while preventing resource exhaustion and maintaining site stability.

ⓘ 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.