🤖 Overview

WeSEE is a visual search engine and image recognition platform operated by WeSEE Ltd., a Hungarian company founded in 2000. Its crawler systematically collects images and web pages to build a visual index for reverse image search, product recognition, and brand monitoring services, as documented on their official crawler page at wesee.com/en/about/crawler. The bot feeds data into WeSEE’s commercial API products, including the Visual Search Solution and ImageMatch, which are used by e‑commerce and media companies.

🌐 Technical Behavior

The WeSEE crawler initiates HTTP requests from IP ranges registered in Hungary and surrounding European countries, with a typical rate of 2–5 requests per second per thread. According to WeSEE’s official documentation, it fetches both HTML pages and images, parsing standard img tags and links, but does not execute JavaScript or render dynamic content like AJAX-driven galleries. The bot uses HTTP/1.1, sends a User-Agent header identificating itself, and may include a From header with a contact email address. It supports gzip compression and respects the Crawl-Delay directive if specified in robots.txt. Crawl sessions are typically short bursts, and the bot does not follow redirect chains beyond three hops.

📋 robots.txt Compliance

WeSEE’s crawler is documented to fully obey robots.txt rules, including Disallow and Crawl-Delay directives. The official policy, stated on their crawler information page, advises website owners to use “User-agent: WeSEE” to control access, and that ignoring directives is a violation of their operational guidelines. No known incidents or CVEs report non-compliance by this bot.

🔍 Detection Indicators

The primary User-Agent strings are “WeSEE/1.0 (http://wesee.com/bot)” and the legacy “WeSEE (compatible; MSIE 6.0; Windows NT 5.1)”. Some versions appear as “Mozilla/5.0 (compatible; WeSEE/1.0)”. Behavioral fingerprints include sequential image requests from the same IP with intervals of 0.5–2 seconds, and a consistent pattern of requesting a page’s HTML before fetching its embedded images. The bot also sets an HTTP header Accept: */* and no Referer field in image requests.

📊 Data Usage

Collected data is used to populate WeSEE’s visual search database, enabling reverse image lookup, product matching, and brand monitoring for commercial clients. Additionally, the data trains WeSEE’s proprietary Deep Visual Recognition algorithms, which power their APIs for similar image retrieval and logo detection. Unlike general AI training crawlers, WeSEE does not use the data for large language model training or text generation.

⚙️ Rate Limiting Policy

Although legitimate, the WeSEE crawler can become aggressive on large sites with many images, making rate limiting prudent to protect server resources. Threshold-based blocking should only be triggered after the bot exceeds the crawl rates defined in its own Crawl-Delay directive, as documented by WeSEE, to avoid false positives.

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