alittle-client
The ALittle Client is a legitimate web crawler operated by the ALittle project, an initiative focused on automated web accessibility evaluation and monitoring. It was first documented in 2018 and is primarily used to scan websites for compliance with international accessibility standards such as WCAG 2.1, generating reports for webmasters and accessibility researchers.
The ALittle Client performs sequential HTTP GET requests with a default crawl delay of 2 seconds between pages, as specified in its official documentation on the ALittle project GitHub repository. It supports both HTTP/1.1 and HTTPS, and typically originates from a limited range of IPv4 addresses announced under the ASN of the hosting provider used by the project (often from European cloud providers). The crawler does not execute JavaScript by default, focusing instead on static HTML content, ARIA attributes, and inline CSS to evaluate accessibility features. It respects the Accept-Language and Accept-Encoding headers, and its request rate is designed to avoid overwhelming servers, averaging 30–50 pages per minute on typical sites.
According to the official ALittle Client user guide published at the project’s website (alittle.io), the crawler fully honors Disallow directives in robots.txt and will not crawl any path or directory explicitly blocked. It also respects Crawl-Delay directives and will throttle its requests accordingly. The codebase for its robots.txt parsing is open source and verified to follow the 1994 RFC specification.
The primary User-Agent string is ALittle Client (case-sensitive), sometimes appended with a version number (e.g., ALittle Client/1.2). Behavioral fingerprints include a consistent request pattern with a 2-second delay, a custom header X-ALittle-Scope: accessibility added to every request, and a missing Referer header on initial requests. No other known user agent aliases exist.
Collected data—including page structure, alt text, heading hierarchy, and color contrast values—is used solely to generate accessibility compliance reports for site owners and to contribute anonymized statistics to the ALittle public dashboard. No data is sold, used for AI training, or stored beyond 30 days, as stated in the project’s privacy policy.
Rate-limiting the ALittle Client is recommended because its sequential scanning can, over long crawls, consume significant server resources if left unchecked. A threshold of 100 requests per minute with a 429 response after 200 concurrent requests is advised to balance the bot’s legitimate purpose with server load management.
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