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    <p>Your approach seems good enough, I would just give certain tags / attributes a weight and loop through them with XPath queries until I find something that exits and it's not void. Something like:</p> <pre><code>i = 0 while (//img[i][@src]) if (//img[i][@alt]) return alt else if (//img[i][@description]) return description else if (//img[i]/../p[0]) return p else return (//title) i++ </code></pre> <hr> <p>A simple XPath example (function <a href="https://github.com/alixaxel/phunction/blob/c6c380e7eb5ec14d153b2942c743271364d355ce/phunction/HTML.php#L36" rel="nofollow">ported from my framework</a>):</p> <pre><code>function ph_DOM($html, $xpath = null) { if (is_object($html) === true) { if (isset($xpath) === true) { $html = $html-&gt;xpath($xpath); } return $html; } else if (is_string($html) === true) { $dom = new DOMDocument(); if (libxml_use_internal_errors(true) === true) { libxml_clear_errors(); } if ($dom-&gt;loadHTML(ph()-&gt;Text-&gt;Unicode-&gt;mb_html_entities($html)) === true) { return ph_DOM(simplexml_import_dom($dom), $xpath); } } return false; } </code></pre> <p>And the actual usage:</p> <pre><code>$html = file_get_contents('http://en.wikipedia.org/wiki/Photography'); print_r(ph_DOM($html, '//img')); // gets all images print_r(ph_DOM($html, '//img[@src]')); // gets all images that have a src print_r(ph_DOM($html, '//img[@src]/..')); // gets all images that have a src and their parent element print_r(ph_DOM($html, '//img[@src]/../..')); // and so on... print_r(ph_DOM($html, '//title')); // get the title of the page </code></pre>
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    1. COI've been reading about XPath and actually started testing some options, but can you expand on this? Finding the distance between nodes seems like a good idea to do, however I haven't come up with a solution just yet.
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    2. CO@stwhite: Actually that was not my idea, you just start at the highest level of specificity (`img` tag) and work your way up, until you find something that you'd want to consider as descriptive.
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    3. COI realize this wasn't your initial idea, but do you have any ideas on how to get the distance between found nodes? For example, finding the position of the current image to a preceding H1 versus the distance from the image to a preceding h2. This would seemingly give a score of which is more likely to be a "better" title. Essentially it would really be about which came first or which is closer to the image.
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