This package provides a set of functions to measure the similarity between web pages.
The quick way:
pip install html-similarity
How it works?
Uses sequence comparison of the html tags to compute the similarity.
We not implement the similarity based on tree edit distance because it is slower than sequence comparison.
Extracts css classes of each html document and calculates the jaccard similarity of the sets of classes.
Joint Similarity (Structural Similarity and Style Similarity)
The joint similarity metric is calculated as:
k * structural_similarity(document_1, document_2) + (1 - k) * style_similarity(document_1, document_2)
All the similarity metrics takes values between 0 and 1.
Recommendations for joint similarity
Using k=0.3 give use better results. The style similarity gives more information about the similarity rather than the structural similarity.
Here is a example:
In : html_1 = ''' <h1 class="title">First Document</h1> <ul class="menu"> <li class="active">Documents</li> <li>Extra</li> </ul> ''' In : html_2 = ''' <h1 class="title">Second document Document</h1> <ul class="menu"> <li class="active">Extra Documents</li> </ul> ''' In  from html_similarity import style_similarity, structural_similarity, similarity In : style_similarity(html_1, html_2) Out: 1.0 In : structural_similarity(html_1, html_2) Out: 0.9090909090909091 In : similarity(html_1, html_2) Out: 0.9545454545454546
- The idea of sequence comparision was taken from Page Compare.
- The other ideas were taken from T. Gowda and C. A. Mattmann, Clustering Web Pages Based on Structure and Style Similarity, 2016 IEEE 17th International Conference on Information Reuse and Integration (IRI), Pittsburgh, PA, 2016, pp. 175-180.
- Use case Clustering web pages based on structure and style similarity