A minimal framework to extract content from HTML with BeautifulSoup and scikit-learn.
from beatifulkuskus import BeautifulKuskus
html="""
<html><body>
<h1>Header</h1>
<div id="content">
Ba <span class="a b c">boom</span>
</div>
<h5>Footer</h5>
</body></html>
"""
def id_is_content(x):
return "content" in x.ids
kuskus = BeautifulKuskus(html)
print(str(kuskus.prune_by_func(id_is_content)))
from beatifulkuskus import BeautifulKuskus, DataPoint
import joblib # or any other model serialization format
def preprocess(data:DataPoint)->str:
"""This model would only consider the class names and ids"""
# data is ("element", "tags", "classes", "ids", "text")
classes = [" ".join(class_list) class_list for class_list on data.classes]
return " ".join(data.ids) + " " + " ".join(classes)
model = joblib.load("content_model_on_ids_and_classes.joblib")
kuskus = BeautifulKuskus(html)
kuskus.prune_by_content_model(model, preprocess=preprocess)
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