Convert HTML and/or HTML tables to JSON.
pip install html-to-json
import html_to_json_enhanced
html_string = """<head>
<title>Test site</title>
<meta charset="UTF-8"></head>"""
output_json = html_to_json_enhanced.convert(html_string)
print(output_json)When calling the html_to_json.convert function, you can choose to not capture the text values from the html by passing in the key-word argument capture_element_values=False. You can also choose to not capture the attributes of the elements by passing capture_element_attributes=False into the function.
Example input:
<head>
<title>Floyd Hightower's Projects</title>
<meta charset="UTF-8">
<meta name="description" content="Floyd Hightower's Projects">
<meta name="keywords" content="projects,fhightower,Floyd,Hightower">
</head>Example output:
{
"head": [
{
"title": [
{
"_value": "Floyd Hightower's Projects"
}],
"meta": [
{
"_attributes":
{
"charset": "UTF-8"
}
},
{
"_attributes":
{
"name": "description",
"content": "Floyd Hightower's Projects"
}
},
{
"_attributes":
{
"name": "keywords",
"content": "projects,fhightower,Floyd,Hightower"
}
}]
}]
}In addition to converting HTML to JSON, this library can also intelligently convert HTML tables to JSON.
Currently, this library can handle three types of tables:
A. Those with table headers in the first row B. Those with table headers in the first column C. Those without table headers
Tables of type A and B are diagrammed below:
This code:
import html_to_json_enhanced
html_string = """<table>
<tr>
<th>#</th>
<th>Malware</th>
<th>MD5</th>
<th>Date Added</th>
</tr>
<tr>
<td>25548</td>
<td><a href="/stats/DarkComet/">DarkComet</a></td>
<td><a href="/config/034a37b2a2307f876adc9538986d7b86">034a37b2a2307f876adc9538986d7b86</a></td>
<td>July 9, 2018, 6:25 a.m.</td>
</tr>
<tr>
<td>25547</td>
<td><a href="/stats/DarkComet/">DarkComet</a></td>
<td><a href="/config/706eeefbac3de4d58b27d964173999c3">706eeefbac3de4d58b27d964173999c3</a></td>
<td>July 7, 2018, 6:25 a.m.</td>
</tr></table>"""
tables = html_to_json_enhanced.convert_tables(html_string)
print(tables)will produce this output:
[
[
{
"#": "25548",
"Malware": "DarkComet",
"MD5": "034a37b2a2307f876adc9538986d7b86",
"Date Added": "July 9, 2018, 6:25 a.m."
}, {
"#": "25547",
"Malware": "DarkComet",
"MD5": "706eeefbac3de4d58b27d964173999c3",
"Date Added": "July 7, 2018, 6:25 a.m."
}
]
]This package was created with Cookiecutter and fhightower's Python project template.