html-to-json
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Convert HTML to JSON. Can also (intelligently) convert HTML tables to JSON (using table headers (if available) as keys in the resulting JSON).
HTML to JSON
Convert HTML and/or HTML tables to JSON.
Current Status
📢 I have a lot of demands on my time at the moment and won't be able to work on this library without sponsorship. If this library is useful to you or if you're using this library for a business - please consider sponsoring me. Even a small sponsorship allows me to prioritize work on this library and ongoing maintainance. Thanks!
Installation
pip install html-to-json
Usage
HTML to JSON
import html_to_json
html_string = """<head>
<title>Test site</title>
<meta charset="UTF-8"></head>"""
output_json = html_to_json.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
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"
}
}]
}]
}
HTML Tables to JSON
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:
Example
This code:
import html_to_json
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.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."
}
]
]
Credits
This package was created with Cookiecutter and fhightower's Python project template.