HTML Table Extractor is a python library that uses Beautiful Soup to extract data from complicated and messy html table
pip install 'beautifulsoup4==4.5.3'
pip install html-table-extractor
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from html_table_extractor.extractor import Extractor
table_doc = """
<table><tr><td>1</td><td>2</td></tr><tr><td>3</td><td>4</td></tr></table>
"""
extractor = Extractor(table_doc)
extractor.parse()
extractor.return_list()
It will print out:
[[u'1', u'2'], [u'3', u'4']]
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from html_table_extractor.extractor import Extractor
table_doc = """
<table><tr><td>1</td><td>2</td></tr><tr><td>3</td><td>4</td></tr></table>
"""
extractor = Extractor(table_doc, transformer=int)
extractor.parse()
extractor.return_list()
It will print out:
[[1, 2], [3, 4]]
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from html_table_extractor.extractor import Extractor
from bs4 import BeautifulSoup
table_doc = """
<html><table id='wanted'><tr><td>1</td><td>2</td></tr><tr><td>3</td><td>4</td></tr></table><table id='unwanted'><tr><td>not wanted</td></tr></table></html>
"""
soup = BeautifulSoup(table_doc, 'html.parser')
extractor = Extractor(soup, id_='wanted')
extractor.parse()
extractor.return_list()
It will print out:
[[u'1', u'2'], [u'3', u'4']]
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from html_table_extractor.extractor import Extractor
table_doc = """
<table>
<tr>
<td rowspan=2>1</td>
<td>2</td>
<td>3</td>
</tr>
<tr>
<td colspan=2>4</td>
</tr>
<tr>
<td colspan=3>5</td>
</tr>
</table>
"""
extractor = Extractor(table_doc)
extractor.parse()
extractor.return_list()
It will print out:
[[u'1', u'2', u'3'], [u'1', u'4', u'4'], [u'5', u'5', u'5']]
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from html_table_extractor.extractor import Extractor
table_doc = """
<table>
<tr>
<td rowspan=2>1</td>
<td>2</td>
<td rowspan=3>3</td>
</tr>
<tr>
<td colspan=2>4</td>
</tr>
<tr>
<td colspan=2>5</td>
</tr>
</table>
"""
extractor = Extractor(table_doc)
extractor.parse()
extractor.return_list()
It will print out:
[[u'1', u'2', u'3'], [u'1', u'4', u'3'], [u'5', u'5', u'3']]
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3 | 4 |
from html_table_extractor.extractor import Extractor
table_doc = """
<table><tr><td>1</td><td>2</td></tr><tr><td>3</td><td>4</td></tr></table>
"""
extractor = Extractor(table_doc).parse()
extractor.write_to_csv(path='.')
It will write to a given path and create a new csv file called output.csv
:
1,2
3,4
If something is not working correctly, or if you have any suggestion on improvements, report it here
Copyright (c) 2017 Justin Li. Released under the MIT License
Third-party copyright in this distribution is noted where applicable.
How to upload the package to pypi (for the reference of the owner)