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- #
- # htmlTableParser.py
- #
- # Example of parsing a simple HTML table into a list of rows, and optionally into a little database
- #
- # Copyright 2019, Paul McGuire
- #
- import pyparsing as pp
- import urllib.request
- # define basic HTML tags, and compose into a Table
- table, table_end = pp.makeHTMLTags('table')
- thead, thead_end = pp.makeHTMLTags('thead')
- tbody, tbody_end = pp.makeHTMLTags('tbody')
- tr, tr_end = pp.makeHTMLTags('tr')
- th, th_end = pp.makeHTMLTags('th')
- td, td_end = pp.makeHTMLTags('td')
- a, a_end = pp.makeHTMLTags('a')
- # method to strip HTML tags from a string - will be used to clean up content of table cells
- strip_html = (pp.anyOpenTag | pp.anyCloseTag).suppress().transformString
- # expression for parsing <a href="url">text</a> links, returning a (text, url) tuple
- link = pp.Group(a + a.tag_body('text') + a_end.suppress())
- link.addParseAction(lambda t: (t[0].text, t[0].href))
- # method to create table rows of header and data tags
- def table_row(start_tag, end_tag):
- body = start_tag.tag_body
- body.addParseAction(pp.tokenMap(str.strip),
- pp.tokenMap(strip_html))
- row = pp.Group(tr.suppress()
- + pp.ZeroOrMore(start_tag.suppress()
- + body
- + end_tag.suppress())
- + tr_end.suppress())
- return row
- th_row = table_row(th, th_end)
- td_row = table_row(td, td_end)
- # define expression for overall table - may vary slightly for different pages
- html_table = table + tbody + pp.Optional(th_row('headers')) + pp.ZeroOrMore(td_row)('rows') + tbody_end + table_end
- # read in a web page containing an interesting HTML table
- with urllib.request.urlopen("https://en.wikipedia.org/wiki/List_of_tz_database_time_zones") as page:
- page_html = page.read().decode()
- tz_table = html_table.searchString(page_html)[0]
- # convert rows to dicts
- rows = [dict(zip(tz_table.headers, row)) for row in tz_table.rows]
- # make a dict keyed by TZ database name
- tz_db = {row['TZ database name']: row for row in rows}
- from pprint import pprint
- pprint(tz_db['America/Chicago'])
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