<?xml version="1.0" encoding="UTF-8"?>
<rss version="2.0">
  <channel>
    <title>PyPI recent updates for tedata</title>
    <link>https://pypi.org/project/tedata/</link>
    <description>Recent updates to the Python Package Index for tedata</description>
    <language>en</language>    <item>
      <title>0.3.53</title>
      <link>https://pypi.org/project/tedata/0.3.53/</link>
      <description>Download data from Trading Economics for free and without any account or API key. Uses selenium, javascript &amp; bs4 to scrape data. Trading Economics is one of the greatest stores of economic data on the web and contains millions of time-series for hundreds of different countries.</description>
      <pubDate>Tue, 19 Aug 2025 02:56:07 GMT</pubDate>
    </item>    <item>
      <title>0.3.51</title>
      <link>https://pypi.org/project/tedata/0.3.51/</link>
      <description>Download data from Trading Economics for free and without any account or API key. Uses selenium, javascript &amp; bs4 to scrape data. Trading Economics is one of the greatest stores of economic data on the web and contains millions of time-series for hundreds of different countries.</description>
      <pubDate>Thu, 27 Mar 2025 01:35:36 GMT</pubDate>
    </item>    <item>
      <title>0.3.5</title>
      <link>https://pypi.org/project/tedata/0.3.5/</link>
      <description>Download data from Trading Economics for free and without any account or API key. Uses selenium, javascript &amp; bs4 to scrape data. Trading Economics is one of the greatest stores of economic data on the web and contains millions of time-series for hundreds of different countries.</description>
      <pubDate>Thu, 27 Mar 2025 01:28:37 GMT</pubDate>
    </item>    <item>
      <title>0.3.4</title>
      <link>https://pypi.org/project/tedata/0.3.4/</link>
      <description>Download data from Trading Economics for free and without any account or API key. Uses selenium and bs4 to scrape the data from the website. Trading Economics is one of the greatest stores of economic data on the web and contains millions of time-series for hundreds of different countries. If installing from testpypi, don&#39;t copy the install command in the box, you need to add pypi as the extra-index, use: pip install --index-url https://test.pypi.org/simple/ --extra-index-url https://pypi.org/simple tedata</description>
      <pubDate>Thu, 27 Mar 2025 01:01:13 GMT</pubDate>
    </item>  </channel>
</rss>