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    <title>DEV Community: heubme</title>
    <description>The latest articles on DEV Community by heubme (@heubme).</description>
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      <title>How to get full-text A-share (China) annual reports as Markdown — Kweichow Moutai example</title>
      <dc:creator>heubme</dc:creator>
      <pubDate>Fri, 04 Sep 2026 02:25:14 +0000</pubDate>
      <link>https://dev.to/heubme/how-to-get-full-text-a-share-china-annual-reports-as-markdown-kweichow-moutai-example-58do</link>
      <guid>https://dev.to/heubme/how-to-get-full-text-a-share-china-annual-reports-as-markdown-kweichow-moutai-example-58do</guid>
      <description>&lt;h1&gt;
  
  
  How to get full-text A-share (China) annual reports as Markdown — Kweichow Moutai example
&lt;/h1&gt;

&lt;p&gt;If you're building RAG or LLM tooling on Chinese equities, you've hit the same wall:&lt;br&gt;
annual reports are published as &lt;strong&gt;PDFs on cninfo.com.cn&lt;/strong&gt;, and turning them into clean,&lt;br&gt;
table-preserving Markdown is real work.&lt;/p&gt;
&lt;h2&gt;
  
  
  The hard way (what most people do)
&lt;/h2&gt;

&lt;ol&gt;
&lt;li&gt;Query cninfo for the announcement PDF.&lt;/li&gt;
&lt;li&gt;Download it.&lt;/li&gt;
&lt;li&gt;Parse the PDF — &lt;code&gt;pymupdf&lt;/code&gt; gets you ~90% of the way, but scanned pages need OCR,
and financial tables often come out mangled.&lt;/li&gt;
&lt;li&gt;Clean headers/footers, restore tables, split chapters.&lt;/li&gt;
&lt;/ol&gt;

&lt;p&gt;Doable, but it's a &lt;em&gt;pipeline&lt;/em&gt;, not a task — and you rebuild it for every company.&lt;/p&gt;
&lt;h2&gt;
  
  
  The one-liner
&lt;/h2&gt;

&lt;p&gt;&lt;a href="https://datasink.ing" rel="noopener noreferrer"&gt;DataSinking&lt;/a&gt; serves &lt;strong&gt;full-text&lt;/strong&gt; annual / semi-annual / quarterly&lt;br&gt;
reports from &lt;strong&gt;China (SSE/SZSE/BSE), Korea and Japan&lt;/strong&gt; as clean Markdown, sourced from the&lt;br&gt;
official disclosure platforms, with YAML frontmatter and preserved headings, paragraphs&lt;br&gt;
and tables.&lt;br&gt;
&lt;/p&gt;

&lt;div class="highlight js-code-highlight"&gt;
&lt;pre class="highlight shell"&gt;&lt;code&gt;curl &lt;span class="s2"&gt;"https://api.datasink.ing/documents?symbol=600519.SS&amp;amp;with_content=1&amp;amp;apikey=YOUR_KEY"&lt;/span&gt;
&lt;/code&gt;&lt;/pre&gt;

&lt;/div&gt;



&lt;p&gt;That returns Kweichow Moutai's latest annual report as Markdown — no PDF, no OCR, no&lt;br&gt;
cleanup. Symbols are FMP-style: &lt;code&gt;600519.SS&lt;/code&gt; (Moutai), &lt;code&gt;005930.KS&lt;/code&gt; (Samsung), &lt;code&gt;7203.T&lt;/code&gt; (Toyota).&lt;/p&gt;
&lt;h2&gt;
  
  
  Pull just one chapter (save tokens)
&lt;/h2&gt;

&lt;p&gt;For RAG you rarely want the whole 300-page report:&lt;br&gt;
&lt;/p&gt;

&lt;div class="highlight js-code-highlight"&gt;
&lt;pre class="highlight shell"&gt;&lt;code&gt;&lt;span class="c"&gt;# list the sections first&lt;/span&gt;
curl &lt;span class="s2"&gt;"https://api.datasink.ing/documents/12345/sections?apikey=YOUR_KEY"&lt;/span&gt;
&lt;span class="c"&gt;# fetch only the MD&amp;amp;A&lt;/span&gt;
curl &lt;span class="s2"&gt;"https://api.datasink.ing/documents/12345?section=MD&amp;amp;A&amp;amp;apikey=YOUR_KEY"&lt;/span&gt;
&lt;/code&gt;&lt;/pre&gt;

&lt;/div&gt;



&lt;p&gt;Chapter-level access is the part most financial APIs miss — and it's the most useful&lt;br&gt;
for feeding an LLM without blowing your context window.&lt;/p&gt;

&lt;h2&gt;
  
  
  Why full text beats structured indicators
&lt;/h2&gt;

&lt;p&gt;Structured-finance APIs give you numbers (revenue, margins, ratios). They don't give you&lt;br&gt;
the &lt;em&gt;narrative&lt;/em&gt; — management discussion, risk factors, notes to the financial statements —&lt;br&gt;
which is exactly what RAG apps and analyst-grade LLM workflows need to answer "why".&lt;/p&gt;

&lt;h2&gt;
  
  
  Start free
&lt;/h2&gt;

&lt;p&gt;Get a free key by email (no signup): &lt;code&gt;POST https://api.datasink.ing/free-key&lt;/code&gt; with&lt;br&gt;
&lt;code&gt;{"email": "you@example.com"}&lt;/code&gt;.&lt;/p&gt;

&lt;ul&gt;
&lt;li&gt;Docs: &lt;a href="https://datasink.ing/docs" rel="noopener noreferrer"&gt;https://datasink.ing/docs&lt;/a&gt;
&lt;/li&gt;
&lt;li&gt;GitHub: &lt;a href="https://github.com/heubme2020/datasinking" rel="noopener noreferrer"&gt;https://github.com/heubme2020/datasinking&lt;/a&gt;
&lt;/li&gt;
&lt;/ul&gt;

</description>
      <category>ai</category>
      <category>rag</category>
      <category>stock</category>
      <category>data</category>
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