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<blockquote data-quote="Rosemar" data-source="post: 20309" data-attributes="member: 4845"><p>That’s a great question! In the realm of SEO, there are plenty of smaller, programming-related tasks that can be really valuable. Here are a few examples:</p><p></p><p>Automating Data Collection: Writing scripts to scrape search engine results, gather keyword data, or monitor competitors.</p><p>Log File Analysis: Using Python to analyze server logs for crawl behavior or errors.</p><p>SEO Audits: Automating checks for broken links, missing meta tags, or duplicate content.</p><p>Redirect Mapping: Creating scripts to handle bulk 301 redirects efficiently.</p><p>Data Visualization: Turning SEO data into charts and insights using libraries like Chart.js (JS) or Matplotlib (Python).</p><p>These tasks are relatively small but impactful, and they align well with your JavaScript and Python skills.</p></blockquote><p></p>
[QUOTE="Rosemar, post: 20309, member: 4845"] That’s a great question! In the realm of SEO, there are plenty of smaller, programming-related tasks that can be really valuable. Here are a few examples: Automating Data Collection: Writing scripts to scrape search engine results, gather keyword data, or monitor competitors. Log File Analysis: Using Python to analyze server logs for crawl behavior or errors. SEO Audits: Automating checks for broken links, missing meta tags, or duplicate content. Redirect Mapping: Creating scripts to handle bulk 301 redirects efficiently. Data Visualization: Turning SEO data into charts and insights using libraries like Chart.js (JS) or Matplotlib (Python). These tasks are relatively small but impactful, and they align well with your JavaScript and Python skills. [/QUOTE]
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