SEO: expand inline contextual links to service pages

Python pipeline article:
- "ETL jobs" -> /services/data-cleaning.php
- Added sentence linking to /services/web-scraping.php (data collection context)

London analytics article (UKDS profile section):
- "data extraction" -> /services/web-scraping.php
- "Web intelligence and competitive monitoring" -> /services/competitive-intelligence.php
- "Data pipeline automation and integration" -> /project-types.php

Churn prediction article:
- "Market price comparisons" -> /services/price-monitoring.php
- External data section: added context link to /services/web-scraping.php

blog/articles/data-analytics-companies-london-top-providers-compared.php

@@ -295,7 +295,7 @@ $modified_date = "2025-08-08";
                                 
                                 <h4>Key Strengths</h4>
                                 <ul>
-                                    <li>✅ <strong>End-to-End Data Solutions:</strong> From extraction to advanced analytics</li>
+                                    <li>✅ <strong>End-to-End Data Solutions:</strong> From <a href="/services/web-scraping.php">data extraction</a> to advanced analytics</li>
                                     <li>✅ <strong>Compliance Expertise:</strong> Deep GDPR and financial services regulations knowledge</li>
                                     <li>✅ <strong>Real-Time Capabilities:</strong> Streaming analytics and live dashboards</li>
                                     <li>✅ <strong>Custom Development:</strong> Bespoke solutions for complex requirements</li>
@@ -307,7 +307,7 @@ $modified_date = "2025-08-08";
                                     <li>Web intelligence and competitive monitoring</li>
                                     <li>Business intelligence and dashboarding</li>
                                     <li>Predictive analytics and machine learning</li>
-                                    <li>Data pipeline automation and integration</li>
+                                    <li><a href="/project-types.php">Data pipeline automation and integration</a></li>
                                     <li>Custom analytics platform development</li>
                                 </ul>
 

blog/articles/predictive-analytics-customer-churn.php

@@ -403,12 +403,12 @@ $read_time = 14;
                             
                             <div class="data-category">
                                 <h4>External & Contextual Data</h4>
-                                <p>Environmental factors that influence customer behaviour and churn decisions.</p>
+                                <p>Environmental factors that influence customer behaviour and churn decisions. Gathering this data at scale typically requires <a href="/services/web-scraping.php">automated web scraping</a> to monitor competitor activity and market conditions in real time.</p>
                                 
                                 <div class="external-factors">
                                     <h5>Competitive Environment</h5>
                                     <ul>
-                                        <li><strong>Competitive pricing:</strong> Market price comparisons, promotional activities</li>
+                                        <li><strong>Competitive pricing:</strong> <a href="/services/price-monitoring.php">Market price comparisons</a>, promotional activities</li>
                                         <li><strong>Feature comparisons:</strong> Competitive product capabilities</li>
                                         <li><strong>Market share shifts:</strong> Industry consolidation, new entrants</li>
                                         <li><strong>Customer switching costs:</strong> Technical, financial, operational barriers</li>

blog/articles/python-data-pipeline-tools-2025.php

@@ -114,7 +114,7 @@ $breadcrumbs = [
                         <li><strong>DataOps Integration:</strong> CI/CD practices and infrastructure-as-code approaches</li>
                     </ul>
                     
-                    <p>The modern data pipeline tool must balance ease of use with enterprise-grade features, supporting everything from simple ETL jobs to complex machine learning workflows, including <a href="/blog/articles/predictive-analytics-customer-churn">customer churn prediction pipelines</a>.</p>
+                    <p>The modern data pipeline tool must balance ease of use with enterprise-grade features, supporting everything from simple <a href="/services/data-cleaning.php">ETL jobs</a> to complex machine learning workflows, including <a href="/blog/articles/predictive-analytics-customer-churn">customer churn prediction pipelines</a>. Before any pipeline can run, you need reliable data — explore our <a href="/services/web-scraping.php">professional web scraping services</a> to automate data collection at scale.</p>
                 </section>
                 
                 <section>