Content Extraction Templates

Platform-specific guides for automated content data extraction

Manual content extraction wastes days of valuable time. Our platform-specific templates provide exact methods, scripts, and tools to extract all your content data automatically, saving 20+ hours per audit.

Platform-Specific Extraction Methods

WordPress

Tool	Type	Data Available	Format
WP All Export	Plugin	Posts, pages, custom fields, taxonomies	`CSV/XML`
WordPress REST API	API	All content types, metadata, media	`JSON`
phpMyAdmin	Database	Complete database export	`SQL/CSV`
WP-CLI	Command Line	Bulk operations, custom queries	`Various`

HubSpot

Tool	Type	Data Available	Format
HubSpot API v3	API	Blog posts, landing pages, forms	`JSON`
Export Tools	Native	Content performance, analytics	`CSV/Excel`
Operations Hub	Automation	Automated exports, scheduled reports	`Various`
CMS Hub Reports	Built-in	Page performance, SEO data	`CSV`

Google Analytics

Tool	Type	Data Available	Format
GA4 Data API	API	All metrics and dimensions	`JSON`
Google Sheets Add-on	Integration	Automated report pulls	`Sheets`
BigQuery Export	Database	Raw event data	`SQL`
Standard Reports	UI Export	Pre-built report data	`CSV/PDF`

Adobe Experience Manager

Tool	Type	Data Available	Format
AEM Query Builder	API	Content nodes, properties	`JSON/XML`
Package Manager	Native	Content packages	`ZIP`
CRXDE Lite	Developer Tool	JCR repository data	`Various`
Asset Reports	Built-in	Asset metadata, usage	`CSV`

Essential Data Fields to Extract

Content Data

URL/URI
Title
Meta Description
Publish Date
Last Modified
Author
Content Type
Word Count

Performance Metrics

Page Views
Unique Visitors
Average Time on Page
Bounce Rate
Exit Rate
Conversions
Revenue

SEO Data

Target Keywords
H1 Tag
H2 Tags
Internal Links
External Links
Alt Text Count
Schema Markup

Technical Metrics

Page Load Time
Page Size
HTTP Status
Mobile Friendly
Core Web Vitals
Crawl Errors
Redirect Chains

Extraction Scripts & Code Samples

WordPress API Extraction

Python

Extract all posts and pages with metadata

import requests
import csv

# WordPress REST API endpoint
base_url = "https://yoursite.com/wp-json/wp/v2"
posts = requests.get(f"{base_url}/posts?per_page=100").json()

# Extract to CSV
with open('wp_content.csv', 'w') as f:
 writer = csv.writer(f)
 writer.writerow(['ID', 'Title', 'URL', 'Date', 'Modified'])
 for post in posts:
 writer.writerow([
 post['id'], 
 post['title']['rendered'],
 post['link'],
 post['date'],
 post['modified']
 ])

Google Analytics Data Pull

JavaScript

Extract page metrics using GA4 API

const {BetaAnalyticsDataClient} = require('@google-analytics/data');
const client = new BetaAnalyticsDataClient();

async function getPageMetrics() {
 const [response] = await client.runReport({
 property: 'properties/YOUR_PROPERTY_ID',
 dimensions: [{name: 'pagePath'}],
 metrics: [
 {name: 'sessions'},
 {name: 'bounceRate'},
 {name: 'averageSessionDuration'}
 ],
 dateRanges: [{
 startDate: '30daysAgo',
 endDate: 'today'
 }]
 });
 return response;
}

Screaming Frog Command Line

Bash

Automated crawl with custom extraction

# Run Screaming Frog crawl with custom settings
screamingfrogseospider  --crawl https://yoursite.com  --config /path/to/config.seospiderconfig  --output-folder /exports/  --export-format csv  --export-tabs "Internal:All,Page Titles:All,Meta Description:All"  --headless

Data Normalization Rules

Field	Normalization Rule
URL	Remove trailing slashes, lowercase, decode special characters
Date	Convert to ISO 8601 format (YYYY-MM-DD)
Traffic	Convert all to monthly averages
Content Type	Standardize categories (Blog, Product, Landing, Support)
Metrics	Convert percentages to decimals (45% → 0.45)
Currency	Convert to single currency using current exchange rates

Extraction Workflow

Identify Data Sources

Map all platforms containing content (CMS, analytics, SEO tools)

Configure Access

Set up API keys, credentials, and permissions for each platform

Run Extraction

Execute platform-specific extraction scripts or tools

Normalize Data

Apply standardization rules for consistent formatting

Merge & Validate

Combine data sources and validate completeness

Common Extraction Challenges & Solutions

API Rate Limits

Challenge: Hitting API request limits

Solution: Implement pagination, caching, and request throttling

Data Inconsistency

Challenge: Different formats across platforms

Solution: Create mapping tables and transformation rules

Large Data Volumes

Challenge: Handling thousands of pages

Solution: Use batch processing and incremental exports

Data Freshness

Challenge: Keeping extracted data current

Solution: Schedule automated extractions and delta updates

Complete Extraction Toolkit

Everything You Need for Automated Extraction:

Platform-specific extraction guides (15+ platforms)
API connection templates and authentication guides
Python, JavaScript, and bash extraction scripts
Data normalization spreadsheets
Field mapping templates
Automation workflow configurations
Error handling and retry logic
Data validation checklists

Save 20+ hours of manual data extraction per audit

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