Troubleshooting LinkedIn business data export and reporting involves addressing common issues like failed exports, incomplete datasets, and manual process limitations. The most reliable approach starts with LinkedIn's native export tools, which allow downloading Page analytics (XLS), Campaign Manager reports (CSV), and Talent Insights data (PDF/XLS) through straightforward interfaces ^[1][3][8]. However, users frequently encounter problems with timeframe limitations—exports often fail when exceeding 15-day ranges ^[5]—or incomplete CSV outputs where JSON files contain the full dataset ^[10]. For recurring needs, automation tools like Coupler.io, Coefficient, or ViewMetrics can schedule exports and sync data to spreadsheets or BI platforms, reducing manual errors ^[2][6][9].

Key findings for effective troubleshooting:

• Timeframe constraints: LinkedIn analytics exports fail for ranges longer than 15 days; split requests into shorter periods ^[5]
• Data completeness: CSV exports may truncate data; always cross-check with JSON files for full datasets ^[10]
• Automation solutions: Third-party tools (Coupler.io, Coefficient) enable scheduled exports and real-time syncing to Excel/Google Sheets ^[2][6]
• Manual export steps: Native exports require navigating to Analytics > selecting a tab (Content/Visitors/Followers) > choosing a timeframe > clicking Export ^[1][4]

LinkedIn Business Data Export and Reporting Solutions

Native Export Methods and Common Pitfalls

LinkedIn provides built-in export functionality for Page analytics, Campaign Manager reports, and Talent Insights, but users must navigate specific limitations to avoid errors. The native process begins in the Page admin view under the Analytics section, where admins select tabs like Content, Visitors, or Followers before exporting ^[1]. Campaign Manager similarly allows CSV downloads at ad account, campaign group, or ad levels ^[3]. However, these methods frequently encounter two critical issues: timeframe restrictions and incomplete data outputs.

For timeframe-related failures, Reddit users confirm that exports consistently fail when exceeding 15-day ranges, regardless of data volume ^[5]. The solution requires:

• Splitting requests into ≤15-day segments (e.g., two 14-day exports instead of one 30-day request)
• Verifying the selected date range in the upper-right corner before exporting ^[1]
• Testing with smaller ranges (7–10 days) if initial 15-day exports fail

• Downloading both CSV and JSON files from the export interface
• Using online converters (e.g., JSON-to-CSV tools) to extract full data from JSON
• Contacting LinkedIn support if JSON files also appear truncated, as this may indicate API limitations

For Talent Insights reports, the export process differs slightly: users must select individual modules (e.g., "Hiring Trends" or "Skills") via the "More" icon before exporting to XLS/PDF ^[8]. Staffing users face additional watermark restrictions on certain modules.

Automated and Third-Party Solutions

Manual exports become impractical for businesses requiring frequent or real-time data analysis. Third-party tools address these gaps by offering scheduled exports, direct integrations with spreadsheets, and expanded data visualization capabilities. The most robust solutions—Coupler.io, Coefficient, and ViewMetrics—each cater to different technical skill levels and use cases.

• Performance metrics (engagement rates, impressions)
• Audience demographics (job titles, industries, locations)
• Competitor benchmarking data ^[2]

The platform allows scheduling exports to destinations like Google Sheets, Excel, or BI tools (Tableau, Power BI). Setup involves:

1. Connecting a LinkedIn Page via OAuth
2. Selecting data categories and frequency (daily/weekly)
3. Mapping fields to spreadsheet columns
4. Configuring automatic refreshes

• Direct integration with Google Sheets/Excel (no intermediate CSV downloads)
• Custom report templates for marketing dashboards
• Scheduled refreshes (hourly to monthly) ^[6]

Unlike Couplier.io, Coefficient requires initial setup of data connections but reduces long-term manual effort. Users highlight its ability to pull historical data beyond LinkedIn’s native 90-day limit by archiving exports.

For technical users, Google Apps Script provides a coding-based alternative to automate exports without third-party tools. This method involves:

• Writing scripts to call LinkedIn’s API endpoints
• Parsing JSON responses into structured spreadsheet formats
• Setting up time-driven triggers for scheduled runs ^[6]

While flexible, this approach demands programming knowledge and ongoing maintenance for API changes.

• Generating pre-formatted reports from LinkedIn Analytics
• Supporting multi-account management for agencies
• Offering templates for common use cases (e.g., competitor analysis, content performance) ^[9]