Comprehensive reference documentation for all social engagement metrics returned by the Social Shares endpoint.
These metrics represent publicly available social sharing activity for a URL across supported social platforms. They are intended to help developers, marketers, and SEO professionals measure content distribution, social engagement, and link popularity.
The Social Shares endpoint provides aggregated social engagement metrics for individual URLs.
Unlike SEO authority or backlink metrics, social share counts measure how frequently content has been shared across supported social platforms.
These metrics are commonly used for:
- Content performance analysis
- Social engagement reporting
- SEO content audits
- Competitor content research
- Link popularity analysis
- Marketing analytics dashboards
The endpoint currently provides share counts from:
- Buffer
- Tumblr
- VK
- Odnoklassniki
The total number of recorded Facebook shares associated with the analysed URL.
Facebook shares represent how many times a page has been distributed through Facebook's sharing ecosystem.
integer
{
"facebook": 60243731
}Higher values generally indicate stronger social distribution and audience engagement on Facebook.
A high Facebook share count may suggest:
- Strong content visibility
- High audience interest
- Effective social promotion
- Increased potential for referral traffic
- Measuring content virality
- Comparing competitor content performance
- Identifying highly shared pages
- Building social engagement reports
Facebook share availability depends on publicly accessible platform data and may vary based on Facebook indexing and API availability.
The total number of recorded Buffer shares associated with the analysed URL.
Buffer is a social media management platform that allows users to schedule and distribute content across multiple networks.
integer
{
"buffer": 14813
}Higher values indicate that a URL has been shared more frequently through Buffer's distribution platform.
This may indicate:
- Strong content promotion activity
- Use within marketing workflows
- Higher social distribution volume
- Content marketing analysis
- Social distribution tracking
- Competitor research
Buffer share counts represent activity recorded through the Buffer platform and may not represent total social shares across all networks.
The total number of recorded Pinterest shares associated with the analysed URL.
Pinterest shares represent how frequently content has been saved or distributed through Pinterest.
integer
{
"pinterest": 64
}Higher values may indicate strong visual content engagement or content popularity within Pinterest audiences.
- Measuring visual content performance
- Tracking content distribution
- Identifying popular resources
Pinterest activity is highly dependent on content type, audience, and platform indexing.
The total number of recorded Tumblr shares associated with the analysed URL.
Tumblr shares represent content distribution activity through the Tumblr blogging platform.
integer
{
"tumblr": 1087
}Higher values indicate greater sharing activity within Tumblr communities.
- Social engagement reporting
- Historical content analysis
- Competitor research
Tumblr share counts may vary depending on platform availability and indexing coverage.
The total number of recorded VK shares associated with the analysed URL.
VK shares represent content distribution activity through VK, a major social network primarily used in Russian-speaking markets.
integer
{
"vk": 303365
}Higher values indicate stronger engagement from VK audiences.
- Regional content analysis
- International social reporting
- Social popularity comparisons
VK share availability depends on publicly accessible platform data.
The total number of recorded Odnoklassniki shares associated with the analysed URL.
Odnoklassniki shares represent content distribution activity through the Odnoklassniki social network.
integer
{
"odnoklassniki": 1298
}Higher values indicate stronger engagement among Odnoklassniki users.
- Regional audience analysis
- Social engagement reporting
- Content popularity measurement
Availability may vary depending on platform indexing and publicly accessible share information.
Social share counts should be treated as engagement indicators rather than direct SEO ranking factors.
A high number of shares may indicate:
- Strong audience interest
- Effective content promotion
- Greater content visibility
- Potential referral traffic opportunities
However, social shares do not directly measure:
- Search engine rankings
- Backlink authority
- Organic traffic
- Conversion performance
Social share counts are collected from publicly available platform data.
Metric availability depends on:
- Social platform accessibility
- URL indexing status
- Platform-specific update frequency
- Changes to social network APIs or sharing systems
Counts may differ between platforms because each network tracks engagement differently.
Social share metrics are most useful when combined with:
- Backlink metrics
- Organic traffic data
- Content performance analytics
- SEO visibility metrics
- Engagement measurements
Recommended applications include:
- Identifying high-performing content
- Comparing competitor pages
- Evaluating content promotion strategies
- Building marketing dashboards
- Monitoring social distribution trends