Social Media Dataset: Profile, Engagement & Sentiment Data for Enterprise Intelligence
A structured Social Media Dataset covering creator profiles, posts, engagement, hashtags, and sentiment across major platforms — built for marketing, research, and AI/ML teams that need decision-grade social media intelligence at scale.
- Structured & Normalized
- Historical Tracking
- Multi-Platform Coverage
- Deduplicated Records
- Analytics Ready
450M+
Social records indexed
30+
Social platforms covered
60+
Countries & markets
Daily
Engagement & profile refresh
What Is the WebDataInsights Social Media Dataset?
A Social Media Dataset is a structured collection of publicly available social data covering creator profiles, posts, engagement metrics, hashtags, and audience sentiment. The WebDataInsights Social Media Dataset assembles this information from major social platforms into a normalized, analytics-ready format that reflects how people, brands, and creators actually behave online.
Social platforms generate an enormous and constantly shifting volume of activity: new posts, evolving follower counts, trending hashtags, and shifting audience sentiment. Turning that raw activity into a usable Social Media Dataset requires consistent schemas, deduplication logic, and continuous re-collection, not a one-time export.
Marketing, research, and product teams use this Social Media Dataset to evaluate influencer partnerships, track brand and competitor mentions, measure content performance across platforms, monitor hashtag and trend velocity, and train AI models on real social media engagement data.
The dataset is organized into four specialized sub-datasets — each independently licensable or available as a unified social media dataset package — covering creator and profile data, post-level engagement, hashtag and content signals, and sentiment analysis.
Social Profile & Influencer Dataset
Structured profile-level data for accounts and creators: follower counts, account type, verification status, bio data, and audience composition, forming the foundation of any influencer dataset.
Social Media Engagement Dataset
Post-level engagement records covering likes, comments, shares, view counts, and engagement rate, tracked over time to reveal content and creator performance patterns.
Hashtag Dataset
Hashtag usage, mention tracking, and content categorization data that surfaces trending topics, campaign reach, and content themes across covered platforms.
Three Specialized Social Media Sub-Datasets
Each sub-dataset within the Social Media Dataset targets a specific use case in social media analytics, delivered in a normalized, schema-consistent structure ready for direct integration into your marketing, research, or AI infrastructure.
Creator & Influencer Profile Intelligence
Profile-level social media data covering accounts and creators across covered platforms, structured for influencer discovery, audience research, and creator benchmarking — the core of any influencer dataset.
- Username, display name & profile URL
- Follower, following & post counts
- Account type: personal, business, or creator
- Verification status
- Bio text & declared category
- Audience growth trend over time
- Creator content category classification
- Estimated audience geography & language
- Historical follower snapshots
Post-Level Engagement & Performance Data
Structured post and engagement records covering likes, comments, shares, and view activity — built for content performance analysis, campaign measurement, and creator benchmarking workflows.
- Post text, media type & publish date
- Like, comment, share & view counts
- Calculated engagement rate per post
- Post format: image, video, carousel, or text
- Posting frequency & timing patterns
- Engagement trend over the post lifecycle
- Top-performing content identification
- Cross-platform engagement comparison
Hashtag, Mention & Trend Intelligence
A dedicated hashtag dataset tracking hashtag usage, mention activity, and content categorization — purpose-built for trend discovery, campaign reach tracking, and hashtag performance analysis.
- Hashtag usage volume & velocity over time
- Associated posts & creators per hashtag
- Brand and account mention tracking
- Content category & topic classification
- Trending hashtag identification by region
- Campaign-specific hashtag reach measurement
Data Schema & Field Reference
Every sub-dataset within the Social Media Dataset ships with a standardized schema and full field documentation. Below are the core fields across the profile, engagement, and content datasets — delivered in your chosen format, ready for pipeline integration.
Profile & Influencer Schema
Post & Engagement Schema
Sentiment & Hashtag Schema
Illustrative Social Media Dataset Record
The record below is an illustrative example built to demonstrate the schema. It does not represent a real account, creator, or individual.
{
"profile_id": "sp_9f21ab",
"platform": "instagram",
"username": "studio.northgrain",
"display_name": "Northgrain Studio",
"follower_count": 184320,
"account_type": "creator",
"verification_status": true,
"creator_category": "lifestyle_design",
"latest_post": {
"post_id": "pt_5c8e14",
"content_type": "reel",
"like_count": 22140,
"comment_count": 618,
"share_count": 1204,
"engagement_rate": 0.132,
"hashtag_list": ["studiotour", "slowliving"],
"sentiment_label": "positive",
"sentiment_score": 0.81
},
"language": "en",
"snapshot_date": "2026-09-18"
}* Illustrative example only. Names, counts, and identifiers are fictional and do not correspond to any real account. Request a full sample export →
Social Media Data Coverage at Scale
The Social Media Dataset spans creator and brand profiles, individual posts, hashtag activity, comment threads, and engagement history, collected on a recurring basis through Social Media Data Scraping Services from publicly available social platform data.
Historical snapshots allow analytics teams to track follower growth, engagement trend lines, and sentiment shifts over time rather than relying on a single point-in-time export. Coverage depth within the dataset can be scoped by platform, region, creator category, or campaign hashtag set.
Social Platforms Covered
Coverage spans major platforms across visual, short-form video, and professional networks. Platform scope for any engagement can be tailored to your target audience and markets.
Profiles & posts
TikTok
Short-form video
YouTube
Channels & videos
Pins & boards
Pages & posts
X (Twitter)
Posts & mentions
Threads & comments
Company & creator pages
Snapchat
Public Stories, Spotlight
Threads
Threads, Profiles & Replies
Bluesky
Posts & Feeds
ShareChat
Regional Social
Twitch
Streams, Clips & Channels
Moj / Josh
India Short-form
20+ More
Custom on request
Also covers audience demographics, engagement metrics, content performance, hashtags, sentiment insights, brand mentions, and campaign trends across major social networks. Request custom platform coverage →
How Enterprises Use the Social Media Dataset
This Social Media Dataset supports a range of marketing, research, and product use cases beyond simple metrics tracking.
Influencer Marketing Intelligence
Brands vetting creator partnerships need audience quality and engagement history, not just follower counts, which can be inflated or inactive.
- Score creators using an influencer dataset built on engagement rate, not follower size alone
- Flag suspicious follower growth patterns before campaign spend
- Benchmark creator performance against category peers
Brand & Competitor Monitoring
Marketing teams need visibility into how their brand and competitors are discussed across platforms in near real time.
- Track brand mention volume and sentiment across platforms
- Compare share of voice against named competitors
- Detect emerging PR issues from comment sentiment shifts
Consumer Sentiment Monitoring
Product and research teams need to understand how consumers actually feel about a category, not just what they post.
- Aggregate social sentiment data by topic or product category
- Track sentiment trend lines around launches or announcements
- Compare sentiment across regions and languages
Content Performance Analysis
Content teams need to know which formats, topics, and posting patterns actually drive engagement.
- Compare engagement rate across content types and formats
- Identify optimal posting times from historical patterns
- Benchmark content performance against category norms
Creator Discovery & Benchmarking
Finding the right creators at scale requires structured creator analytics data, not manual profile review.
- Filter creators by category, audience size, and engagement rate
- Rank creators using a repeatable creator analytics dataset framework
- Track creator growth trajectory over multiple snapshots
Industries Using Social Media Data
Structured social data supports decision-making across a wide range of sectors.
Marketing & Advertising
Plans influencer and campaign strategy using engagement and audience data.
Consumer Brands
Monitors brand sentiment and product mentions across social platforms.
Media & Entertainment
Tracks audience reaction and creator partnerships around content releases.
Retail & E-commerce
Analyzes social commerce signals and influencer-driven product interest.
Market Research
Uses sentiment and engagement data as a input for category and trend studies.
PR & Communications
Monitors mention volume and sentiment to manage brand reputation.
Financial Services
Tracks public sentiment around brands and market-relevant topics.
Travel & Hospitality
Evaluates destination and creator content trends across platforms.
Technology
Trains AI models and builds analytics products on structured social data.
Social Media Data at Scale
Access comprehensive social media data across platforms, conversations, trends, engagement, audience insights, and content performance worldwide. Drive smarter business decisions with accurate, real-time, and continuously updated data.
Start Your ProjectFlexible Delivery Formats
Your social media data arrives in the format your engineering and analytics teams already work with — no transformation overhead, no internal wrangling required on day one.
JSON / JSONL
API integration & streaming pipeline ready
CSV / TSV
Direct BI tool & spreadsheet compatibility
Parquet
Columnar storage for big data & ML workflows
REST API
Real-time query with retailer, SKU & category filters
Cloud Storage
S3, GCS, or Azure Blob scheduled delivery
Custom Pipeline
SFTP, webhook, or data warehouse push
Delivery cadence: one-time export · daily · weekly · real-time. All formats include full schema documentation, field dictionaries, and sample records across multiple retailers and markets.
Why Use the WebDataInsights Social Media Dataset
We specialize in social media data intelligence, delivering structured insights across conversations, content, audiences, and engagement. Built for brands, researchers, and enterprises where data accuracy and actionable insights matter.
Structured & Consistent Schemas
Every record follows a documented and consistent schema across platforms, making joins, comparisons, and downstream analysis easier without extensive manual cleanup.
Historical Tracking
Follower, engagement, and sentiment history help you monitor changes over time, giving you a clearer view of trends rather than isolated snapshots.
Multi-Platform Analysis
Normalized fields across platforms make it easier to compare creators, content performance, audience engagement, and campaigns across different social networks.
Scalable Collection
Reliable collection infrastructure supports large creator lists, extensive campaign hashtag sets, and high-volume data requirements without repetitive manual effort.
Ready-to-Use Analytics
Deduplicated and pre-processed records minimize the engineering work required, allowing teams to move faster from raw data to meaningful analysis.
Custom Coverage
Customize dataset coverage by platform, region, creator category, hashtag set, or other requirements to align the data with your specific business use case.
Frequently Asked Questions
Answers to the questions brands, marketing teams, social media analysts, data engineers, and enterprise buyers ask most often about our social media datasets.
A Social Media Dataset is a structured collection of publicly available social data, including creator profiles, posts, engagement metrics, hashtags, and sentiment signals. It organizes raw social platform activity into a consistent schema that analytics and marketing teams can query, join, and model directly.
The dataset includes profile and creator data, post-level engagement metrics, hashtag and mention tracking, and sentiment scoring. Each of these is delivered as a distinct sub-dataset with its own schema, and all sub-datasets can be combined for a fuller view of social activity.
Coverage includes Instagram, TikTok, YouTube, Facebook, X, LinkedIn, Pinterest, and Reddit. Platform scope for any project can be narrowed or expanded based on your target audience and market requirements.
Yes. The Social Profile & Influencer Dataset functions as a standalone influencer dataset, covering follower counts, account type, verification status, content category, and audience composition for creators across covered platforms.
Engagement fields include like count, comment count, share count, view count, and a calculated engagement rate per post. These metrics form the basis of the Social Media Engagement Dataset and support content and creator performance analysis.
Yes. Hashtag usage, associated posts, and trend velocity are tracked as part of the Hashtag Dataset. This includes campaign-specific hashtag tracking and regional trending hashtag identification.
Yes. The Social Sentiment Dataset provides sentiment classification and numeric sentiment scoring for post text and comment threads, enabling brand monitoring and consumer sentiment tracking across topics and campaigns.
Yes. Enterprise clients can request custom coverage by platform, region, creator category, follower size range, hashtag or campaign scope, and refresh frequency. Custom field mappings and delivery schemas are also available.
Data is delivered in CSV, JSON, or Excel for batch use, or through a REST API for real-time access. Direct delivery to cloud storage or data warehouses is available for enterprise accounts.
Common uses include influencer marketing evaluation, brand and competitor monitoring, campaign performance measurement, consumer sentiment tracking, and training AI models on real social media engagement data.
- Influencer marketing intelligence and creator vetting
- Brand and competitor social monitoring
- Campaign and hashtag performance analysis
- Consumer sentiment and market research
Ready to Evaluate the Social Media Dataset?
Request a free sample export tailored to your target platforms, creator categories, and delivery format. Our team will provide a representative sample within 48 hours.
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Social Media Campaign Analysis
Measuring campaign reach and effectiveness requires connecting hashtag usage, creator participation, and engagement outcomes.