Top 5 Social Media Datasets

We compared five leading social media data providers, focusing on the types of social data they offer and the platforms they include.

For clarity, these providers fall into two groups:

1. Content-level social media data (posts, comments, engagement)
2. Profile- or identity-level data (social handles, professional profiles, company info).

Platform coverage of social media dataset providers

Social media content datasets

These vendors deliver raw or enriched content (Posts, Comments, Engagement).

• Providers: Bright Data, Oxylabs.
• Best for: IA/ML training, real-time trend spotting, and Agentic AI reasoning.

Social profile and identity datasets

These vendors focus on public profile information and professional history.

• Social media account URLs/handles (LinkedIn, Facebook, Twitter/X, Instagram, GitHub, etc.)
• Professional and demographic data
• Employment and education history
• Company–employee relationship data
• Providers: People Data Labs (PDL), Coresignal, Cognism.
• Best for: CRM enrichment, B2B sales intelligence, and HR tech.

The best social media dataset providers

Bright Data is a leading public web data platform with 31 specialized social media datasets covering major platforms such as Instagram, Facebook, TikTok, LinkedIn, Reddit, Pinterest, Quora, Bluesky, and X (formerly Twitter). 

Types of social media data included:

Bright Data’s marketplace indicates three primary data layers. These dataset types appear across platforms such as Instagram, TikTok, LinkedIn, and Reddit.

1. User profiles:

• Username/profile name
• Bio/description
• Followers / following / subscriber counts
• Engagement metrics (avg. likes, comments, shares)
• Page/business account metadata
• Account categories (creator, brand, business, etc.)

2. Posts:

• Post text, captions, or titles
• Media metadata (image/video content)
• Hashtags, mentions, links
• View counts, like counts, share counts
• Publishing timestamps
• Engagement ratios
• Topic fields and content categories

Examples from the marketplace include:

• Instagram: Posts
• X (Twitter): Posts
• Facebook: Posts by Profile URL
• TikTok: Posts

3. Comments:

• Comment text
• Commenter profile metadata
• Likes/reactions
• Thread/reply structure
• Comment timestamps
• Engagement metrics for discussion activity

Delivery and format

• Bulk datasets (CSV, JSON, NDJSON, Parquet)
• API endpoints for continuous or real-time pulls
• Cloud delivery options for large dataset integrations

Pricing

• Dataset-based pricing (one-time or subscription)
• API usage-based pricing for ongoing data collection

Oxylabs provides custom datasets for YouTube, including metadata, transcripts, and 720p+ resolution, to support training and fine-tuning modelli di IA. Unlike Bright Data’s marketplace, which offers ready-to-download data, Oxylabs emphasizes on-demand data collection.

Types of social media data included

1. User profiles

• Typically supports the collection of:
• Username/display name
• Bio/description
• Followers, following, subscriber counts
• Location fields (when publicly available)
• Profile category (creator, business, athlete, entertainer, etc.)
• Public URLs, profile links, and external site references

2. Posts and content objects

Typical fields included:

• Post text, captions, or titles
• Media metadata (image, carousel, thumbnail, video indicators)
• View counts, likes counts, and favorites
• Hashtags, mentions, tagged profiles
• Post URLs and identifiers
• Posting timestamps
• Engagement rates (calculated or extracted)

3. Comments and discussion data

• Using post-level endpoints, Oxylabs retrieves:
• Comment text
• Comment author name/handle
• Reactions, likes, upvotes
• Thread/reply depth
• Comment timestamps
• Comment IDs + parent IDs (thread structure)

Delivery and format

• Delivered as CSV, JSON, or Parquet
• Stored in client’s S3 / GCS / Azure buckets
• Weekly, daily, hourly, or real-time refresh

Pricing

• Custom pricing
• Often based on platform count, refresh frequency, and dataset size

People Data Labs is a profile and identity-enrichment data provider, not a social-media content dataset provider.

PDL focuses on person and company data, including social profile information used for enrichment and identity resolution. Its person data page states that its Enrichment API can use data points such as name, location, email, phone, education, work, and social profile information to look up profiles.

Unlike Bright Data, PDL is not positioned as a source of raw social media posts, comments, videos, photos, threads, likes, or engagement datasets. Its documented schema is oriented around person-level records, profile fields, employment, education, contact data, and associated social profiles.

Social media sites PDL covers (profile-level)

PDL supports:

• LinkedIn
• Facebook
• Twitter/X
• Instagram
• GitHub
• Quora
• Pinterest
• YouTube (as a social link on profiles)

Delivery and format

• APIs: Person Enrichment API, Person Search API, Bulk Person Enrichment API.
• Bulk dataset licenses: Data can be delivered via S3, Snowflake, Azure, GCP, or direct download.
• Schema documentation: Available Person Schema, field bundles, and field availability tables.

Pricing

• API credit-based pricing.
• Bulk dataset licensing: subset datasets (e.g., Email Dataset, Consumer Social Dataset, etc) available under licensed terms.
• Free trial: They offer a gratuito tier (e.g., 100 API calls/month) for testing.

Coresignal recently launched its Employee Posts API to search for content posted by professionals on platforms like Reddit.

Unlike social media data sources that primarily focus on content, Coresignal is dedicated to providing detailed profile-level and organizational data, with limited coverage of platforms like TikTok, Instagram, and Facebook.

Types of data provided

1. User profiles

Coresignal aggregates public user profiles from platforms such as:

• Reddit (user profiles, metadata)
• GitHub (developer profiles, repository metadata)
• StackOverflow (user profiles, activity stats)
• Professional networking sites (public employment/education fields)

Typical profile fields include:

• Username
• Display name
• Bio/about section
• Profile links
• Activity metrics (karma score, commit counts, reputation, etc.)
• Location fields (when publicly available)
• Skills, technologies, topics of interest

2. Company and organizational data

Coresignal also specializes in:

• Company profiles
• Employee lists
• Funding rounds (when public)
• Industry and company categorization
• Company–employee graph data

3. Creator and influencer metadata (limited)

Coresignal provides metadata for:

• YouTube creators
• Instagram creator profiles (public metadata)

Delivery and format

Coresignal provides data through:

• Bulk datasets (JSON, Parquet, CSV)
• Continuous data updates (weekly/monthly)
• API access (for subsets of data)

Platforms covered

Public social / UGC / tech platforms:

• Reddit
• GitHub
• StackOverflow
• Other developer and tech communities

Professional and business websites:

• Corporate websites
• Company registries
• Public business directories

Creator platforms (metadata):

• YouTube
• Instagram

No raw content platforms (posts/comments):

• TikTok, Facebook, Twitter/X: Not supported for content-level extraction

Pricing model

• Dataset licensing (one-time or subscription)
• Pricing based on:
  • Dataset size
  • Fields included
  • Update frequency
  • Data refresh volume
• No usage-based scraping billing (since Coresignal sells data, not scraping requests)

Cognism positions itself as a Software-as-a-Service (SaaS) and data provider, rather than a scraper or a marketplace for datasets. There are no consumer-platform datasets (such as TikTok or Instagram); the focus is solely on professional and work-related identity data.

Cognism has updated its data processing to include intent signals, helping sales teams identify which companies are researching specific social media technologies.

Types of data provided

1. Professional profiles

While Cognism does not deliver raw social media posts or comments, it does include public social profile URLs, typically most commonly LinkedIn. Cognism keeps an extensive database of business professionals, including:

• Full name
• Job title & seniority
• Employment history
• Company affiliation
• LinkedIn-style role metadata
• Work experience timeline
• Skills & industry classification

2. Contact and enrichment data

Cognism’s business model mainly focuses on:

• Verified business emails
• Business phone numbers (with verification levels)
• GDPR-compliant contact data
• Territory-based coverage

3. Company data

Cognism provides structured company datasets, such as:

• Company size, industry, revenue band
• Hiring insights
• Technology stack signals
• Company growth indicators
• Employee counts & org structure

Delivery and format

Unlike Bright Data or Oxylabs, Cognism takes a different approach to data. Instead of selling downloadable datasets of posts or large raw data files, Cognism provides its data through a more tailored, accessible approach that better suits your needs.

• Web platform (dashboard)
• API for enrichment & lookups
• CRM integrations (Salesforce, HubSpot, Outreach, etc.)
• Periodic bulk data exports (for enterprise customers)

Platforms covered

Cognism does not extract full social media content, but it does incorporate:

Professional network profiles:

• LinkedIn-style data (public attributes)

Company-level platforms:

• Corporate websites
• Job boards
• Business registries
• Tech stack intelligence databases

Pricing model

Cognism operates on:

• Annual subscription contracts
• API usage tiers for enterprise clients

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@misc{karatas2026,
  author = {Karatas, Gulbahar},
  title  = {{Top 5 Social Media Datasets}},
  year   = {2026},
  month  = may,
  howpublished    = {\url{https://aimultiple.com/social-media-datasets}},
  note   = {AIMultiple. Consultato il 18 maggio 2026}
}

Registro delle modifiche

1 aggiornamenti

2026

1. 12 feb

   Aggiunta l'API Employee Posts di Coresignal alla descrizione del prodotto Coresignal.

Gulbahar Karatas

Analista di settore

Segui

Gülbahar è un'analista di settore di AIMultiple specializzata nella raccolta di dati web, nelle applicazioni dei dati web e nella sicurezza delle applicazioni.

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