Social media dataset samples featuring thousands of records in total. All datasets were extracted using the Bright Data API.
url
: The URL of the page or post containing the commentspost_id
: Unique identifier for each postpost_url
: URL of the specific postcomment_id
: Unique identifier for each commentuser_name
: Name of the user who made the commentuser_id
: Unique identifier for each useruser_url
: URL of the user's profiledate_created
: Date and time when the comment was createdcomment_text
: The actual text content of the commentnum_likes
: Number of likes or reactions received by the commentnum_replies
: Number of direct replies to the commentattached_files
: Any files or attachments associated with the commentvideo_length
: Length of video content, if applicablesource_type
: Type of source (e.g., Facebook, external link)subtype
: Subcategory or specific type of the post or commenttype
: General category of the post or commentuser_posted
: Username of the post creatordescription
: Post text descriptionhashtags
: Hashtags used in the postnum_comments
: Number of commentsdate_posted
: Post publication datelikes
: Number of likesphotos
: URLs of attached photosvideos
: URLs of attached videoslocation
: Geographical locationlatest_comments
: Recent commentspost_id
: Unique post identifierdiscovery_input
: Discovery input values
And many more.
These are sample datasets and subsets derived from dozens of social media datasets (public data) containing millions of records.
- JSON, NDJSON, JSON Lines, CSV, or Parquet
- Optionally, files can be compressed to
.gz
- Email, API download, Webhook, Amazon S3, Google Cloud Storage, Microsoft Azure, Snowflake, SFTP
- Once, Daily, Weekly, Monthly, Quarterly, or Custom intervals
- Additional data points can be enriched based on specific requirements.
Get the full social media datasets
Get the full Instagram dataset
Leverage our social media datasets to identify influencers with significant social impact by analyzing metrics like engagement, brand affiliations, and follower demographics. Partner with those best suited to effectively promote your brand.
Gain insights into user sentiment by analyzing social media data. Monitor likes, shares, comments, hashtags, mentions, and other metrics to quickly identify shifts in popularity and brand perception.
Track online conversations across social networks to capture both positive and negative mentions using social media data. Stay proactive by responding to customer feedback, addressing concerns, and maintaining your brand's reputation.
The Bright Initiative provides free access to Web Scraper APIs and ready-to-use datasets for academic faculties, researchers, NGOs, and NPOs working on environmental or social causes. Submit your application here.