Instagram Profiles & Posts & Comments Datasets

We provide 3 types of Instagram datasets:

1) Instagram - Profiles Dataset:

Extracts business and non-business information from complete public profiles.
Allows filtering by hashtags, followers, account type, or engagement score.
Useful for sentiment analysis, brand monitoring, and influencer marketing.

Key Features:
-Username or handle of the Instagram account.
-Unique identifier for the Instagram account.
-Number of followers for the account.
-Total count of posts made by the account.
-Indicates whether the account is a business or professional account.
-Indicates whether the account is verified.
-Average engagement rate.
-External URLs linked in the profile.
And more!

Use Case:
-Influencer Marketing: Identify influencers based on follower count, engagement rate, and account verification status.
-Market Research: Analyze competitor profiles to understand their audience demographics and engagement strategies.
-Brand Monitoring: Track mentions of brand hashtags or external URLs to gauge brand visibility and sentiment.

2) Instagram - Posts Dataset:

Contains information on posts including URL, user, description, hashtags, comments, date posted, likes, attached media, and location.
Useful for analyzing user engagement, content trends, and audience interactions.

Key Features:
-Post URL.
-Username of the post creator.
-Post text description.
-Hashtags used in the post.
-Number of comments.
-Post publication date.
-Number of likes.
-URLs of attached photos/videos.
-Geographical location.

Use Case:
-Content Strategy Optimization: Analyze popular hashtags and content types to inform content creation strategies.
-Audience Engagement: Identify high-engagement posts to understand audience preferences and optimize engagement tactics.
-Trend Analysis: Track trends over time by analyzing post frequency and engagement metrics.

3) Instagram - Comments Dataset:

Comprises commenter username, comment date, content, likes received, number of replies, reply content, hashtags, tagged users, post URL, post user, comment ID, and post ID.
Valuable for analyzing user interactions and engagement on posts.

Key Features:
-Commenter username.
-Comment date.
-Comment content.
-Number of likes on the comment.
-Number of replies on the comment.
-URLs of attached photos/videos.
-Geographical location.
-Hashtags used in the comment.
-URLs of post and commenter profile.

Use Case:
-Community Management: Monitor comments to address customer inquiries, feedback, or complaints.
-Sentiment Analysis: Analyze comments to gauge audience sentiment towards specific topics or brands.
-Influencer Identification: Identify users who frequently engage with influencer
posts, potentially indicating brand advocates or collaborators.

Why Use Our Datasets?
1.Comprehensive Insights: Combine Instagram Profiles, Posts, and Comments datasets for a full view of activity.
2.Advanced Analytics Tools: Each dataset offers powerful analytics for deep market analysis.
3.Content Strategy Optimization: Analyze performance, hashtags, and engagement to refine content strategies.
4.Audience Understanding: Gain insights into audience preferences and demographics for targeted marketing.
5.Enhanced Brand Visibility: Leverage insights to boost brand visibility and connect with followers.

Note: This is a sample - for all datasets, please contact us.

搜集汇总

背景与挑战

背景概述

该数据集包含三类Instagram公开数据：用户档案（含粉丝数、认证状态等元数据）、帖子详情（含内容、互动量等）及评论数据（含互动指标）。适用于品牌监测、受众分析和内容策略优化等场景。