Instagram Profiles & Posts & Comments Datasets

We provide 3 types of Instagram datasets:

**1) Instagram - Profiles Dataset:**<br/>Extracts business and non-business information from complete public profiles.<br/>Allows filtering by hashtags, followers, account type, or engagement score.<br/>Useful for sentiment analysis, brand monitoring, and influencer marketing.

- Key Features:<br/>-Username or handle of the Instagram account.<br/>-Unique identifier for the Instagram account.<br/>-Number of followers for the account.<br/>-Total count of posts made by the account.<br/>-Indicates whether the account is a business or professional account.<br/>-Indicates whether the account is verified.<br/>-Average engagement rate.<br/>-External URLs linked in the profile.<br/>And more!
- Use Case:<br/>-Influencer Marketing: Identify influencers based on follower count, engagement rate, and account verification status.<br/>-Market Research: Analyze competitor profiles to understand their audience demographics and engagement strategies.<br/>-Brand Monitoring: Track mentions of brand hashtags or external URLs to gauge brand visibility and sentiment.

**2) Instagram - Posts Dataset:**<br/>Contains information on posts including URL, user, description, hashtags, comments, date posted, likes, attached media, and location.<br/>Useful for analyzing user engagement, content trends, and audience interactions.

- Key Features:<br/>-Post URL.<br/>-Username of the post creator.<br/>-Post text description.<br/>-Hashtags used in the post.<br/>-Number of comments.<br/>-Post publication date.<br/>-Number of likes.<br/>-URLs of attached photos/videos.<br/>-Geographical location.
- Use Case:<br/>-Content Strategy Optimization: Analyze popular hashtags and content types to inform content creation strategies.<br/>-Audience Engagement: Identify high-engagement posts to understand audience preferences and optimize engagement tactics.<br/>-Trend Analysis: Track trends over time by analyzing post frequency and engagement metrics.

**3) Instagram - Comments Dataset:**<br/>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.<br/>Valuable for analyzing user interactions and engagement on posts.

- Key Features:<br/>-Commenter username.<br/>-Comment date.<br/>-Comment content.<br/>-Number of likes on the comment.<br/>-Number of replies on the comment.<br/>-URLs of attached photos/videos.<br/>-Geographical location.<br/>-Hashtags used in the comment.<br/>-URLs of post and commenter profile.
- Use Case:<br/>-Community Management: Monitor comments to address customer inquiries, feedback, or complaints.<br/>-Sentiment Analysis: Analyze comments to gauge audience sentiment towards specific topics or brands.<br/>-Influencer Identification: Identify users who frequently engage with influencer<br/>posts, potentially indicating brand advocates or collaborators.

<p><br/></p>

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

<p><br/></p>

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

**本数据集包含三类Instagram相关数据集：**

**1. Instagram 用户资料数据集：**
从完整公开的用户资料中提取商业与非商业相关信息，支持通过话题标签、粉丝数、账号类型或互动得分进行筛选，可应用于情感分析、品牌监测与网红营销场景。

- 核心特性：
- Instagram账号的用户名或账号标识
- Instagram账号的唯一标识符
- 账号粉丝数
- 账号发布的帖子总数
- 标注账号是否为商业或专业账号
- 标注账号是否已认证
- 平均互动率
- 资料中绑定的外部链接
- 等更多维度

- 应用场景：
- 网红营销：基于粉丝数、互动率及账号认证状态筛选合作网红
- 市场调研：分析竞品账号资料，以了解其受众人口统计特征与互动策略
- 品牌监测：追踪品牌相关话题标签或外部链接的提及情况，以评估品牌曝光度与受众情感倾向

**2. Instagram 帖子数据集：**
收录帖子相关信息，包括帖子链接、发布者、文案、话题标签、评论、发布时间、获赞数、附属媒体及地理位置，可用于分析用户互动、内容趋势与受众交互行为。

- 核心特性：
- 帖子链接
- 帖子发布者的用户名
- 帖子文案
- 帖子使用的话题标签
- 评论数
- 帖子发布时间
- 获赞数
- 附属图片/视频链接
- 地理位置

- 应用场景：
- 内容策略优化：分析热门话题标签与内容类型，为内容创作提供参考
- 受众互动分析：通过高互动量帖子洞察受众偏好，优化互动运营策略
- 趋势分析：通过分析帖子发布频率与互动指标，追踪长期内容趋势

**3. Instagram 评论数据集：**
包含评论者用户名、评论时间、评论内容、获赞数、回复数、回复内容、话题标签、提及用户、帖子链接、帖子发布者、评论ID及帖子ID，可用于分析帖子的用户交互与互动情况。

- 核心特性：
- 评论者用户名
- 评论时间
- 评论内容
- 评论获赞数
- 评论回复数
- 附属图片/视频链接
- 地理位置
- 评论使用的话题标签
- 帖子链接与评论者个人资料链接

- 应用场景：
- 社区运营管理：监控评论内容，及时响应客户咨询、反馈与投诉
- 情感分析：通过评论分析受众对特定话题或品牌的情感倾向
- 潜在合作对象挖掘：识别频繁互动网红帖子的用户，这类用户可能成为品牌拥护者或合作伙伴

**<br/><br/>**

**为何选择本系列数据集？**
1. 全面洞察：整合Instagram用户资料、帖子与评论数据集，可完整掌握平台活动全貌
2. 高级分析工具：单数据集均配备强大分析能力，支持深度市场调研
3. 内容策略优化：通过分析内容表现、话题标签与互动数据，优化内容创作策略
4. 受众洞察：深入了解受众偏好与人口统计特征，助力精准营销
5. 提升品牌曝光：依托分析洞察提升品牌曝光度，强化与粉丝的连接

**<br/><br/>**

注：本示例仅为演示样例，如需获取完整数据集，请与我们联系。

搜集汇总

背景与挑战

背景概述

该数据集包含Instagram的个人资料、帖子和评论三类数据，覆盖了从用户信息到内容互动的全方位信息，适用于市场研究、品牌监测、影响者营销和内容策略优化等多种应用场景。