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i built a bot that scrapes linkedin comments and researchers the commentor
r/SideProject
8/14/2025
Content Summary
The post describes a bot developed by the author that scrapes LinkedIn comments and researches the commenters. The author is offering a free trial and is seeking user feedback. Comments show interest in the tool, but users are asking for more information and access.
Opinion Analysis
Mainstream opinion appears to be positive, with several users expressing interest in trying the bot. However, there is a clear need for more transparency and direct access to the tool. Some users are asking for the link, while others are requesting more details. There are no significant conflicting opinions, as the discussion remains focused on the tool's value and accessibility.
SAAS TOOLS
| SaaS | URL | Category | Features/Notes |
|---|---|---|---|
| N/A | N/A | N/A | No specific SaaS tools mentioned in the post or comments. |
USER NEEDS
Pain Points:
- Users are interested in testing the bot but do not have direct access to it.
- There is a desire for more transparency about the tool's functionality and usage.
Problems to Solve:
- Users want to explore LinkedIn comment data for research, networking, or business purposes.
- Users may be looking for ways to automate the process of analyzing LinkedIn interactions.
Potential Solutions:
- The bot itself is presented as a potential solution for automating LinkedIn comment analysis.
- The author is seeking feedback to improve the tool.
GROWTH FACTORS
Effective Strategies:
- Sharing the project on a relevant community (e.g., r/SideProject) to gain visibility and feedback.
- Offering a free trial to attract early users and gather insights.
Marketing & Acquisition:
- Leveraging Reddit communities to promote the side project.
- Engaging with users who express interest in the tool.
Monetization & Product:
- No explicit pricing model is mentioned, but offering a free version could help build user base and trust.
- The focus seems to be on product-market fit through user feedback.
User Engagement:
- Encouraging direct messages for further discussion.
- Engaging with comments to foster a sense of community around the project.