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Developer uses SocialListeningAPI and ChatGPT for LinkedIn product research

A developer has outlined a method for using SocialListeningAPI to extract and analyze LinkedIn posts for product research. This approach involves querying the API for specific keywords related to user needs, such as tool recommendations or pricing inquiries. The retrieved posts are then fed into ChatGPT, which is prompted to identify and categorize relevant mentions based on predefined criteria like stated problems, tool requests, or comparisons. The output includes structured data about the author, problem, named products, and a direct quote from the post, along with an inference and the source URL. AI

IMPACT Streamlines product research by automating the analysis of social media discussions for user needs and market insights.

RANK_REASON Describes a method for using existing tools to achieve a specific outcome.

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Developer uses SocialListeningAPI and ChatGPT for LinkedIn product research

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  1. dev.to — MCP tag TIER_1 English(EN) · Shash ·

    Use SocialListeningAPI as a LinkedIn Post API for ChatGPT Research

    <p>LinkedIn posts can contain detailed product questions, launch notes, hiring plans, and complaints about tools. Finding those posts by hand takes time, and copying a few links into ChatGPT does not make the process repeatable.</p> <p>We're going to use<a href="https://sociallis…