Export Instagram product feedback into Google Sheets
Use EmbedSocial's Instagram product feedback agent to turn Instagram mentions, comments, and UGC captions into structured product feedback your team can review.
One connection. Runs on your live EmbedSocial data.
What does it do?
Connect EmbedSocial with Claude or ChatGPT and Google Sheets to create an agent that reviews Instagram content and extracts product feedback. The agent looks for complaints, feature requests, confusion points, praise, repeated questions, and product mentions, then exports everything into a spreadsheet.
Useful for
- Mining Instagram product feedback: find useful customer comments inside social content.
- Sharing feedback with product teams: export themes, examples, and counts into Google Sheets.
- Finding recurring customer issues: spot repeated complaints, questions, and product requests.
How to export Instagram product feedback into Google Sheets
- Create your EmbedSocial account. Sign up for a free EmbedSocial trial to connect your social sources and turn on the MCP.
- Connect your Instagram sources in EmbedSocial. Add mentions, hashtags, account posts, or UGC sources you want to analyze.
- Connect Google Sheets in your AI tool. Make sure your AI environment can create or update a spreadsheet.
- Set up the EmbedSocial MCP in Claude or ChatGPT. Paste the MCP URL into Claude or ChatGPT and authorize access with your EmbedSocial account.
- Run the prompt. Ask Claude or ChatGPT to extract product feedback and export it into Google Sheets.
Note: Depending on the connectors you are using, you may be prompted to authenticate your platform connections by logging into your accounts.
Real-world use case
Imagine customers often mention your products in Instagram captions and comments, but that feedback never reaches your product team. Instead of collecting it manually, you ask Claude or ChatGPT:
Using the EmbedSocial MCP, pull Instagram mentions and UGC posts from [source]. Extract product feedback, complaints, feature requests, recurring questions, and praise. Group the feedback by theme, count how often each theme appears, include example posts, and export the results into Google Sheets.
The agent reviews the Instagram content in EmbedSocial, identifies useful feedback, and creates a spreadsheet your product and marketing teams can use.
Prefer to build this into your own app instead of running it from a prompt? The same posts, mentions, reviews and widget analytics are available through the social media API.
More Analytics automations
Send LinkedIn Mentions to Slack
Using the EmbedSocial MCP, pull LinkedIn mentions of our company page from [widget] posted in the last 24 hours. For each mention, write a one-line summary and include the author, sentiment, and post link. Flag any negative mentions or questions that need a reply. Post the results to the #[channel] Slack channel.
Track LinkedIn Mentions in Google Sheets
Using the EmbedSocial MCP, pull LinkedIn mentions of our company page from [widget] for the last [30] days. For each mention, log the author, date, post text, link, sentiment, and main theme. Export the results into Google Sheets with a mentions log tab and a summary tab showing weekly mention volume, sentiment breakdown, and top themes.
Analyze LinkedIn Post Performance in Google Sheets
Using the EmbedSocial MCP, pull posts from our LinkedIn company page in [widget] for the last [90] days. Pull available website widget post clicks, icon clicks, lightbox opens, and CTA clicks for the same period, with one row per day. Keep the company post inventory separate from widget-level metrics. Do not infer per-post LinkedIn performance or posting-time recommendations from widget totals. Export the results into Google Sheets with a raw data tab, a widget metrics tab, and a summary with three recommendations.
Put your social content to work from any AI tool
EmbedSocial is the social media automation platform for UGC and reviews: connect the MCP, then run any workflow from a prompt.