# AI use cases for Social Media Research Skills (ScrapeCreators/social-media-research-skills) Repo: [ScrapeCreators/social-media-research-skills](https://github.com/ScrapeCreators/social-media-research-skills) | Use cases: 3 | Page: https://dedupedai.com/use-cases/scrapecreators-social-media-research-skills/ Social Media Research Skills is a set of agent skills powered by the ScrapeCreators API for finding outlier posts, mining comments, analyzing transcripts, tearing down competitors and ad libraries across major social platforms. This file holds every use case of this repo. Each one starts with a "## " heading and ends with its URL. - Find a creator's posts that beat their usual numbers: https://dedupedai.com/use-cases/scrapecreators-social-media-research-skills/find-a-creators-outlier-posts/ - Mine comments for objections and buying intent: https://dedupedai.com/use-cases/scrapecreators-social-media-research-skills/mine-comments-for-buying-intent/ - Tear down a competitor's active ads: https://dedupedai.com/use-cases/scrapecreators-social-media-research-skills/tear-down-competitor-ads/ ## How to find a creator's posts that beat their usual numbers with Social Media Research Skills Repo: [ScrapeCreators/social-media-research-skills](https://github.com/ScrapeCreators/social-media-research-skills) | Difficulty: Beginner | Time: 15 minutes | Basis: From the README Ask your agent to run the outlier-post-finder skill on any public creator and get the posts that beat their own baseline, plus the hooks and patterns behind them. **Who it is for:** A content marketer, creator or social media manager deciding what to post next and studying which formats work for others in the niche. **The problem:** Raw view counts mislead: a big account's average post looks like a hit, and you cannot see what made a small creator's post break out. **The outcome:** An outlier table judged against the creator's own normal performance, with repeatable patterns, hooks to reuse and links to each post. ### Steps 1. Install the skills: `npx skills add ScrapeCreators/social-media-research-skills` 2. Get a key at scrapecreators.com and set `export SCRAPECREATORS_API_KEY=sk_...` 3. Start your agent (Claude Code, Cursor, Codex, Gemini CLI and others work) 4. Ask, for example: Find the outlier posts for @starterstory on YouTube Shorts from the latest page of videos 5. Review the table and the patterns it pulled out 6. Follow up with creator-profile-teardown for a full playbook on that account ### Prompt to paste into your agent ```text Use the outlier-post-finder skill to find outlier posts for <@handle> on over the latest page of posts. Give me a table with views versus their baseline and links, then the three patterns and five hooks I should test. ``` ### Caveat Public data only; the skills do not reach logged-in or private content. Risk, credentials: The ScrapeCreators API key is billed per request, so keep it private and out of commits. Disclaimer: Third-party repos we don't own or vouch for. AI-generated use cases can be wrong: review everything and run at your own risk. Full text: https://dedupedai.com/disclaimer/ URL: https://dedupedai.com/use-cases/scrapecreators-social-media-research-skills/find-a-creators-outlier-posts/ ## How to mine comments for objections and buying intent with Social Media Research Skills Repo: [ScrapeCreators/social-media-research-skills](https://github.com/ScrapeCreators/social-media-research-skills) | Difficulty: Beginner | Time: 15 minutes | Basis: From the README Point your agent at a viral post and use the comment-mining skill to pull questions, objections, pain points and buying intent in the audience's exact words. **Who it is for:** A founder, copywriter or product marketer writing landing pages, FAQs or ads who wants real customer language, not guesses. **The problem:** Reading hundreds of comments by hand is slow, and summaries lose the exact phrases that make copy convert. **The outcome:** A voice of customer report with themes, verbatim quotes, objections, buying signals and content ideas, with links back to the source. ### Steps 1. Install with `npx skills add ScrapeCreators/social-media-research-skills` and set SCRAPECREATORS_API_KEY 2. Pick a post with lots of comments from your niche or a competitor 3. Ask: Mine the comments on this viral Instagram Reel. I want objections, questions, buying intent, and exact audience language 4. Check the quotes against the post to make sure they are verbatim 5. Feed the objections into your FAQ and the phrases into headlines 6. Repeat across several posts and ask for product-demand-research to validate an idea ### Prompt to paste into your agent ```text Run comment-mining on . Group comments into objections, questions, pain points and buying intent, quote each one verbatim with its link, and finish with five headline ideas using the audience's own words. ``` ### Caveat Comment access and volume vary by platform. Risk, credentials: The ScrapeCreators API key is billed per request, so keep it private. Disclaimer: Third-party repos we don't own or vouch for. AI-generated use cases can be wrong: review everything and run at your own risk. Full text: https://dedupedai.com/disclaimer/ URL: https://dedupedai.com/use-cases/scrapecreators-social-media-research-skills/mine-comments-for-buying-intent/ ## How to tear down a competitor's active ads with Social Media Research Skills Repo: [ScrapeCreators/social-media-research-skills](https://github.com/ScrapeCreators/social-media-research-skills) | Difficulty: Beginner | Time: 15 minutes | Basis: From the README Use the ad-library-teardown skill to analyze a competitor's active Meta, Google and LinkedIn ads and get their hooks, offers, CTAs and ideas to test. **Who it is for:** A performance marketer or founder planning paid campaigns who wants to know what competitors are running right now. **The problem:** Browsing ad libraries one ad at a time is tedious, and it is hard to see the messaging angles across platforms. **The outcome:** A teardown of messaging angles, hooks, offers and CTAs across platforms, with a list of test ideas for your own ads. ### Steps 1. Install with `npx skills add ScrapeCreators/social-media-research-skills` 2. Set your key: `export SCRAPECREATORS_API_KEY=sk_...` 3. Name the competitor and the platforms to cover 4. Ask: Tear down the active Facebook, Google, and LinkedIn ads for this competitor. Give me hooks, offers, CTAs, and what to test 5. Add competitor-social-research to compare their organic content with their ads 6. Turn the test ideas into a small ad plan with one variable per test ### Prompt to paste into your agent ```text Run ad-library-teardown on across Facebook, Google and LinkedIn. Summarise their main angles, list hooks, offers and CTAs with links to the ads, and propose five tests for our product . ``` ### Caveat Coverage depends on what each ad library makes public. Risk, credentials: The ScrapeCreators API key is billed per request, so keep it private. Disclaimer: Third-party repos we don't own or vouch for. AI-generated use cases can be wrong: review everything and run at your own risk. Full text: https://dedupedai.com/disclaimer/ URL: https://dedupedai.com/use-cases/scrapecreators-social-media-research-skills/tear-down-competitor-ads/