reddit

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Research Reddit discussions with high signal using scrape_reddit_leads and scrape_reddit — pain points, intent discovery, and trend tracking. Use when the user wants to mine subreddits for leads, find threads worth replying to, or track what a community says about a topic.

AI & Automation 86 stars 15 forks Updated 2 weeks ago MIT

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Quality Score: 88/100

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Skill Content

# Reddit Research Use these tools in this order for research quality: ## Requirements - **Hyper MCP installed and connected.** [https://app.hyperfx.ai/mcp](https://app.hyperfx.ai/mcp) - **Reddit scraper toolkit** enabled at [https://app.hyperfx.ai/apps](https://app.hyperfx.ai/apps). 1. `scrape_reddit_leads` (precision first) 2. `scrape_reddit` (expand recall second) ## Default Workflow ### Step 1: Precision pass with `scrape_reddit_leads` Start with focused keyword + subreddit pairs: - `searches`: list of `{ "keyword": "...", "subreddit": "..." }` - `hours_back`: set a clear recency window - `search_posts=true` - `search_comments=true` only when comment evidence is needed - `sort="new"` for monitoring or `sort="top"` for stable discussions - `negative_keywords` to suppress spam/noise Use 1-3 specific keywords first. Avoid broad single words. ### Step 2: Expand with `scrape_reddit` If precision results are too narrow: - run `scrape_reddit` with subreddit `start_urls` - add adjacent keyword variants in `searches` - tune `sort` and `time` for recency vs quality - keep `skip_comments=true` when only post-level signal is needed ## Query Quality Rules - Prefer scoped subreddits before global search. - Include negative filters (e.g. `onlyfans`, `porn`, `nsfw`, `promo`, `buy now`) when results are noisy. - Increase specificity before increasing `max_items`. - If results are sparse, widen subreddits and add semantically related keywords. ## Output Requirements Return: ...

Details

Author
hyperfx-ai
Repository
hyperfx-ai/marketing-skills
Created
4 months ago
Last Updated
2 weeks ago
Language
Python
License
MIT

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