reddit-competitor-analysis-api-skill
This skill helps users extract structured data from Reddit posts and comments via BrowserAct API. Agent should proactively apply this skill when users express needs like analyzing competitor mentions on Reddit, tracking brand sentiment in Reddit comments, extracting Reddit discussions for market research, finding popular Reddit posts by keywords, monitoring community feedback on specific topics, gathering user reviews from Reddit threads, searching for Reddit posts within a specific date range, sorting Reddit discussions by relevance or hotness, compiling nested Reddit comments for deep analys
npx skills add browser-act/skills --skill reddit-competitor-analysis-api-skill --agent claude-code
Same command for any agent — swap --agent for codex, cursor, copilot.
Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.
# Reddit Competitor Analysis API Skill ## 📖 Introduction This skill uses the BrowserAct Reddit Competitor Analysis API template to provide users with a one-stop Reddit data collection service. It can extract full post details and comments from Reddit search results. Just input search keywords and filtering conditions to directly get clean and usable Reddit data. ## ✨ Features 1. **No hallucinations, ensuring stable and precise data extraction**: Pre-set workflows avoid AI generative hallucinations. 2. **No CAPTCHA issues**: No need to handle reCAPTCHA or other verification challenges. 3. **No IP access restrictions or geofencing**: No need to handle regional IP limitations. 4. **Faster execution**: Compared to pure AI-driven browser automation solutions, task execution is faster. 5. **Extremely high cost-effectiveness**: Significantly reduces data acquisition costs compared to highly token-consuming AI solutions. ## 🔑 API Key Guide Before running, you must check the `BROWSERACT_API_KEY` environment variable. If it is not set, do not take any other actions; you should request and wait for the user to provide it collaboratively. **The Agent must inform the user at this time**: > "S
- 📖 Introduction
- ✨ Features
- 🔑 API Key Guide
- 🛠️ Input Parameters
- 🚀 Usage (Recommended)
- ⏳ Task Status Monitoring
- 🔧 OpenClaw Adaptation Guide
- 📊 Data Output Description
- ⚠️ Error Handling & Retry
Example invocation python3 -u ./scripts/reddit_competitor_analysis_api.py "keywords" "publication_date" "post_sort_by" "comment_sort_by" data_limit
What does the reddit-competitor-analysis-api-skill skill do?
This skill helps users extract structured data from Reddit posts and comments via BrowserAct API. Agent should proactively apply this skill when users express needs like analyzing competitor mentions on Reddit, tracking brand sentiment in Reddit comments, extracting Reddit discussions for market research, finding popular Reddit posts by keywords, monitoring community feedback on specific topics, gathering user reviews from Reddit threads, searching for Reddit posts within a specific date range, sorting Reddit discussions by relevance or hotness, compiling nested Reddit comments for deep analys
How do I install it?
Run `npx skills add browser-act/skills --skill reddit-competitor-analysis-api-skill --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.
Where does this skill come from?
From browser-act/skills, a repository with 5,160 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.
Is a popular skill a good skill?
Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.