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Reddit Competitor Analysis Api Skill

OrganizationPopular
browser-act
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 analysis, building a structured dataset of Reddit conversations, discovering trending topics in specific subreddits, or monitoring social media activity for specific brands on Reddit.

Overview

Publisherbrowser-act
Repositoryskills
Skill namereddit-competitor-analysis-api-skill
Stars
6.1K
Forks
310
Bundled files
1
LicenseMIT
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • 1 bundled files

    Scripts, templates, and references the model can read while it works. Files are read-only and never executed.

  • Open source

    Published by browser-act on GitHub. Read the source before you install it.

Installation

Install the Reddit Competitor Analysis Api Skill AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
    https://github.com/browser-act/skills/tree/main/solutions/social-listening/reddit-competitor-analysis-api-skill
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/browser-act/skills.git /tmp/skills
mkdir -p .claude/skills
cp -r /tmp/skills/solutions/social-listening/reddit-competitor-analysis-api-skill .claude/skills/reddit-competitor-analysis-api-skill
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Reddit Competitor Analysis Api Skill in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Reddit Competitor Analysis Api Skill on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Reddit Competitor Analysis Api Skill is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

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:

"Since you have not configured the BrowserAct API Key, please go to the BrowserAct Console to get your Key first."

🛠️ Input Parameters

When calling the script, the Agent should flexibly configure the following parameters based on user needs:

  1. Keywords (Search keywords)

    • Type: string
    • Description: Search keywords for Reddit posts.
    • Example: openclaw
  2. Publication_date (Publication date)

    • Type: string
    • Description: Filter posts by publication date range.
    • Options: All time, Past year, Past month, Past week, Today, Past hour
    • Default: Past week
  3. Post_sort_by (Search sort)

    • Type: string
    • Description: Sort Reddit post search results by selected criteria.
    • Options: Relevance, Hot, Top, New, Comment count
    • Default: Relevance
  4. Comment_sort_by (Comment sort)

    • Type: string
    • Description: Sort extracted comments by.
    • Options: Best, Top, New, Controversial, Q&A
    • Default: Best
  5. Data_limit (Comments per post)

    • Type: number
    • Description: Maximum number of comments to extract per post.
    • Default: 10

🚀 Usage (Recommended)

The Agent should execute the following independent script to achieve "one-line command to get results". Note that the script path ./scripts/... is relative to this skill's directory:

bash
# Example invocation
python3 -u ./scripts/reddit_competitor_analysis_api.py "keywords" "publication_date" "post_sort_by" "comment_sort_by" data_limit

⏳ Task Status Monitoring

Since this task involves automated browser operations, it may take a long time (several minutes). The script will continuously output status logs with timestamps (e.g., [14:30:05] Task Status: running) while running. Agent Must Know:

  • While waiting for the script to return results, please keep an eye on the terminal output.
  • As long as the terminal is still outputting new status logs, it means the task is running normally. Please do not mistakenly judge it as a deadlock or unresponsiveness.
  • Only if the status remains unchanged for a long time or the script stops outputting and no result is returned, you can consider triggering the retry mechanism.

🔧 OpenClaw Adaptation Guide

Since BrowserAct tasks may take a long time to run (5-20 minutes), when the Agent executes in the OpenClaw environment, it needs to:

  1. Run in background mode (using JSON parameters for exec tool):

    • command: "python3 -u ./scripts/reddit_competitor_analysis_api.py ..."
    • background: true
    • timeout: 1800
  2. Or increase yieldMs:

    • command: "python3 -u ./scripts/reddit_competitor_analysis_api.py ..."
    • yieldMs: 600000
    • timeout: 1800
  3. Use process poll to monitor:

    • action: "poll"
    • sessionId: "xxx"
    • timeout: 300000

📊 Data Output Description

After successful execution, the script will directly parse and print the results from the API response. The results include:

  • post_title: Full post title
  • publish_time: Post publication time
  • like_count: Number of upvotes on the post
  • comment_count: Total number of comments
  • publish_channel: Subreddit where the post was published
  • comment_author: Username of the commenter
  • comment_time_utc: Comment timestamp
  • comments: Full comment text
  • comment_upvotes: Number of upvotes on the comment
  • comment_level: Nesting level of the comment
  • comment_author_url: Link to the commenter's profile
  • reply_to: Parent comment or post being replied to

⚠️ Error Handling & Retry

During the execution of the script, if an error occurs (such as network fluctuation or task failure), the Agent should follow this logic:

  1. Check the output content:

    • If the output contains "Invalid authorization", it means the API Key is invalid or expired. At this time, do not retry, but guide the user to recheck and provide the correct API Key.
    • If the output does not contain "Invalid authorization" but the task execution fails (for example, the output starts with Error: or the returned result is empty), the Agent should automatically try to execute the script again.
  2. Retry limit:

    • Automatic retry is limited to one time. If the second attempt still fails, stop retrying and report the specific error message to the user.

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

Frequently asked questions

What does the Reddit Competitor Analysis Api Skill AI 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 ana...

Why use Reddit Competitor Analysis Api Skill on TypingMind?

Because you install it once and use it with any model. Reddit Competitor Analysis Api Skill is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Reddit Competitor Analysis Api Skill in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/browser-act/skills/tree/main/solutions/social-listening/reddit-competitor-analysis-api-skill. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Which AI models can use Reddit Competitor Analysis Api Skill?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Reddit Competitor Analysis Api Skill?

As many as you like. As long as a model supports skills, you can use Reddit Competitor Analysis Api Skill with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Reddit Competitor Analysis Api Skill AI skill free?

Yes. It is published on GitHub by browser-act under the MIT license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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