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Agent skill

Reddit Competitor Analysis API Skill

by browser-act in browser-act/skills

This skill helps users extract structured data from Reddit posts and comments via BrowserAct API.

MITAuto-check passedMarketing & SEO

Install Reddit Competitor Analysis API Skill

skills CLI
$ npx skills add browser-act/skills --skill reddit-competitor-analysis-api-skill -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install browser-act/skills reddit-competitor-analysis-api-skill --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/browser-act/skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/solutions/social-listening/reddit-competitor-analysis-api-skill .claude/skills/reddit-competitor-analysis-api-skill && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
reddit-competitor-analysis-api-skill
GitHub stars
6.1k
Used in
2 other repos
Token cost
~1.7k tokens
SKILL.md length
732 words
Files
2 (incl. scripts)
Skills in repo
87
Repo updated
First seen
Licence
MIT

At a glance

This skill helps users extract structured data from Reddit posts and comments via BrowserAct API.

  • Works in 5 steps: No hallucinations, ensuring stable and… → No CAPTCHA issues: No need to handle… → No IP access restrictions or geofencing:… → …
  • Tasks that involve Competitor analysis
  • SKILL.md covers 📖 Introduction, ✨ Features, 🔑 API Key Guide and 🛠️ Input Parameters, plus 4 more sections
  • Runs Python scripts from its folder; calls python3; needs BROWSERACT_API_KEY

What it does

Reddit Competitor Analysis API Skill is an agent skill from browser-act/skills. 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…

Its SKILL.md is about 1.7k tokens, which your agent loads only when the skill is triggered. The skill folder holds 2 other files, including scripts (for example `scripts/reddit_competitor_analysis_api.py`).

It sits in Marketing & SEO, covering Competitor analysis, Schema markup and Market research. It works with Reddit. The repository describes itself as: Browser automation CLI built for AI agents. Break through anti-bot walls, hand off to humans across platforms when stuck. Parallel multi-task execution, independent multi-session… The licence is MIT.

When your agent uses it

  • Tasks that involve Competitor analysis
  • Tasks that involve Schema markup
  • Tasks that involve Market research

Example prompts

  • “/reddit-competitor-analysis-api-skill”

Requirements

  • Python 3
  • A credential in BROWSERACT_API_KEY

Workflow steps

5 steps, taken from the first numbered list in SKILL.md.

  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.

What it can do on your machine

Read from SKILL.md and the folder at commit 11c057b. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    Ships 1 file in scripts/ (Python), which the agent can run.

    Shell commands in SKILL.md call:

    • python3

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    Links to these hosts (documentation or services it may open):

    • browseract.com

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names these keys or tokens, usually read from environment variables:

    • BROWSERACT_API_KEY

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Reddit Competitor Analysis API Skill loads about 1.7k tokens when it runs. Until then it costs about 204 tokens; SKILL.md has 732 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~204
When it runs · the whole SKILL.md, loaded when a task matches
~1.7k

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); the scripts in this folder are not scanned.

SKILL.md

The full file from browser-act/skills at commit 11c057b, republished under its MIT licence (© browser-act). 732 words, ~1,665 tokens.

Download SKILL.mdSave it as .claude/skills/reddit-competitor-analysis-api-skill/SKILL.md (or your agent's skills folder). This skill also uses 1 other file; get the full folder from GitHub.
name
reddit-competitor-analysis-api-skill
description
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.

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

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.
Show full SKILL.md (284 more words)Show less

🔧 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.

© browser-act, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

SKILL.md and 1 other file (scripts) in solutions/social-listening/reddit-competitor-analysis-api-skill of browser-act/skills.

  • SKILL.md
  • scripts/reddit_competitor_analysis_api.py

Open the folder on GitHubat commit 11c057b

Used in 2 other repositories

We found 3 copies of this SKILL.md (exact, near-identical or edited) in other folders, from 2 other GitHub owners. This page covers the copy in browser-act/skills, which our catalogue first saw on October 7, 2026.

Compare with similar skills

Reddit Competitor Analysis API Skill next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

Reddit Competitor Analysis API Skill compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Reddit Competitor Analysis API Skill this skillbrowser-act/skills6.1k2 repos~1.7kAutomated safety check: PassMIT
Pulsealirezarezvani/claude-skills28k—~3.8kAutomated safety check: PassMIT
15 Social Listening Globalminhnv0807/ai-business-skills608—~4.8kAutomated safety check: PassMIT
08 Nghien Cuu Doi Thuminhnv0807/ai-business-skills608—~3.9kAutomated safety check: PassMIT
Reddit Researchlignertys/reddit-research-skills1.3k—~3.8kAutomated safety check: WarnMIT
Blog DiscourseAgriciDaniel/claude-blog2.3k1 repos~3.4kAutomated safety check: WarnMIT

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Works with

Categories

Questions about Reddit Competitor Analysis API Skill

What does Reddit Competitor Analysis API Skill do?

This skill helps users extract structured data from Reddit posts and comments via BrowserAct API. Reddit Competitor Analysis API Skill is an agent skill from browser-act/skills. This skill helps users extract structured data from Reddit posts and comments via BrowserAct API.

When should I use Reddit Competitor Analysis API Skill?

Reddit Competitor Analysis API Skill fits situations like: tasks that involve Competitor analysis; tasks that involve Schema markup; tasks that involve Market research.

How do I install Reddit Competitor Analysis API Skill in Claude Code?

Run `npx skills add browser-act/skills --skill reddit-competitor-analysis-api-skill -a claude-code`. Or copy the skill folder (solutions/social-listening/reddit-competitor-analysis-api-skill in browser-act/skills) into .claude/skills/reddit-competitor-analysis-api-skill in your project. Claude Code loads it when a task matches its description.

How do I install Reddit Competitor Analysis API Skill in Codex?

Run `npx skills add browser-act/skills --skill reddit-competitor-analysis-api-skill -a codex`. Or copy the skill folder (solutions/social-listening/reddit-competitor-analysis-api-skill in browser-act/skills) into .agents/skills/reddit-competitor-analysis-api-skill in your project. Codex loads it when a task matches its description.

Can I use Reddit Competitor Analysis API Skill in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add browser-act/skills --skill reddit-competitor-analysis-api-skill -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/reddit-competitor-analysis-api-skill, .gemini/skills/reddit-competitor-analysis-api-skill, .github/skills/reddit-competitor-analysis-api-skill and .opencode/skills/reddit-competitor-analysis-api-skill in your project.

What does Reddit Competitor Analysis API Skill need to run?

Going by SKILL.md and its folder, Reddit Competitor Analysis API Skill needs Python for the scripts in its folder, the command-line tools its instructions call (python3) and credentials named BROWSERACT_API_KEY. Our summary lists: Python 3; A credential in BROWSERACT_API_KEY.

Does Reddit Competitor Analysis API Skill access the network?

SKILL.md names 1 domain. As links in the text: browseract.com. This is read from the text; nothing was executed.

Is Reddit Competitor Analysis API Skill safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. The check reads SKILL.md only: the scripts in the folder are not scanned, so read them before running anything.

What licence does Reddit Competitor Analysis API Skill use?

Reddit Competitor Analysis API Skill is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Reddit Competitor Analysis API Skill use?

About 1.7k tokens (SKILL.md is roughly 6.7k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.

What are the alternatives to Reddit Competitor Analysis API Skill?

Skills that share tags, products or a category with Reddit Competitor Analysis API Skill: Pulse (alirezarezvani/claude-skills, 28k stars), 15 Social Listening Global (minhnv0807/ai-business-skills, 608 stars), 08 Nghien Cuu Doi Thu (minhnv0807/ai-business-skills, 608 stars) and Reddit Research (lignertys/reddit-research-skills, 1.3k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Reddit Competitor Analysis API Skill?

browser-act (a GitHub organization) maintains it in browser-act/skills, which has 6,108 GitHub stars. The repository holds 87 skills in this directory. The repository was last updated on August 24, 2026.

Source: browser-act/skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.