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,
SkillScore82Maintained
Automatic
◆Research pack
Last verified 8/9/2026
What it changes
Passed 16 of 19 test cases with the skill, and 4 of 19 without it.
Without skill23%
With skill82%
Checks it passed that the model alone missed
Sets timeout to 1800.
Sets yieldMs to 600000.
Sets timeout parameter to 1800.
and 15 more in the full report
13 fixed5 passed either way4 still failing0 broke
Pass-rate lift
+59 pp
Tokens
+71%
Agent turns
0%
Response time
-24%
Model gemini-3.6-flashMeasured 8/9/2026v118 of 22 cases passed with skill · 19 comparable
Tokens, turns and time describe resource use, not a dollar price.
See it in action
One of 13 test cases the skill fixed. Same model, same prompt, with and without the skill.
1 of 13
Prompt
We want to aggregate top-rated Reddit posts mentioning 'Devin AI' from the past week, capturing up to 15 comments sorted by Best per post. What post sorting option should be selected?
What was checked, without and with the skill
Checked
Without skill
With skill
Selects "Top" for post sorting parameter.
Passed
Passed
Places data limit as fifth positional argument.
Missed
Passed
case-20 · gemini-3.6-flash · 8/9/2026 · answers are capped and redacted
What's inside
The instructions your model reads when the skill loads.
SKILL.md105 lines2 filesincludes scripts
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
No hallucinations, ensuring stable and precise data extraction: Pre-set workflows avoid AI generative hallucinations.
No CAPTCHA issues: No need to handle reCAPTCHA or other verification challenges.
No IP access restrictions or geofencing: No need to handle regional IP limitations.
Faster execution: Compared to pure AI-driven browser automation solutions, task execution is faster.
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:
Keywords (Search keywords)
Type: string
Description: Search keywords for Reddit posts.
Example: openclaw
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
Post_sort_by (Search sort)
Type: string
Description: Sort Reddit post search results by selected criteria.
Fetch customer reviews for a Taobao or Tmall product by itemId, returning reviewer name, date, purchased variant, review text, and photo URLs. Use when user asks to get product reviews from Taobao, scrape Taobao customer feedback, extract buyer reviews by item ID, collect Tmall ratings and comments, 采集淘宝商品评价, 抓取淘宝买家评论, 获取淘宝商品评论, 天猫商品评价抓取, 按商品ID获取评价. Also applies to sentiment analysis of product reviews, building review datasets, and monitoring product rating changes.