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.
npx skills add https://github.com/browser-act/skills --skill reddit-competitor-analysis-api-skill
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.
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."
When calling the script, the Agent should flexibly configure the following parameters based on user needs:
stringopenclawstringAll time, Past year, Past month, Past week, Today, Past hourPast weekstringRelevance, Hot, Top, New, Comment countRelevancestringBest, Top, New, Controversial, Q&ABestnumber10The 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:
# Example invocation
python3 -u ./scripts/reddit_competitor_analysis_api.py "keywords" "publication_date" "post_sort_by" "comment_sort_by" data_limit
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:
Since BrowserAct tasks may take a long time to run (5-20 minutes), when the Agent executes in the OpenClaw environment, it needs to:
exec tool):command: "python3 -u ./scripts/reddit_competitor_analysis_api.py ..."background: truetimeout: 1800command: "python3 -u ./scripts/reddit_competitor_analysis_api.py ..."yieldMs: 600000timeout: 1800action: "poll"sessionId: "xxx"timeout: 300000After successful execution, the script will directly parse and print the results from the API response. The results include:
post_title: Full post titlepublish_time: Post publication timelike_count: Number of upvotes on the postcomment_count: Total number of commentspublish_channel: Subreddit where the post was publishedcomment_author: Username of the commentercomment_time_utc: Comment timestampcomments: Full comment textcomment_upvotes: Number of upvotes on the commentcomment_level: Nesting level of the commentcomment_author_url: Link to the commenter's profilereply_to: Parent comment or post being replied toDuring the execution of the script, if an error occurs (such as network fluctuation or task failure), the Agent should follow this logic:
"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."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.Take browser-act/reddit-competitor-analysis-api-skill from the repository into ~/.claude/skills for personal
use, or into .claude/skills inside a project.
The agent identifies a skill by the name field in its header. Two skills with the
same name cannot sit side by side — one of them will be ignored.