Agent skill · Data & Analytics

zhihu-search-api-skill

This skill helps users automatically extract structured article details and full content from Zhihu via the BrowserAct API. Agent should proactively apply this skill when users express needs like: searching for Zhihu articles on a specific topic, tracking industry trends on Zhihu, monitoring public relations or sentiment on Zhihu, collecting competitor updates, getting the latest reports on specific keywords, monitoring brand exposure in Zhihu media, researching market hot topics, summarizing daily Zhihu industry news, retrieving hot events from the past week, extracting structured data for ma

browser-actgithub.com/browser-actGitHub ↗
claude-codecodexcursorships scriptsMIT
Install
npx skills add browser-act/skills --skill zhihu-search-api-skill --agent claude-code

Same command for any agent — swap --agent for codex, cursor, copilot.

Facts
Files in the skill folder: 2
SKILL.md size: 6 KB
Bundled scripts: yes
Path: solutions/social-listening/zhihu-search-api-skill/SKILL.md
Open the folder on GitHub →
Where it comes from
Stars: 5,160
Language: Python
Read our review of the source →

Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.

From the SKILL.md

# Zhihu Search API Automated Extraction Skill ## 📖 Brief This skill uses BrowserAct's Zhihu Search API template to provide a one-stop article extraction service. It extracts structured article details and full content from Zhihu article search results based on keywords and publication date filters. ## ✨ 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 and geo-fencing**: No need to deal with regional IP limits. 4. **Faster execution speed**: Compared to pure AI-driven browser automation solutions, task execution is much faster. 5. **Extremely high cost-effectiveness**: Significantly reduces data acquisition costs compared to AI solutions that consume a large number of tokens. ## 🔑 API Key Guide Before running, you need to check the `BROWSERACT_API_KEY` environment variable. If it is not set, do not take other actions; wait for the user to provide it. **The Agent must inform the user at this time:** > "Since you have not configured the BrowserAct API Key yet, please go to the [Brow

What's inside
Steps it walks through
  1. 📖 Brief
  2. ✨ Features
  3. 🔑 API Key Guide
  4. 🛠️ Input Parameters
  5. 🚀 Recommended Usage
  6. ⏳ Execution Status Monitoring
  7. 📊 Data Output
  8. ⚠️ Error Handling & Retry
  9. 🌟 Typical Use Cases
Ships with 1 file
  • scripts/zhihu_search_api.py
Commands it runs
Example call
python -u ./scripts/zhihu_search_api.py "keyword" "Publish_date" limit
More from skills
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About this skill
What does the zhihu-search-api-skill skill do?

This skill helps users automatically extract structured article details and full content from Zhihu via the BrowserAct API. Agent should proactively apply this skill when users express needs like: searching for Zhihu articles on a specific topic, tracking industry trends on Zhihu, monitoring public relations or sentiment on Zhihu, collecting competitor updates, getting the latest reports on specific keywords, monitoring brand exposure in Zhihu media, researching market hot topics, summarizing daily Zhihu industry news, retrieving hot events from the past week, extracting structured data for ma

How do I install it?

Run `npx skills add browser-act/skills --skill zhihu-search-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.

Keep going