google-image-api-skill
This skill helps users automatically extract structured image data from Google Images via BrowserAct API. Agent should proactively apply this skill when users express needs like finding images for specific keywords, gathering product style images for competitors, building visual datasets at scale, scanning visual search results for market research, tracking localized image trends by country, compiling related image thumbnails and links, extracting image titles and source logos, fetching click through URLs from image results, monitoring competitor visual assets, sourcing creative content for sp
npx skills add browser-act/skills --skill google-image-api-skill --agent claude-code
Same command for any agent — swap --agent for codex, cursor, copilot.
Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.
# Google Image API Automation Skill ## 📖 Introduction This skill provides users with one-click image data extraction directly from Google Images using the BrowserAct Google Image API template. It allows you to search with keywords, set country and language, control scroll depth and result limits, returning clean, structured image metadata directly via API. ## ✨ Features 1. **No hallucinations, ensuring stable and accurate data extraction**: Pre-set workflows avoid generative AI hallucinations. 2. **No CAPTCHA issues**: No need to deal with reCAPTCHA or other verification challenges. 3. **No IP restrictions or geo-blocking**: No need to handle regional IP limitations. 4. **Agile execution speed**: Faster task execution compared to pure AI-driven browser automation solutions. 5. **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 must check the `BROWSERACT_API_KEY` environment variable. If it is not set, do not take any further action; you should request and wait for the user to provide it collaboratively. **The Agent must inform the user at this point**: > "
- 📖 Introduction
- ✨ Features
- 🔑 API Key Guide
- 🛠️ Input Parameters
- 🚀 Invocation (Recommended)
- ⏳ Execution Status Monitoring
- 📊 Data Output
- ⚠️ Error Handling & Retry
- 🌟 Typical Use Cases
Example invocation python -u ./scripts/google_image_api.py "KeyWords" "Country" "Language" Scroll_count Datelimit
What does the google-image-api-skill skill do?
This skill helps users automatically extract structured image data from Google Images via BrowserAct API. Agent should proactively apply this skill when users express needs like finding images for specific keywords, gathering product style images for competitors, building visual datasets at scale, scanning visual search results for market research, tracking localized image trends by country, compiling related image thumbnails and links, extracting image titles and source logos, fetching click through URLs from image results, monitoring competitor visual assets, sourcing creative content for sp
How do I install it?
Run `npx skills add browser-act/skills --skill google-image-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.