Google Image API Automation Skill for Openclaw

A high-performance automation tool for extracting structured metadata, thumbnails, and source links from Google Images without CAPTCHA or IP restrictions.

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v1.0.0
Mar 3, 2026
0
978
0

Install & Download

1. ClawHub CLI

The fastest way to install a skill directly from the registry.

npx clawhub@latest install google-image-api-skill

2. Manual Installation

Copy the skill folder to one of these locations

Global
~/.openclaw/skills/
Workspace
<project>/skills/

Priority: Workspace > Local > Bundled

3. Prompt Installation

Copy this prompt to OpenClaw to install it automatically.

Help me install google-image-api-skill using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).

Prefer to download?

Get the raw skill files in a ZIP archive.

What is Google Image API Automation Skill?

The Google Image API Automation Skill is a specialized technical asset designed for AI agents to retrieve rich, structured data from Google Images. By utilizing the BrowserAct API, it effectively bypasses common scraping obstacles such as reCAPTCHA and geo-blocking, providing developers with reliable access to image titles, thumbnails, and direct source URLs. This capability makes it an essential component for those building visual datasets or conducting automated market research using Openclaw Skills.

Unlike traditional LLM-based browser navigation which can be prone to hallucinations and high token costs, this skill uses pre-defined workflows to ensure data accuracy and agile execution. It allows users to simulate searches from specific countries and in various languages, returning clean JSON metadata that is ready for immediate integration into data pipelines or research reports.

Google Image API Automation Skill Use Cases

  • Automated visual content sourcing for creative research and design projects.
  • Monitoring competitor visual assets and product styles across global regions.
  • Building large-scale visual datasets for machine learning or AI training purposes.
  • Tracking localized image trends by filtering results by specific country and language codes.
  • Extracting e-commerce leads by identifying product-style listings and their corresponding source URLs.

How Google Image API Automation Skill Works

  1. The AI agent identifies a request for image data and verifies the presence of the BROWSERACT_API_KEY environment variable.
  2. The user provides search parameters including keywords, target country, language bias, and result limits.
  3. The skill triggers a Python script that interacts with the BrowserAct Google Image API template.
  4. Automated browser actions, including scrolling to reach the desired depth, are handled server-side to bypass local restrictions.
  5. The script parses the API response and outputs structured data such as image links, source names, and thumbnails directly to the console.

Google Image API Automation Skill Setup

To utilize this skill within the Openclaw Skills ecosystem, ensure you have Python installed and a valid API key from the BrowserAct Console. Configure your environment as follows:

export BROWSERACT_API_KEY='your_api_key_here'

You can then invoke the skill via the command line:

python -u ./scripts/google_image_api.py "search_query" "us" "en" 5 50

Google Image API Automation Skill Data Schema & Taxonomy

The skill returns a structured list of image objects. The data is organized into the following schema:

Property Description
title The caption or title text associated with the image.
link The click-through URL for the image source.
thumbnail The direct URL to the image thumbnail.
source The name of the website hosting the image.
is_product Boolean flag indicating if the result is a product listing.
index The numerical position of the result in the search list.

Google Image API Automation Skill Advanced Features

  • Global localization support allowing for country-specific results (e.g., US, JP, FR).
  • Configurable scroll depth and data limits to optimize performance and API usage.
  • Intelligent error handling with a built-in single-retry mechanism for network-related failures.
  • Real-time execution monitoring through timestamped status logs.
  • Seamless compatibility with other Openclaw Skills for complex, multi-agent automation workflows.

SKILL.md


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