Google Image Api Skill logo

Google Image Api Skill

OrganizationPopular
browser-act
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 specific topics, looking up product pictures in different regions, collecting structured image metadata without opening detail pages.

Overview

Publisherbrowser-act
Repositoryskills
Skill namegoogle-image-api-skill
Stars
5.9K
Forks
295
Bundled files
1
LicenseMIT
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • 1 bundled files

    Scripts, templates, and references the model can read while it works. Files are read-only and never executed.

  • Open source

    Published by browser-act on GitHub. Read the source before you install it.

Installation

Install the Google Image Api Skill AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/browser-act/skills.git /tmp/skills
mkdir -p .claude/skills
cp -r /tmp/skills/solutions/search-research/google-image-api-skill .claude/skills/google-image-api-skill
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Google Image Api Skill in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Google Image Api Skill on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Google Image Api Skill is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

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:

"Since you haven't configured the BrowserAct API Key yet, please go to the BrowserAct Console to get your Key first."

🛠️ Input Parameters

The Agent should flexibly configure the following parameters according to user needs when calling the script:

  1. KeyWords (Search keywords)

    • Type: string
    • Description: Search keywords used on Google Images.
    • Example: flower, ai agent, tesla
  2. Country (Country or region bias)

    • Type: string
    • Description: Country or region bias for results.
    • Supported values: us, gb, ca, au, de, fr, es, jp, kr
    • Default: us
  3. Language (UI language)

    • Type: string
    • Description: UI language for the Google Images session and returned text.
    • Supported values: en, zh-CN, zh-TW, ja, ko, fr, de, es
    • Default: en
  4. Scroll_count (Number of scroll actions)

    • Type: number
    • Description: Number of scroll actions to load more image results.
    • Default: 5
  5. Datelimit (Maximum items)

    • Type: number
    • Description: Maximum number of items to extract from the results list.
    • Default: 50

🚀 Invocation (Recommended)

The Agent should execute the following independent script to achieve "results with one command":

bash
# Example invocation
python -u ./scripts/google_image_api.py "KeyWords" "Country" "Language" Scroll_count Datelimit

⏳ Execution Status Monitoring

Since this task involves automated browser operations, it may take a considerable amount of time (several minutes). The script will continuously output status logs with timestamps while running (e.g., [14:30:05] Task Status: running). Agent Notice:

  • While waiting for the script to return results, please keep an eye on the terminal output.
  • As long as the terminal is outputting new status logs, it means the task is running normally; do not mistake it for a deadlock or unresponsiveness.
  • If the status remains unchanged for a long time or the script stops outputting without returning a result, then consider triggering the retry mechanism.

📊 Data Output

After successful execution, the script will parse and print the results directly from the API response. The results include:

  • is_product: Whether the result is detected as a product-style listing
  • link: Click-through URL associated with the result
  • title: Image result title or caption text
  • source_logo: Source site logo URL
  • source: Source site name shown in results
  • related_content_id: Google Images related content identifier
  • thumbnail: Thumbnail image URL
  • index: Result index in the list

⚠️ Error Handling & Retry

During the execution of the script, if an error occurs (such as network fluctuation or task failure), the Agent should follow this logic:

  1. Check the output:

    • If the output contains "Invalid authorization", it means the API Key is invalid or expired. In this case, do not retry; guide the user to check and provide the correct API Key.
    • If the output does not contain "Invalid authorization" but the task execution fails (for example, the output starts with Error: or the result is empty), the Agent should automatically try executing the script one more time.
  2. Retry limit:

    • Automatic retry is limited to once. If the second attempt still fails, stop retrying and report the specific error message to the user.

🌟 Typical Use Cases

  1. Visual Content Sourcing: Finding specific imagery for creative research and design content.
  2. Competitor Asset Monitoring: Scanning Google Images for competitor product styles and logos.
  3. Market Visual Research: Building datasets of product listings across various countries.
  4. Localized Image Trends: Tracking what images appear for specific terms in Japan (jp) or France (fr).
  5. E-commerce Discovery: Extracting click-through links to track down where products are sold.
  6. Data Enrichment: Fetching thumbnails and high-level titles associated with keywords.
  7. Brand Tracking: Finding instances of specific brands appearing as image results.
  8. SEO Keyword Visualization: Checking the visual results that rank for chosen SEO keywords.
  9. Automated Content Aggregation: Delivering daily list-level visual metadata for specific topics.
  10. Global Image Search: Finding images related to global events or personalities in their native languages.

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

Frequently asked questions

What does the Google Image Api Skill AI 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...

Why use Google Image Api Skill on TypingMind?

Because you install it once and use it with any model. Google Image Api Skill is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Google Image Api Skill in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/browser-act/skills/tree/main/solutions/search-research/google-image-api-skill. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Which AI models can use Google Image Api Skill?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Google Image Api Skill?

As many as you like. As long as a model supports skills, you can use Google Image Api Skill with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Google Image Api Skill AI skill free?

Yes. It is published on GitHub by browser-act under the MIT license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

View all

Set up your own AI workspace now

Get notified about new features and future giveaways by subscribing to our newsletter 👇