← Back to Skills Marketplace
justserpapi

Google SERP Lens API

by justserpapi · GitHub ↗ · v1.0.1 · MIT-0
cross-platform ⚠ suspicious
35
Downloads
0
Stars
0
Active Installs
2
Versions
Install in OpenClaw
/install justserpapi-google-lens
Description
Call GET /api/v1/google/lens for Google SERP Lens through Just Serp API with url.
README (SKILL.md)

Google SERP Lens

Use this focused Just Serp API skill for Google SERP Lens. It targets GET /api/v1/google/lens. Required inputs are url. OpenAPI describes it as: Get Google lens Search data, including visual matches, product matches, and related links, for visual search analysis and product matching workflows.

Endpoint Scope

  • Group key: google
  • Endpoint key: lens
  • Group family: Google SERP
  • Skill slug: justserpapi-google-lens
Operation Version Method Path OpenAPI summary
lens v1 GET /api/v1/google/lens Search

Inputs

Parameter In Required by Optional by Type Notes
country query n/a all string Set the target country code (e.g., 'us', 'uk') to localize results. See \x3Ca href="/reference/google-countries">Google Countries\x3C/a>
exact_matches query n/a all boolean If set to true, the API will search for exact duplicates of the provided image
language query n/a all string Set the language for the results using its two-letter code (e.g., 'en' for English, 'fr' for French). See \x3Ca href="/reference/google-language">Google Language\x3C/a>
product query n/a all boolean If set to true, the API will specifically look for product matches and shopping results
url query all n/a string The URL of the image you want to analyze with Google Lens. Must be a publicly accessible image URL
visual_matches query n/a all boolean If set to true, the API will return visually similar images and matches

Request body: none documented; send parameters through path or query arguments.

Version Choice

Use lens for the documented v1 endpoint. There are no alternate versions grouped in this skill.

Run This Endpoint

Supported operation IDs in this skill: lens.

node {baseDir}/bin/run.mjs --operation "lens" --api-key "$JUST_SERP_API_KEY" --params-json '{"url":"\x3Curl>"}'

Ask for any missing required parameter before calling the helper. Keep user-provided IDs, URLs, keywords, and filters unchanged.

Environment

  • Required: JUST_SERP_API_KEY
  • Pass the API key with --api-key "$JUST_SERP_API_KEY"; do not paste key values into chat messages, screenshots, or logs.
  • Project site: Just Serp API.
  • Authentication details: Just Serp API Docs.

Output Focus

  • State the operation ID and endpoint path used, for example lens on /api/v1/google/lens.
  • Echo the required lookup scope (url) before summarizing results.
  • Prioritize fields that support this endpoint purpose: Get Google lens Search data, including visual matches, product matches, and related links, for visual search analysis and product matching workflows.
  • Return raw JSON only after the short, endpoint-specific summary.
  • If the backend errors, include the backend payload and the exact operation ID.
Usage Guidance
Review the autoreview workflow before installing. If you use it, prefer `--no-yolo` or `AUTOREVIEW_YOLO=0`, and be aware that fallback reviewers may receive generated repository diffs. The moderation and migration skills should only be used by trusted operators with explicit targets, reasons, and confirmation.
Capability Tags
requires-sensitive-credentials
Capability Assessment
Purpose & Capability
The Convex, ClawHub moderation, PR, UI proof, and autoreview workflows are described clearly and mostly match their stated purposes, including disclosed moderation and migration authority.
Instruction Scope
The autoreview skill instructs use after non-trivial edits and its helper defaults to `--dangerously-bypass-approvals-and-sandbox --sandbox danger-full-access`, which is broader authority than a review workflow needs by default.
Install Mechanism
Artifacts are plain local skill files, Markdown references, icons, YAML interface metadata, and one bash helper script; no hidden installer or obfuscated install behavior was found.
Credentials
Networked tools such as GitHub CLI, Convex CLI, proof publishing, and fallback review CLIs are purpose-aligned, but they can expose repository diffs or proof artifacts to external services.
Persistence & Privilege
No background persistence or autostart behavior was found. The main privilege concern is the autoreview helper's default full-access nested Codex execution; it does provide `--no-yolo` and `AUTOREVIEW_YOLO=0` opt-outs.
How to Use
  1. Make sure OpenClaw is installed (local or Docker)
  2. Run the install command in chat: /install justserpapi-google-lens
  3. After installation, invoke the skill by name or use /justserpapi-google-lens
  4. Provide required inputs per the skill's parameter spec and get structured output
Version History
v1.0.1
- Operation summary for the main endpoint has been updated from "Lens Search" to "Search". - Documentation wording improved for clarity and consistency in SKILL.md. - skill-card.md file removed. - Minor metadata and documentation corrections for parameter descriptions and endpoint details.
v1.0.0
Initial publish
Metadata
Slug justserpapi-google-lens
Version 1.0.1
License MIT-0
All-time Installs 0
Active Installs 0
Total Versions 2
Frequently Asked Questions

What is Google SERP Lens API?

Call GET /api/v1/google/lens for Google SERP Lens through Just Serp API with url. It is an AI Agent Skill for Claude Code / OpenClaw, with 35 downloads so far.

How do I install Google SERP Lens API?

Run "/install justserpapi-google-lens" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.

Is Google SERP Lens API free?

Yes, Google SERP Lens API is completely free, licensed under MIT-0. You can download, install and use it at no cost.

Which platforms does Google SERP Lens API support?

Google SERP Lens API is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).

Who created Google SERP Lens API?

It is built and maintained by justserpapi (@justserpapi); the current version is v1.0.1.

💬 Comments