A specialized AI agent skill designed to query Google Scholar profiles, retrieving affiliations, citations, and pagination tokens for academic research.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install justserpapi-google-scholar-profiles
2. Manual Installation
Copy the skill folder to one of these locations
~/.openclaw/skills/ <project>/skills/ Priority: Workspace > Local > Bundled
3. Prompt Installation
Copy this prompt to OpenClaw to install it automatically.
Help me install justserpapi-google-scholar-profiles 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 SERP Scholar Profiles API?
The Google SERP Scholar Profiles API skill is a robust integration designed for AI agents to search and retrieve academic profile data directly from Google Scholar. Built to run seamlessly within the Openclaw Skills ecosystem, this skill automates the extraction of key researcher information including professional affiliations, total citation counts, search results, and pagination keys.
By leveraging this skill, developers can construct comprehensive academic directories, perform in-depth researcher discovery, and monitor academic citations at scale. The integration abstractly handles the complex query structures of Google SERP, making it trivial for an AI agent to fetch highly structured scholarly profiles with minimal manual setup.
Google SERP Scholar Profiles API Use Cases
- Researcher Discovery: Automatically search and identify academic experts in specific fields using targeted search queries (e.g., 'John Smith' or 'Harvard University').
- Academic Directory Building: Build and maintain an updated repository of academic professionals, tracking their institution affiliations and latest citation figures.
- Academic Trend & Influence Tracking: Query and monitor academic citation metrics to identify high-impact researchers and emerging subject matter experts.
- Data-Driven Academic Recruitment: Help institutional hiring boards and research organizations locate and screen prospective candidates based on verified scholarly publication profiles.
How Google SERP Scholar Profiles API Works
- Query Initiation: The AI agent initiates a search by specifying the target academic query (using the required
mauthorsparameter). - Endpoint Execution: The skill targets the
GET /api/v1/google/scholar/profilesendpoint via the Just Serp API, executing theScholarProfilesoperation. - Result Pagination: If the results span multiple pages, the skill handles cursor-based pagination using the
after_authororbefore_authorquery tokens. - Structured Delivery: The agent receives structured Google Scholar profile data, outputs the operational metadata, and formats the raw JSON response containing affiliations and citation counts.
Google SERP Scholar Profiles API Setup
To deploy this skill within your Openclaw Skills workflow, you must first configure your Just Serp API credentials and set up the local runner environment.
Environment Variables
Ensure your Just Serp API key is exported in your environment:
export JUST_SERP_API_KEY="your_api_key_here"
Installation & CLI Execution
Run the execution script targeting the ScholarProfiles operation:
node ./bin/run.mjs --operation "ScholarProfiles" --api-key "$JUST_SERP_API_KEY" --params-json '{"mauthors":"John Smith"}'
Note: Never paste raw API key values into logs, chat conversations, or public repositories.
Google SERP Scholar Profiles API Data Schema & Taxonomy
The Google Scholar Profiles skill structures its inputs and outputs to ensure reliable research data extraction. Here is the metadata taxonomy for queries:
Input Parameters
| Parameter | Location | Required | Type | Description |
|---|---|---|---|---|
mauthors |
Query | Yes | string |
The search query for author profiles (e.g., researcher names or university names) |
after_author |
Query | No | string |
Cursor token used to fetch the next page of author profiles |
before_author |
Query | No | string |
Cursor token used to fetch the previous page of author profiles |
Structured Output Schema
Upon a successful call, the skill returns a structured response that includes:
- Operation ID: Verified as
ScholarProfiles. - Endpoint Path: Verified as
/api/v1/google/scholar/profiles. - Author Metadata: A list of profile search results featuring author name, affiliation, email verification status, and citation metrics.
- Pagination Tokens:
after_authorandbefore_authorstrings for deep navigation.
Google SERP Scholar Profiles API Advanced Features
- Cursor-Based Deep Crawling: Seamlessly navigate extensive academic lists by dynamically passing pagination tokens to extract deep-tier search results.
- AI-Agent Directory Automation: Integrate this skill with automated agentic workflows to self-populate databases with scholarly profiles based on dynamic topics.
- No-Leak Security: Secure API key management prevents exposure of key values within conversation history, logs, and screenshots, perfectly aligned with the safe execution guidelines of Openclaw Skills.
- Raw JSON Fallback: Supports clean output summaries paired with raw JSON data delivery to feed downstream analytic models directly.
SKILL.md
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