# Google Jobs Schema & Expiry Auditor (`umararshad2/google-jobs-schema-expiry-auditor`) Actor

Audit public job detail pages for Google JobPosting structured-data eligibility, expired listings, remote-location rules, salary completeness, and actionable fixes.

- **URL**: https://apify.com/umararshad2/google-jobs-schema-expiry-auditor.md
- **Developed by:** [Umar Arshad](https://apify.com/umararshad2) (community)
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $1.50 / 1,000 audit results

This Actor is paid per event. You are not charged for the Apify platform usage, but only a fixed price for specific events.

Learn more: https://docs.apify.com/actors/running/actors-in-store.md#pay-per-event

## What's an Apify Actor?

An Actor is a serverless cloud program that runs on the Apify platform. It has two run modes.
In Batch mode, an Actor accepts a well-defined JSON input, performs an action which can take anything from a few seconds to a few hours,
and optionally produces a well-defined JSON output, datasets with results, or files in key-value store.
In Standby mode, an Actor provides a web server which can be used as a website, API, or an MCP server.

Apify vocabulary and the platform model are defined once, in the agent quickstart at https://apify.com/agents.md.

## How to integrate an Actor?

If asked about integration, you help developers integrate Actors into their projects.
You adapt to their stack and deliver integrations that are safe, well-documented, and production-ready.

Do not guess an integration path. Every one of them is in the agent quickstart at https://apify.com/agents.md: the Apify MCP server, Agent Skills with the Apify CLI, the JavaScript and Python clients, the REST API, and the account-free path for an agent with no human to sign in. It also carries the rule on stating cost before the first paid run.

For examples already wired to this Actor's own input schema, see the [API](#api) section below.

Each client library has reference documentation the quickstart does not restate: [JavaScript/TypeScript](https://docs.apify.com/api/client/js/docs.md) (`npm install apify-client`) and [Python](https://docs.apify.com/api/client/python/docs.md) (`pip install apify-client`).

# README

## Google Jobs Schema & Expiry Auditor

Audit public job detail pages for Google `JobPosting` JSON-LD eligibility, expired listings, remote-location requirements, and data-quality gaps. The Actor returns one structured audit per successfully fetched URL for QA pipelines, recurring checks, spreadsheets, and alerts.

### What it checks

- Required Google job fields: `title`, `description`, `datePosted`, `hiringOrganization`, and a valid physical or remote location
- Expired listings through `validThrough`
- Remote jobs missing applicant-location eligibility
- Salary, employment type, identifier, and other completeness signals
- Malformed JSON-LD, multiple jobs on one detail page, weak descriptions, and promotional titles
- Prioritized fixes, eligibility status, and a 0–100 quality score

### Input

Provide up to 20 public job detail page URLs. Enable `includeSchema` when you also want the normalized `JobPosting` object returned.

```json
{
  "startUrls": [{ "url": "https://example.com/careers/software-engineer" }],
  "includeSchema": false
}
```

### Output

Each completed audit includes the final URL, HTTP status, schema count, Google eligibility, expiry status, score, key job fields, errors, warnings, and fixes. URLs that cannot be fetched are logged and are not written as billable dataset results.

### Security and limits

The Actor only fetches public HTTP(S) pages. It rejects URL credentials, private and special-use IP ranges, unsafe DNS resolutions, and unsafe redirect destinations. Downloads are limited to 2 MB, redirects to five, requests to 15 seconds, and each run to 20 URLs.

The runtime uses Node's built-in HTTP and Apify storage APIs and ships with no third-party production packages, reducing dependency and supply-chain exposure.

### Important note

This Actor implements deterministic checks based on published Google Search documentation. It does not call Google's Rich Results Test and cannot guarantee indexing, ranking, or inclusion in Google Jobs. Always confirm final changes in Search Console and Google's official test tools.

# Actor input Schema

## `startUrls` (type: `array`):

Public HTTP(S) job detail pages to audit. Login-protected and private-network URLs are rejected.

## `includeSchema` (type: `boolean`):

Include normalized structured data in each result for debugging and downstream workflows.

## Actor input object example

```json
{
  "startUrls": [
    {
      "url": "https://www.jobs.nhs.uk/candidate/jobadvert/C9282-26-0357"
    }
  ],
  "includeSchema": false
}
```

# Actor output Schema

## `dataset` (type: `string`):

Completed job-page audit records.

# API

You can run this Actor programmatically using our API. Below are code examples in JavaScript, Python, and CLI, as well as the OpenAPI specification and MCP server setup.

## JavaScript example

```javascript
import { ApifyClient } from 'apify-client';

// Initialize the ApifyClient with your Apify API token
// Replace the '<YOUR_API_TOKEN>' with your token
const client = new ApifyClient({
    token: '<YOUR_API_TOKEN>',
});

// Prepare Actor input
const input = {
    "startUrls": [
        {
            "url": "https://www.jobs.nhs.uk/candidate/jobadvert/C9282-26-0357"
        }
    ]
};

// Run the Actor and wait for it to finish
const run = await client.actor("umararshad2/google-jobs-schema-expiry-auditor").call(input);

// Fetch and print Actor results from the run's dataset (if any)
console.log('Results from dataset');
console.log(`💾 Check your data here: https://console.apify.com/storage/datasets/${run.defaultDatasetId}`);
const { items } = await client.dataset(run.defaultDatasetId).listItems();
items.forEach((item) => {
    console.dir(item);
});

// 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/js/docs

```

## Python example

```python
from apify_client import ApifyClient

# Initialize the ApifyClient with your Apify API token
# Replace '<YOUR_API_TOKEN>' with your token.
client = ApifyClient("<YOUR_API_TOKEN>")

# Prepare the Actor input
run_input = { "startUrls": [{ "url": "https://www.jobs.nhs.uk/candidate/jobadvert/C9282-26-0357" }] }

# Run the Actor and wait for it to finish
run = client.actor("umararshad2/google-jobs-schema-expiry-auditor").call(run_input=run_input)

# Fetch and print Actor results from the run's dataset (if there are any)
print(f"💾 Check your data here: https://console.apify.com/storage/datasets/{run.default_dataset_id}")
for item in client.dataset(run.default_dataset_id).iterate_items():
    print(item)

# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start

```

## CLI example

```bash
echo '{
  "startUrls": [
    {
      "url": "https://www.jobs.nhs.uk/candidate/jobadvert/C9282-26-0357"
    }
  ]
}' |
apify call umararshad2/google-jobs-schema-expiry-auditor --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,umararshad2/google-jobs-schema-expiry-auditor"
        }
    }
}
```

The hosted server signs you in with OAuth on first connect, so no API token belongs in this config. Clients without OAuth support can send an `Authorization: Bearer <APIFY_API_TOKEN>` header instead, using a token from API & Integrations in Apify Console (https://console.apify.com/settings/integrations).

## OpenAPI specification

Download the OpenAPI definition: https://api.apify.com/v2/actors/KHvDMAqWk36eHRFGi/builds/z1TC3DEM87Dd2cLZD/openapi.json