# Bulk Alt Text Generator — Image SEO & Accessibility Metadata (`myexcelsolutions/bulk-alt-text-generator`) Actor

Generate alt text, SEO filenames, captions, titles & keywords for up to 5,000 images per run. WCAG-informed, 20+ languages, structured JSON output. Failed images are never charged. $0.01 per image.

- **URL**: https://apify.com/myexcelsolutions/bulk-alt-text-generator.md
- **Developed by:** [My Excel Solutions](https://apify.com/myexcelsolutions) (community)
- **Categories:** AI, SEO tools, E-commerce
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $10.00 / 1,000 image processeds

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/platform/actors/running/actors-in-store#pay-per-event

## What's an Apify Actor?

Actors are a software tools running on the Apify platform, for all kinds of web data extraction and automation use cases.
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.
Actors are written with capital "A".

## 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.
The best way to integrate Actors is as follows.

In JavaScript/TypeScript projects, use official [JavaScript/TypeScript client](https://docs.apify.com/api/client/js/docs.md):

```bash
npm install apify-client
```

In Python projects, use official [Python client library](https://docs.apify.com/api/client/python/docs.md):

```bash
pip install apify-client
```

In shell scripts, use [Apify CLI](https://docs.apify.com/cli/docs.md):

````bash
# MacOS / Linux
curl -fsSL https://apify.com/install-cli.sh | bash
# Windows
irm https://apify.com/install-cli.ps1 | iex
```bash

In AI frameworks, you might use the [Apify MCP server](https://docs.apify.com/integrations/mcp.md).

If your project is in a different language, use the [REST API](https://docs.apify.com/api/v2.md).

For usage examples, see the [API](#api) section below.

For more details, see Apify documentation as [Markdown index](https://docs.apify.com/llms.txt) and [Markdown full-text](https://docs.apify.com/llms-full.txt).


# README

## Bulk Alt Text Generator — Image SEO & Accessibility Metadata

Generate structured alt text, SEO filenames, captions, titles, and keywords from direct image URLs or a sitemap. This Apify Actor is designed for ecommerce catalogs, content teams, accessibility audits, agencies, and AI agents that need predictable JSON at scale.

The generated alt text is WCAG-informed and can help an accessibility workflow. It does **not** certify WCAG, European Accessibility Act, or other legal compliance; a human should review important or ambiguous images in their page context.

### What you get

Each successful image produces a record like this:

```json
{
  "sourceUrl": "https://example.com/products/rust-red-backpack.jpg",
  "status": "ok",
  "altText": "Rust-red canvas backpack with front pocket and brown leather straps",
  "seoFilename": "rust-red-canvas-travel-backpack",
  "caption": "A durable rust-red canvas backpack designed for everyday travel and commuting.",
  "title": "Rust-Red Canvas Travel Backpack",
  "keywords": [
    "canvas backpack",
    "red backpack",
    "travel bag",
    "daypack",
    "commuter bag",
    "leather straps"
  ],
  "model": "gemini-2.5-flash-lite",
  "tokensUsed": 512
}
````

Failures are explicit and uncharged:

```json
{
  "sourceUrl": "https://example.com/broken.jpg",
  "status": "failed",
  "failureReason": "not_an_image"
}
```

### Before and after

These outputs are captured by the deterministic end-to-end fixture run used in this repository. The same run exercises downloading, image normalization, structured model output, charging, and dataset records.

| Source state | Generated alt text | Generated SEO filename |
| --- | --- | --- |
| `IMG_1042.jpg`, no alt text | Rust-red canvas backpack with front pocket and brown leather straps | `rust-red-canvas-travel-backpack` |
| `product-final-2.png`, no alt text | White ceramic coffee mug beside roasted coffee beans on a wooden table | `white-ceramic-coffee-mug` |

### Input

Use either `imageUrls` or `sitemapUrl`, not both.

```json
{
  "imageUrls": [
    "https://example.com/images/product-front.jpg",
    "https://example.com/images/product-side.png"
  ],
  "context": "Handmade silver jewellery store",
  "language": "en",
  "tone": "ecommerce",
  "fields": ["altText", "seoFilename", "caption", "title", "keywords"]
}
```

- `imageUrls`: up to 5,000 direct HTTP(S) image URLs.
- `sitemapUrl`: image sitemap, one-level sitemap index, or page sitemap. Page sitemap mode fetches at most 200 pages and reads `og:image` metadata.
- `context`: optional factual brand or product context, limited to 2,000 characters.
- `language`: output language code; the Console includes 20 common choices.
- `tone`: `neutral`, `ecommerce`, or `editorial`.
- `fields`: any non-empty subset of `altText`, `seoFilename`, `caption`, `title`, and `keywords`.

### Sitemap mode

For an image sitemap:

```json
{
  "sitemapUrl": "https://example.com/image-sitemap.xml",
  "context": "Outdoor clothing retailer",
  "language": "de",
  "tone": "ecommerce"
}
```

The Actor extracts `<image:image><image:loc>` values. For a sitemap index it follows child sitemaps one level deep. If the input is a page sitemap, it fetches up to 200 pages with concurrency four and extracts each page's `og:image`. URLs are deduplicated and the final image list is capped at 5,000.

### Reliability and cost controls

- Downloads are limited to 20 MB and 30 seconds per image.
- `sharp` verifies the payload, applies EXIF orientation, strips metadata, flattens transparency, limits the longest edge to 512 px, and re-encodes JPEG at quality 80 before Gemini receives it.
- At most eight images are processed concurrently.
- Gemini calls use a server-side JSON response schema, two retries with backoff for 429/5xx responses, and one corrective retry for invalid model JSON.
- A failed download or model response cannot crash the rest of the run and is never charged as `image-processed`.
- Every run logs `{images, succeeded, failed, charged, estCogsUsd, ms}`. The estimate uses actual Gemini usage token counts.
- Prompt context and output length are bounded. The designed worst-case COGS is below $0.001/image, with a hard $0.003/image stop guardrail.

### Pricing and free-tier gate

| Event | Price | When it occurs |
| --- | ---: | --- |
| `image-processed` | $0.01 | Once per successful image only |
| `apify-actor-start` | $0.001 | Synthetic Actor start event configured in Apify Console |

Failed images are returned with `status: "failed"` and are not charged as `image-processed`. The Actor checks the pay-per-event spending limit after each successful dataset push and exits gracefully when the limit is reached.

Up to eight images can already be in flight when a charge-limit or COGS stop is detected. Any remaining completed results in that batch are intentionally withheld and uncharged, although their Gemini cost may already have been incurred; the run summary still counts them as processed.

Runs started by users for whom `APIFY_USER_IS_PAYING !== "1"` are capped at five images. Every emitted record receives `"note": "free tier"`, and the log explains how many images were omitted.

### Run locally

Prerequisites: Node.js 22 and npm.

```powershell
npm install
npm run check
npm run build
```

For a completely local run with no Gemini cost, start the fixture image server in one PowerShell window:

```powershell
npm run fixture:server
```

Then run the Actor in another window:

```powershell
$env:MOCK_GEMINI='1'
$env:APIFY_USER_IS_PAYING='1'
$env:ACTOR_TEST_PAY_PER_EVENT='true'
$env:ACTOR_USE_CHARGING_LOG_DATASET='true'
npx apify-cli run -i '{"imageUrls":["http://127.0.0.1:3210/backpack.png","http://127.0.0.1:3210/coffee.jpg","http://127.0.0.1:3210/corrupt.jpg"],"context":"Fixture ecommerce store"}'
```

Local results are saved under `storage/datasets/default`. Charging-log records are under `storage/datasets/charging_log` when the charging-log environment variable is enabled.

For a real Gemini run, remove `MOCK_GEMINI`, set `GEMINI_API_KEY` in the environment, and keep the API key out of input JSON and source control:

```powershell
Remove-Item Env:MOCK_GEMINI -ErrorAction SilentlyContinue
$env:GEMINI_API_KEY='<your-developer-key>'
npx apify-cli run -i '{"imageUrls":["https://example.com/product.jpg"],"context":"Your factual product context"}'
```

### API and MCP/agent use

After deployment, call the Actor with the standard Apify API or client and read the default dataset:

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

const client = new ApifyClient({ token: process.env.APIFY_TOKEN });
const run = await client.actor('YOUR_USERNAME/bulk-alt-text-generator').call({
    imageUrls: ['https://example.com/product.jpg'],
    context: 'Minimalist homeware shop',
    language: 'en',
});
const { items } = await client.dataset(run.defaultDatasetId).listItems();
```

For an MCP-capable agent, connect to `https://mcp.apify.com`, expose this Actor as a tool, and pass the same input object. The hosted Apify MCP server infers structured output fields from the Actor dataset schema, so agents can consume success and failure records directly.

```json
{
  "mcpServers": {
    "apify": {
      "url": "https://mcp.apify.com"
    }
  }
}
```

### Development

```powershell
npm run typecheck
npm run lint
npm run test
npm run check
```

The test suite covers large JPEG downscaling, PNG transparency, corrupt/oversized/timed-out downloads, concurrency, recorded Gemini responses and retries, COGS math, image/page/index sitemaps, charging limits, the free-tier gate, and an end-to-end local fixture run.

### Limits

- No image generation or editing.
- No OCR or document processing.
- No Shopify CSV preset or asynchronous Gemini Batch API in Phase 1.
- AI output can be wrong; review high-impact accessibility and product content in its rendered page context.

# Actor input Schema

## `imageUrls` (type: `array`):

Direct HTTP(S) image URLs. Use this or Sitemap URL, not both. Maximum 5,000.

## `sitemapUrl` (type: `string`):

An image sitemap, a one-level sitemap index, or a page sitemap whose pages expose og:image.

## `context` (type: `string`):

Optional factual context that improves captions, for example: handmade silver jewellery store. Do not include instructions or unsupported claims.

## `language` (type: `string`):

Language for generated metadata.

## `tone` (type: `string`):

Writing style for captions and titles.

## `fields` (type: `array`):

Select the metadata fields returned for each successful image.

## Actor input object example

```json
{
  "imageUrls": [
    "https://images.unsplash.com/photo-1553062407-98eeb64c6a62",
    "https://images.unsplash.com/photo-1495474472287-4d71bcdd2085"
  ],
  "context": "Sustainable ecommerce store selling practical everyday products",
  "language": "en",
  "tone": "ecommerce",
  "fields": [
    "altText",
    "seoFilename",
    "caption",
    "title",
    "keywords"
  ]
}
```

# Actor output Schema

## `results` (type: `string`):

No description

# 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 = {
    "imageUrls": [
        "https://images.unsplash.com/photo-1553062407-98eeb64c6a62",
        "https://images.unsplash.com/photo-1495474472287-4d71bcdd2085"
    ],
    "context": "Sustainable ecommerce store selling practical everyday products"
};

// Run the Actor and wait for it to finish
const run = await client.actor("myexcelsolutions/bulk-alt-text-generator").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 = {
    "imageUrls": [
        "https://images.unsplash.com/photo-1553062407-98eeb64c6a62",
        "https://images.unsplash.com/photo-1495474472287-4d71bcdd2085",
    ],
    "context": "Sustainable ecommerce store selling practical everyday products",
}

# Run the Actor and wait for it to finish
run = client.actor("myexcelsolutions/bulk-alt-text-generator").call(run_input=run_input)

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

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

```

## CLI example

```bash
echo '{
  "imageUrls": [
    "https://images.unsplash.com/photo-1553062407-98eeb64c6a62",
    "https://images.unsplash.com/photo-1495474472287-4d71bcdd2085"
  ],
  "context": "Sustainable ecommerce store selling practical everyday products"
}' |
apify call myexcelsolutions/bulk-alt-text-generator --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "command": "npx",
            "args": [
                "mcp-remote",
                "https://mcp.apify.com/?tools=myexcelsolutions/bulk-alt-text-generator",
                "--header",
                "Authorization: Bearer <YOUR_API_TOKEN>"
            ]
        }
    }
}

```

## OpenAPI specification

```json
{
    "openapi": "3.0.1",
    "info": {
        "title": "Bulk Alt Text Generator — Image SEO & Accessibility Metadata",
        "description": "Generate alt text, SEO filenames, captions, titles & keywords for up to 5,000 images per run. WCAG-informed, 20+ languages, structured JSON output. Failed images are never charged. $0.01 per image.",
        "version": "0.1",
        "x-build-id": "g5iGTmVp6HvSgVa6e"
    },
    "servers": [
        {
            "url": "https://api.apify.com/v2"
        }
    ],
    "paths": {
        "/acts/myexcelsolutions~bulk-alt-text-generator/run-sync-get-dataset-items": {
            "post": {
                "operationId": "run-sync-get-dataset-items-myexcelsolutions-bulk-alt-text-generator",
                "x-openai-isConsequential": false,
                "summary": "Executes an Actor, waits for its completion, and returns Actor's dataset items in response.",
                "tags": [
                    "Run Actor"
                ],
                "requestBody": {
                    "required": true,
                    "content": {
                        "application/json": {
                            "schema": {
                                "$ref": "#/components/schemas/inputSchema"
                            }
                        }
                    }
                },
                "parameters": [
                    {
                        "name": "token",
                        "in": "query",
                        "required": true,
                        "schema": {
                            "type": "string"
                        },
                        "description": "Enter your Apify token here"
                    }
                ],
                "responses": {
                    "200": {
                        "description": "OK"
                    }
                }
            }
        },
        "/acts/myexcelsolutions~bulk-alt-text-generator/runs": {
            "post": {
                "operationId": "runs-sync-myexcelsolutions-bulk-alt-text-generator",
                "x-openai-isConsequential": false,
                "summary": "Executes an Actor and returns information about the initiated run in response.",
                "tags": [
                    "Run Actor"
                ],
                "requestBody": {
                    "required": true,
                    "content": {
                        "application/json": {
                            "schema": {
                                "$ref": "#/components/schemas/inputSchema"
                            }
                        }
                    }
                },
                "parameters": [
                    {
                        "name": "token",
                        "in": "query",
                        "required": true,
                        "schema": {
                            "type": "string"
                        },
                        "description": "Enter your Apify token here"
                    }
                ],
                "responses": {
                    "200": {
                        "description": "OK",
                        "content": {
                            "application/json": {
                                "schema": {
                                    "$ref": "#/components/schemas/runsResponseSchema"
                                }
                            }
                        }
                    }
                }
            }
        },
        "/acts/myexcelsolutions~bulk-alt-text-generator/run-sync": {
            "post": {
                "operationId": "run-sync-myexcelsolutions-bulk-alt-text-generator",
                "x-openai-isConsequential": false,
                "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.",
                "tags": [
                    "Run Actor"
                ],
                "requestBody": {
                    "required": true,
                    "content": {
                        "application/json": {
                            "schema": {
                                "$ref": "#/components/schemas/inputSchema"
                            }
                        }
                    }
                },
                "parameters": [
                    {
                        "name": "token",
                        "in": "query",
                        "required": true,
                        "schema": {
                            "type": "string"
                        },
                        "description": "Enter your Apify token here"
                    }
                ],
                "responses": {
                    "200": {
                        "description": "OK"
                    }
                }
            }
        }
    },
    "components": {
        "schemas": {
            "inputSchema": {
                "type": "object",
                "properties": {
                    "imageUrls": {
                        "title": "Image URLs",
                        "maxItems": 5000,
                        "uniqueItems": true,
                        "type": "array",
                        "description": "Direct HTTP(S) image URLs. Use this or Sitemap URL, not both. Maximum 5,000.",
                        "items": {
                            "type": "string",
                            "pattern": "^https?://"
                        }
                    },
                    "sitemapUrl": {
                        "title": "Sitemap URL",
                        "pattern": "^https?://",
                        "type": "string",
                        "description": "An image sitemap, a one-level sitemap index, or a page sitemap whose pages expose og:image."
                    },
                    "context": {
                        "title": "Brand or product context",
                        "maxLength": 2000,
                        "type": "string",
                        "description": "Optional factual context that improves captions, for example: handmade silver jewellery store. Do not include instructions or unsupported claims."
                    },
                    "language": {
                        "title": "Output language",
                        "enum": [
                            "en",
                            "es",
                            "fr",
                            "de",
                            "it",
                            "pt",
                            "nl",
                            "pl",
                            "sv",
                            "da",
                            "no",
                            "fi",
                            "cs",
                            "ro",
                            "tr",
                            "ar",
                            "hi",
                            "ja",
                            "ko",
                            "zh"
                        ],
                        "type": "string",
                        "description": "Language for generated metadata.",
                        "default": "en"
                    },
                    "tone": {
                        "title": "Tone",
                        "enum": [
                            "neutral",
                            "ecommerce",
                            "editorial"
                        ],
                        "type": "string",
                        "description": "Writing style for captions and titles.",
                        "default": "ecommerce"
                    },
                    "fields": {
                        "title": "Fields to generate",
                        "minItems": 1,
                        "uniqueItems": true,
                        "type": "array",
                        "description": "Select the metadata fields returned for each successful image.",
                        "items": {
                            "type": "string",
                            "enum": [
                                "altText",
                                "seoFilename",
                                "caption",
                                "title",
                                "keywords"
                            ],
                            "enumTitles": [
                                "Alt text",
                                "SEO filename",
                                "Caption",
                                "Title",
                                "Keywords"
                            ]
                        },
                        "default": [
                            "altText",
                            "seoFilename",
                            "caption",
                            "title",
                            "keywords"
                        ]
                    }
                }
            },
            "runsResponseSchema": {
                "type": "object",
                "properties": {
                    "data": {
                        "type": "object",
                        "properties": {
                            "id": {
                                "type": "string"
                            },
                            "actId": {
                                "type": "string"
                            },
                            "userId": {
                                "type": "string"
                            },
                            "startedAt": {
                                "type": "string",
                                "format": "date-time",
                                "example": "2025-01-08T00:00:00.000Z"
                            },
                            "finishedAt": {
                                "type": "string",
                                "format": "date-time",
                                "example": "2025-01-08T00:00:00.000Z"
                            },
                            "status": {
                                "type": "string",
                                "example": "READY"
                            },
                            "meta": {
                                "type": "object",
                                "properties": {
                                    "origin": {
                                        "type": "string",
                                        "example": "API"
                                    },
                                    "userAgent": {
                                        "type": "string"
                                    }
                                }
                            },
                            "stats": {
                                "type": "object",
                                "properties": {
                                    "inputBodyLen": {
                                        "type": "integer",
                                        "example": 2000
                                    },
                                    "rebootCount": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "restartCount": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "resurrectCount": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "computeUnits": {
                                        "type": "integer",
                                        "example": 0
                                    }
                                }
                            },
                            "options": {
                                "type": "object",
                                "properties": {
                                    "build": {
                                        "type": "string",
                                        "example": "latest"
                                    },
                                    "timeoutSecs": {
                                        "type": "integer",
                                        "example": 300
                                    },
                                    "memoryMbytes": {
                                        "type": "integer",
                                        "example": 1024
                                    },
                                    "diskMbytes": {
                                        "type": "integer",
                                        "example": 2048
                                    }
                                }
                            },
                            "buildId": {
                                "type": "string"
                            },
                            "defaultKeyValueStoreId": {
                                "type": "string"
                            },
                            "defaultDatasetId": {
                                "type": "string"
                            },
                            "defaultRequestQueueId": {
                                "type": "string"
                            },
                            "buildNumber": {
                                "type": "string",
                                "example": "1.0.0"
                            },
                            "containerUrl": {
                                "type": "string"
                            },
                            "usage": {
                                "type": "object",
                                "properties": {
                                    "ACTOR_COMPUTE_UNITS": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "DATASET_READS": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "DATASET_WRITES": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "KEY_VALUE_STORE_READS": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "KEY_VALUE_STORE_WRITES": {
                                        "type": "integer",
                                        "example": 1
                                    },
                                    "KEY_VALUE_STORE_LISTS": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "REQUEST_QUEUE_READS": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "REQUEST_QUEUE_WRITES": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "DATA_TRANSFER_INTERNAL_GBYTES": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "DATA_TRANSFER_EXTERNAL_GBYTES": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "PROXY_RESIDENTIAL_TRANSFER_GBYTES": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "PROXY_SERPS": {
                                        "type": "integer",
                                        "example": 0
                                    }
                                }
                            },
                            "usageTotalUsd": {
                                "type": "number",
                                "example": 0.00005
                            },
                            "usageUsd": {
                                "type": "object",
                                "properties": {
                                    "ACTOR_COMPUTE_UNITS": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "DATASET_READS": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "DATASET_WRITES": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "KEY_VALUE_STORE_READS": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "KEY_VALUE_STORE_WRITES": {
                                        "type": "number",
                                        "example": 0.00005
                                    },
                                    "KEY_VALUE_STORE_LISTS": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "REQUEST_QUEUE_READS": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "REQUEST_QUEUE_WRITES": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "DATA_TRANSFER_INTERNAL_GBYTES": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "DATA_TRANSFER_EXTERNAL_GBYTES": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "PROXY_RESIDENTIAL_TRANSFER_GBYTES": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "PROXY_SERPS": {
                                        "type": "integer",
                                        "example": 0
                                    }
                                }
                            }
                        }
                    }
                }
            }
        }
    }
}
```