# TED Talk Transcript Scraper — TXT, SRT & VTT (No Login) (`scrapersdelight/ted-transcript-scraper`) Actor

Extract any TED Talk's transcript via TED's own public API — no login, no ASR. Full text, timestamped segments & SRT/VTT in any available language, plus speaker, views, topics and TED's AI takeaway. Point it at talk URLs or a topic/speaker page. $2 per 1,000 talks.

- **URL**: https://apify.com/scrapersdelight/ted-transcript-scraper.md
- **Developed by:** [Scrapers Delight](https://apify.com/scrapersdelight) (community)
- **Categories:** Videos, AI, Automation
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, NaN bookmarks
- **User rating**: No ratings yet

## Pricing

from $1.00 / 1,000 per record returneds

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.md):

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

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

## 🎤 TED Talk Transcript Scraper — TXT, SRT, VTT

**Get any TED Talk's transcript instantly — no login, no AI transcription. TED publishes a transcript for every talk in dozens of languages, and this actor reads it straight from TED's own API: full text, timestamped segments, and ready-to-use SRT/VTT — plus the speaker, view count, topics, and TED's AI takeaway. Point it at talk URLs or a whole TED topic/speaker page.**

Because the transcript already exists, there's no speech-to-text compute — it's fast and cheap.

---

### What does it do?

For each TED talk you give it (by URL or harvested from a TED page), it returns:

- 📝 **Full transcript** (plain text) — always included
- ⏲️ **Timestamped segments** — `{start, end, text}`
- 🎬 **SRT / VTT subtitles** — ready for any editor
- 🎤 **Speaker, duration, view count, recorded/published dates**
- 🏷️ **Topics** + 💡 **TED's AI takeaway headline**
- 🌍 Any available **language**

No ASR, no API key — it reads TED's published transcript.

---

### What data does it extract?

For every talk:

- 🆔 `talk_id`, `slug`, 🔗 `url`, 🏷️ `title`
- 🎤 `speaker`, ⏱️ `duration_sec`, 👁️ `views`, 📅 `recorded_on`, `published_at`
- 🏷️ `topics[]`, 💡 `takeaway_headline`, 📝 `description`
- 🌍 `language`, 📄 `transcript`, ⏲️ `segments[]`, 🎬 `srt`, `vtt`, `segment_count`
- ✨ `is_new` (monitor), 🕒 `scraped_at`

---

### Who is it for?

- ✍️ **Writers & content teams** repurposing talks into articles, quotes, and summaries.
- 🤖 **AI / RAG dataset builders** assembling clean, multilingual speech text.
- 🔎 **Researchers & educators** searching talk content and citing passages.
- 🌍 **Localization teams** pulling transcripts across languages.

---

### How to use it (step by step)

1. Click **Try for free**.
2. Paste one or more **talk URLs** (e.g. `https://www.ted.com/talks/{slug}`) — or a **TED topic/speaker page URL**.
3. *(Optional)* set a **language** and extra **formats** (`srt`, `vtt`, `segments`).
4. Click **Start**, then open the **Dataset** tab to view/export.
5. *(Optional)* set **monitorMode** + a **pageUrl** + a **Schedule** to capture new talks automatically.

#### Quick start

```json
{ "talkUrls": ["https://www.ted.com/talks/bill_gates_the_next_outbreak_we_re_not_ready"], "transcriptFormats": ["txt", "srt"] }
````

***

### Input

| Field | What it does |
|-------|--------------|
| `talkUrls` | TED talk URLs / slugs |
| `pageUrl` | a TED topic/speaker/playlist page to harvest talk links from |
| `language` | transcript language code (default `en`) |
| `transcriptFormats` | `txt` · `segments` · `srt` · `vtt` |
| `includeTakeaways` | add topics, description, and TED's AI takeaway |
| `maxTalks` | hard cap per run (0 = unlimited) |
| `monitorMode`, `alertOnNewTalk` | recurring new-talk watcher + alerts |
| `webhookUrl`, `slackWebhookUrl`, `emailRecipients` | alert channels |
| `proxyConfiguration`, `requestConcurrency` | proxy + parallelism |

***

### Output

Each talk is one dataset record (fields above). Export to **JSON, CSV, Excel, HTML, or RSS**, or fetch via the **Apify API**.

***

### How much does it cost?

Pay-per-event — and with **no transcription compute**, it's cheap:

| Event | What it covers | Suggested price |
|-------|----------------|-----------------|
| `lot-scraped` | each talk returned | ~$0.003 / talk |
| `lot-detail-enriched` | each transcript fetched | ~$0.003 / talk |
| `monitor-run-completed` | each scheduled watch run | ~$0.05 / run |
| `new-lot-detected` | each new talk | ~$0.02 / talk |
| `alert-delivered` | each Slack/email/webhook push | ~$0.005 / alert |

*(Final per-event prices are set on the actor's pricing page.)*

***

### How does it work without AI transcription?

TED publishes a human/edited transcript for each talk, in many languages, and exposes it through a public API. This actor reads that existing transcript — it does **not** run speech-to-text, so there's no GPU/compute cost and results are instant.

***

### Is it legal to scrape TED transcripts?

TED talks and their transcripts are published publicly, and TED talks are generally released under a **Creative Commons (BY–NC–ND)** license. The output is talk content and public stats, not personal data. Scraping public data is generally legal, but **you are responsible for your use — review TED's Terms of Service and the talks' Creative Commons license, and attribute/limit redistribution accordingly.**

***

### FAQ

**Which languages?**
Whatever TED offers for the talk (often dozens). Set `language`; talks without that language are flagged.

**Is there a Whisper/ASR step?**
No — it reads TED's own transcript, so it's fast and cheap.

**Can I get subtitles?**
Yes — add `srt` and/or `vtt` to `transcriptFormats`.

**Can I grab a whole topic or speaker's talks?**
Yes — set `pageUrl` to a TED topic/speaker page and the actor harvests the talk links. Add `monitorMode` to catch new talks.

**How do I export?**
JSON, CSV, Excel, HTML, or RSS from the Dataset tab, or via the Apify API.

***

### Feedback

Want full-playlist crawling, speaker bios, or another language default? Open an issue on the actor.

# Actor input Schema

## `talkUrls` (type: `array`):

TED talks to transcribe — full https://www.ted.com/talks/{slug} URLs or bare slugs (e.g. bill\_gates\_the\_next\_outbreak\_we\_re\_not\_ready).

## `pageUrl` (type: `string`):

Any TED page that lists talks — a topic, speaker, or playlist page. The actor harvests every /talks/{slug} link it finds. Great with monitor mode to watch a topic for new talks.

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

Language code for the transcript (e.g. en, es, fr, zh-cn). TED offers many translations; if a talk has no transcript in this language the row is flagged.

## `transcriptFormats` (type: `array`):

Which transcript representations to include. Plain text is always included.

## `includeTakeaways` (type: `boolean`):

Add the talk's topics, description, and TED's AI-generated takeaway headline to each record.

## `maxTalks` (type: `integer`):

Hard cap on talks this run (0 = unlimited).

## `monitorMode` (type: `boolean`):

Recurring watcher: diff against the prior run's seen talks (per page) and output/alert ONLY new talks. Pair with a pageUrl + an Apify Schedule.

## `alertOnNewTalk` (type: `boolean`):

In monitor mode, deliver an alert for each new talk via the channels below.

## `webhookUrl` (type: `string`):

POST endpoint for new-talk alert payloads.

## `slackWebhookUrl` (type: `string`):

Slack incoming-webhook URL for formatted cards.

## `emailRecipients` (type: `array`):

Emails for the new-talk digest (via apify/send-mail).

## `proxyConfiguration` (type: `object`):

Proxy settings. Datacenter rotation is plenty.

## `requestConcurrency` (type: `integer`):

Max parallel talk fetches.

## `diagnose` (type: `boolean`):

Dev only. Dumps the raw talk-page HTML + logs parsed metadata + transcript, then exits.

## Actor input object example

```json
{
  "talkUrls": [
    "https://www.ted.com/talks/bill_gates_the_next_outbreak_we_re_not_ready"
  ],
  "language": "en",
  "transcriptFormats": [
    "txt"
  ],
  "includeTakeaways": true,
  "maxTalks": 0,
  "monitorMode": false,
  "alertOnNewTalk": true,
  "proxyConfiguration": {
    "useApifyProxy": true
  },
  "requestConcurrency": 5,
  "diagnose": false
}
```

# Actor output Schema

## `transcripts` (type: `string`):

The dataset of TED talk transcripts (one item per talk).

# 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 = {
    "talkUrls": [
        "https://www.ted.com/talks/bill_gates_the_next_outbreak_we_re_not_ready"
    ]
};

// Run the Actor and wait for it to finish
const run = await client.actor("scrapersdelight/ted-transcript-scraper").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 = { "talkUrls": ["https://www.ted.com/talks/bill_gates_the_next_outbreak_we_re_not_ready"] }

# Run the Actor and wait for it to finish
run = client.actor("scrapersdelight/ted-transcript-scraper").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 '{
  "talkUrls": [
    "https://www.ted.com/talks/bill_gates_the_next_outbreak_we_re_not_ready"
  ]
}' |
apify call scrapersdelight/ted-transcript-scraper --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "command": "npx",
            "args": [
                "mcp-remote",
                "https://mcp.apify.com/?tools=scrapersdelight/ted-transcript-scraper",
                "--header",
                "Authorization: Bearer <YOUR_API_TOKEN>"
            ]
        }
    }
}

```

## OpenAPI specification

```json
{
    "openapi": "3.0.1",
    "info": {
        "title": "TED Talk Transcript Scraper — TXT, SRT & VTT (No Login)",
        "description": "Extract any TED Talk's transcript via TED's own public API — no login, no ASR. Full text, timestamped segments & SRT/VTT in any available language, plus speaker, views, topics and TED's AI takeaway. Point it at talk URLs or a topic/speaker page. $2 per 1,000 talks.",
        "version": "0.1",
        "x-build-id": "uZPUAVYafJgtiJleG"
    },
    "servers": [
        {
            "url": "https://api.apify.com/v2"
        }
    ],
    "paths": {
        "/acts/scrapersdelight~ted-transcript-scraper/run-sync-get-dataset-items": {
            "post": {
                "operationId": "run-sync-get-dataset-items-scrapersdelight-ted-transcript-scraper",
                "x-openai-isConsequential": false,
                "summary": "Executes an Actor, waits for its completion, and returns Actor's dataset items in response.",
                "tags": [
                    "Run Actor"
                ],
                "requestBody": {
                    "required": true,
                    "content": {
                        "application/json": {
                            "schema": {
                                "$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/scrapersdelight~ted-transcript-scraper/runs": {
            "post": {
                "operationId": "runs-sync-scrapersdelight-ted-transcript-scraper",
                "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/scrapersdelight~ted-transcript-scraper/run-sync": {
            "post": {
                "operationId": "run-sync-scrapersdelight-ted-transcript-scraper",
                "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": {
                    "talkUrls": {
                        "title": "Talk URLs / slugs",
                        "type": "array",
                        "description": "TED talks to transcribe — full https://www.ted.com/talks/{slug} URLs or bare slugs (e.g. bill_gates_the_next_outbreak_we_re_not_ready).",
                        "items": {
                            "type": "string"
                        }
                    },
                    "pageUrl": {
                        "title": "TED page URL (optional)",
                        "type": "string",
                        "description": "Any TED page that lists talks — a topic, speaker, or playlist page. The actor harvests every /talks/{slug} link it finds. Great with monitor mode to watch a topic for new talks."
                    },
                    "language": {
                        "title": "Transcript language",
                        "type": "string",
                        "description": "Language code for the transcript (e.g. en, es, fr, zh-cn). TED offers many translations; if a talk has no transcript in this language the row is flagged.",
                        "default": "en"
                    },
                    "transcriptFormats": {
                        "title": "Transcript formats",
                        "type": "array",
                        "description": "Which transcript representations to include. Plain text is always included.",
                        "items": {
                            "type": "string",
                            "enum": [
                                "txt",
                                "segments",
                                "srt",
                                "vtt"
                            ],
                            "enumTitles": [
                                "Plain text",
                                "Timestamped segments (array)",
                                "SRT subtitles",
                                "VTT subtitles"
                            ]
                        },
                        "default": [
                            "txt"
                        ]
                    },
                    "includeTakeaways": {
                        "title": "Include topics, description & AI takeaway",
                        "type": "boolean",
                        "description": "Add the talk's topics, description, and TED's AI-generated takeaway headline to each record.",
                        "default": true
                    },
                    "maxTalks": {
                        "title": "Max talks per run",
                        "minimum": 0,
                        "type": "integer",
                        "description": "Hard cap on talks this run (0 = unlimited).",
                        "default": 0
                    },
                    "monitorMode": {
                        "title": "Monitor mode (new-talk watcher)",
                        "type": "boolean",
                        "description": "Recurring watcher: diff against the prior run's seen talks (per page) and output/alert ONLY new talks. Pair with a pageUrl + an Apify Schedule.",
                        "default": false
                    },
                    "alertOnNewTalk": {
                        "title": "Alert on new talks",
                        "type": "boolean",
                        "description": "In monitor mode, deliver an alert for each new talk via the channels below.",
                        "default": true
                    },
                    "webhookUrl": {
                        "title": "Webhook URL",
                        "type": "string",
                        "description": "POST endpoint for new-talk alert payloads."
                    },
                    "slackWebhookUrl": {
                        "title": "Slack webhook URL",
                        "type": "string",
                        "description": "Slack incoming-webhook URL for formatted cards."
                    },
                    "emailRecipients": {
                        "title": "Email recipients",
                        "type": "array",
                        "description": "Emails for the new-talk digest (via apify/send-mail).",
                        "items": {
                            "type": "string"
                        }
                    },
                    "proxyConfiguration": {
                        "title": "Proxy",
                        "type": "object",
                        "description": "Proxy settings. Datacenter rotation is plenty.",
                        "default": {
                            "useApifyProxy": true
                        }
                    },
                    "requestConcurrency": {
                        "title": "Request concurrency",
                        "minimum": 1,
                        "maximum": 10,
                        "type": "integer",
                        "description": "Max parallel talk fetches.",
                        "default": 5
                    },
                    "diagnose": {
                        "title": "Diagnostic mode (dev)",
                        "type": "boolean",
                        "description": "Dev only. Dumps the raw talk-page HTML + logs parsed metadata + transcript, then exits.",
                        "default": false
                    }
                }
            },
            "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
                                    }
                                }
                            }
                        }
                    }
                }
            }
        }
    }
}
```