# Podcast Transcriber & Analyzer (`hgservices/podcast-transcriber`) Actor Download, Transcribe and analyze any podcast from an RSS feed, Apple Podcasts link, show name, or episode URL. - **URL**: https://apify.com/hgservices/podcast-transcriber.md - **Developed by:** [Harish Garg](https://apify.com/hgservices) (community) - **Categories:** AI, MCP servers, Agents - **Stats:** 1 total users, 0 monthly users, 0.0% runs succeeded, 0 bookmarks - **User rating**: No ratings yet ## Pricing from $12.00 / 1,000 speech to text transcriptions This Actor is paid per event. You are not charged for the Apify platform usage, but only a fixed price for specific events. Since this Actor supports Apify Store discounts, the price gets lower the higher subscription plan you have. 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 **Podcast Downloader, Transcriber & Analyzer** turns any podcast into **searchable text and structured insights**. Paste an **RSS feed**, an **Apple Podcasts link**, a **show name**, or a **direct episode link** — and get back an **accurate, speaker-labeled transcript with inline timestamps** for every episode, plus optional **AI summaries, chapters, topics, named people and brands, guest names, sentiment, ad reads, and keyword mentions** — and downloadable **SRT/VTT subtitle files**. Transcribe a single episode in seconds, or point it at a whole show to process the **entire back catalog**. Because it runs on the [Apify platform](https://apify.com), you also get a full [API](https://docs.apify.com/api/v2), [scheduling](https://docs.apify.com/platform/schedules), and one-click [integrations](https://apify.com/integrations) with Make, Zapier, Google Sheets, Slack, and more. ### What can you do with Podcast Transcriber & Analyzer? - **Media & brand monitoring** — track every mention of your brand, product, competitors, or executives across the podcasts that matter to you. - **Content repurposing** — generate show notes, blog posts, newsletters, and social clips from a transcript. - **Video & social captions** — export **SRT/VTT subtitle files** to caption a YouTube or social-video cut of an episode, with timecodes ready to drop into any editor. - **Research & due diligence** — read instead of listen, and search across hours of audio in seconds. - **SEO & discoverability** — publish episode transcripts to rank for what your guests actually said. - **Accessibility** — provide transcripts for listeners who are deaf or hard of hearing. ### How to use Podcast Transcriber & Analyzer 1. Click **Try for free**. 2. On the **Input** tab, provide **one** source: an RSS feed URL, an Apple Podcasts link, a show name, or a direct episode URL. 3. Choose **which episodes** to process — the **latest** (default), **all**, or a filter (by date range, position, title, or GUID). 4. **Analysis runs by default** (summaries, chapters, topics, entities, guests, sentiment, and ad reads). Optionally turn on **Subtitle export** (SRT/VTT) or **Store audio file**, or add **Mention keywords** to track brands. 5. Click **Start**. Timestamped transcripts and insights appear on the **Output** tab; any subtitle/audio files land in the **Storage** (key-value store) tab. ### Input You only need **one** of these to get started: | Input | Example | | --- | --- | | **RSS feed URL** | `https://feeds.buzzsprout.com/1195244.rss` | | **Apple Podcasts link** | `https://podcasts.apple.com/us/podcast/.../id1434243584` | | **Show name** | `Lex Fridman Podcast` | | **Direct episode URL** | `https://.../episode.mp3` or an episode web page | Then fine-tune with options like **which episodes** (latest / all / by date / by title), **speaker labels**, **timestamps**, **subtitle export (SRT/VTT)**, **store the audio file**, and **which analyses** to run. See the **Input** tab for the full list with descriptions and defaults. ### Output You get **one record per episode**, with show and episode metadata, the transcript, and (optionally) analysis: ```json { "showTitle": "The Interview", "episodeTitle": "Danny McBride Thinks Men Learned All the Wrong Lessons From Movies", "publishedAt": "2026-06-20T09:00:00+00:00", "durationSeconds": 2255, "transcript": "[Speaker 1 00:00:25] From The New York Times, this is the interview. I'm David Marchese...", "transcriptLength": 44755, "detectedLanguage": "en", "speakerCount": 5, "analysis": { "summary": "Danny McBride discusses his short-story collection and how it satirizes modern masculinity...", "chapters": [{ "title": "The Crisis of Modern Masculinity", "summary": "How 1980s media sold a macho ideal..." }], "topics": ["masculinity", "satire", "parenting", "storytelling"], "entities": [{ "name": "Danny McBride", "type": "person" }], "guests": ["Danny McBride"], "sentiment": { "overall": "positive", "rationale": "Lighthearted yet introspective..." }, "adReads": [{ "brand": "Apple Card", "excerpt": "No annual fee, no late fees, and no foreign transaction fees..." }], "mentions": [{ "keyword": "HBO", "count": 3, "quotes": ["...my great HBO shows..."] }] }, "subtitleKvsKeys": { "srt": "subtitles-.srt", "vtt": "subtitles-.vtt" } } ```` You can download the dataset in **JSON, CSV, Excel, or HTML**, or pull it from the API. #### Data fields | Field | Description | | --- | --- | | `showTitle`, `showAuthor`, `feedUrl`, `language`, `categories` | Podcast (show) details. | | `episodeTitle`, `publishedAt`, `durationSeconds`, `episodeNumber`, `season`, `enclosureUrl` | Episode details. | | `transcript`, `transcriptLength`, `detectedLanguage`, `speakerCount` | The transcription — speaker-labeled, with inline `[Speaker N HH:MM:SS]` timestamps when **Timestamps** is on. | | `analysis.summary`, `.chapters`, `.topics`, `.entities`, `.guests`, `.sentiment`, `.adReads`, `.mentions` | AI insights (when **Analyze** is on). | | `subtitleKvsKeys` | Keys of the generated **SRT/VTT** subtitle files in the key-value store (when **Subtitle export** is on). | | `audioKvsKey` | Where the saved audio file lives (when **Store audio** is on). | ### How much does it cost to transcribe a podcast? This Actor uses **pay-per-event** pricing, so you pay only for the work each run actually does, across four events: | Event | Unit | Charged when | | --- | --- | --- | | Episode metadata | per episode | An episode is returned (a flat baseline charge for every delivered episode, including metadata-only runs). | | Media downloaded | per MB | The episode's audio file is downloaded — needed for transcription, and for **Store audio** when enabled. | | Transcription | per audio minute | An episode is transcribed. | | Analysis | per episode | AI analysis runs for an episode (one flat charge per episode, regardless of episode length or how many analysis types you select). | Cost scales mainly with the **total audio minutes** you process, so a 5-minute news episode is a few cents while a 3-hour interview costs more. Keyword **mentions** are computed locally and are not charged. To keep runs cheap, leave **episode selection** on **latest**, or set **Max episodes**. You can try the Actor for free with your Apify free-tier credits before scaling up. ### Tips - **Transcribe a whole show:** set episode selection to **all**. Use **Max episodes** to cap a large back catalog. - **Build a podcast monitor:** add your brand and competitor names to **Mention keywords**, then [schedule](https://docs.apify.com/platform/schedules) the Actor over your favorite shows to get a running feed of mentions. - **Faster, cheaper runs:** turn off **Store audio** if you only need text, and lower **Max audio minutes** to skip very long episodes. - **Free subtitles & timestamps:** **Subtitle export** (SRT/VTT) and inline **Timestamps** are generated from the transcription you're already paying for — they add **no extra charge**. ### Frequently asked questions **Can it transcribe a Spotify link?** No — Spotify hosts its audio in a closed format. Use the show's RSS feed or its Apple Podcasts link instead (most shows are on both). **What about video podcasts on YouTube?** Use the [Speech-to-Text Transcription](https://apify.com/hgservices/speech-to-text) Actor with the video URL. **Which languages are supported?** The language is detected automatically, covering 30+ languages. **Can it transcribe private or members-only feeds?** No — the Actor only accesses publicly available episodes. **Is this legal?** Transcribing publicly available podcasts for analysis is generally fine, but you are responsible for how you use the output (respect copyright and the show's terms). Found a podcast that doesn't resolve, or have a feature request? Open an issue on the **Issues** tab — we read every one. # Actor input Schema ## `source` (type: `string`): Provide exactly one podcast reference — the type is auto-detected: - **RSS/Atom feed** — e.g. https://feeds.buzzsprout.com/1195244.rss - **Apple Podcasts link** — any podcasts.apple.com URL; add `?i=` to pin a single episode - **Show name** — resolved to its feed via the iTunes Search API - **Direct episode/audio URL** — an .mp3/.m4a/etc. file (or an episode web page); transcribed as a single episode ## `episodeSelection` (type: `string`): How to pick episodes from a feed/show. 'latest' = newest episode only. ## `maxEpisodes` (type: `integer`): Optional convenience cap for 'all'/'dateRange'. Leave empty for no cap — your run is bounded by your Apify credits and the run timeout. ## `fromDate` (type: `string`): For 'dateRange': only episodes published on/after this ISO date. ## `toDate` (type: `string`): For 'dateRange': only episodes published on/before this ISO date. ## `episodeIndex` (type: `integer`): For 'index': 0 = newest, 1 = next, ... ## `episodeGuid` (type: `string`): For 'guid': the exact episode GUID to select. ## `titleContains` (type: `string`): For 'titleMatch': select episodes whose title contains this text (case-insensitive). ## `includeTranscript` (type: `boolean`): Produce a transcript for each episode (transcribed in-process with Deepgram). ## `includeAnalysis` (type: `boolean`): Run AI analysis on each transcript — summaries, topics, entities, guests, and more. Keyword 'mentions' run independently and don't require this. ## `analysis` (type: `array`): Which AI analyses to produce per episode. ## `mentions` (type: `array`): Keywords/brands to find in each transcript (deterministic; no API key needed). Powers podcast monitoring. ## `includeAudio` (type: `boolean`): Download each episode's audio and store it in the key-value store (key 'audio-'). ## `subtitleFormats` (type: `array`): Generate subtitle files from the transcript timings and store them in the key-value store (key 'subtitles-.'). Their keys appear on each record as 'subtitleKvsKeys'. Requires transcription. ## `diarize` (type: `boolean`): Label different speakers in the transcript. ## `smartFormat` (type: `boolean`): Apply punctuation/formatting to the transcript. ## `timestamps` (type: `boolean`): Prefix each speaker turn in the transcript with its start time (HH:MM:SS), e.g. `[Speaker 1 00:01:58]`. ## `maxAudioMinutes` (type: `integer`): Skip (don't transcribe) episodes longer than this. Podcasts are long-form (some interview shows run 4–5 hours), so the default is generous. ## `proxyConfiguration` (type: `object`): Proxy used when downloading episode audio for transcription. ## Actor input object example ```json { "source": "https://podcasts.apple.com/us/podcast/the-interview/id1624946521", "episodeSelection": "latest", "episodeIndex": 0, "includeTranscript": true, "includeAnalysis": true, "analysis": [ "summary", "chapters", "topics", "entities", "guests", "sentiment", "adReads" ], "mentions": [], "includeAudio": false, "subtitleFormats": [], "diarize": true, "smartFormat": true, "timestamps": true, "maxAudioMinutes": 600, "proxyConfiguration": { "useApifyProxy": true } } ``` # Actor output Schema ## `episodes` (type: `string`): One record per episode: show/episode metadata, transcript, and optional analysis. ## `audio` (type: `string`): Downloaded episode audio stored in the key-value store (only when includeAudio is enabled). ## `subtitles` (type: `string`): Exported SRT/VTT subtitle files stored in the key-value store (only when subtitleFormats are requested). # 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 '' with your token const client = new ApifyClient({ token: '', }); // Prepare Actor input const input = { "source": "https://podcasts.apple.com/us/podcast/the-interview/id1624946521" }; // Run the Actor and wait for it to finish const run = await client.actor("hgservices/podcast-transcriber").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 '' with your token. client = ApifyClient("") # Prepare the Actor input run_input = { "source": "https://podcasts.apple.com/us/podcast/the-interview/id1624946521" } # Run the Actor and wait for it to finish run = client.actor("hgservices/podcast-transcriber").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 '{ "source": "https://podcasts.apple.com/us/podcast/the-interview/id1624946521" }' | apify call hgservices/podcast-transcriber --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=hgservices/podcast-transcriber", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Podcast Transcriber & Analyzer", "description": "Download, Transcribe and analyze any podcast from an RSS feed, Apple Podcasts link, show name, or episode URL.", "version": "0.0", "x-build-id": "j6Sddc1qrWtWYTlP9" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/hgservices~podcast-transcriber/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-hgservices-podcast-transcriber", "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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/hgservices~podcast-transcriber/runs": { "post": { "operationId": "runs-sync-hgservices-podcast-transcriber", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/hgservices~podcast-transcriber/run-sync": { "post": { "operationId": "run-sync-hgservices-podcast-transcriber", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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", "required": [ "source" ], "properties": { "source": { "title": "Podcast source (RSS feed, Apple link, show name, or episode URL)", "type": "string", "description": "Provide exactly one podcast reference — the type is auto-detected:\n- **RSS/Atom feed** — e.g. https://feeds.buzzsprout.com/1195244.rss\n- **Apple Podcasts link** — any podcasts.apple.com URL; add `?i=` to pin a single episode\n- **Show name** — resolved to its feed via the iTunes Search API\n- **Direct episode/audio URL** — an .mp3/.m4a/etc. file (or an episode web page); transcribed as a single episode" }, "episodeSelection": { "title": "Which episodes", "enum": [ "latest", "all", "dateRange", "index", "guid", "titleMatch" ], "type": "string", "description": "How to pick episodes from a feed/show. 'latest' = newest episode only.", "default": "latest" }, "maxEpisodes": { "title": "Max episodes", "minimum": 1, "type": "integer", "description": "Optional convenience cap for 'all'/'dateRange'. Leave empty for no cap — your run is bounded by your Apify credits and the run timeout." }, "fromDate": { "title": "From date (ISO)", "type": "string", "description": "For 'dateRange': only episodes published on/after this ISO date." }, "toDate": { "title": "To date (ISO)", "type": "string", "description": "For 'dateRange': only episodes published on/before this ISO date." }, "episodeIndex": { "title": "Episode index", "minimum": 0, "type": "integer", "description": "For 'index': 0 = newest, 1 = next, ...", "default": 0 }, "episodeGuid": { "title": "Episode GUID", "type": "string", "description": "For 'guid': the exact episode GUID to select." }, "titleContains": { "title": "Title contains", "type": "string", "description": "For 'titleMatch': select episodes whose title contains this text (case-insensitive)." }, "includeTranscript": { "title": "Transcribe", "type": "boolean", "description": "Produce a transcript for each episode (transcribed in-process with Deepgram).", "default": true }, "includeAnalysis": { "title": "Analyze (beta)", "type": "boolean", "description": "Run AI analysis on each transcript — summaries, topics, entities, guests, and more. Keyword 'mentions' run independently and don't require this.", "default": true }, "analysis": { "title": "Analyses to run", "type": "array", "description": "Which AI analyses to produce per episode.", "items": { "type": "string", "enum": [ "summary", "chapters", "topics", "entities", "guests", "sentiment", "adReads" ], "enumTitles": [ "Summary", "Chapters", "Topics", "Entities", "Guests", "Sentiment", "Ad reads" ] }, "default": [ "summary", "chapters", "topics", "entities", "guests", "sentiment", "adReads" ] }, "mentions": { "title": "Mention keywords", "type": "array", "description": "Keywords/brands to find in each transcript (deterministic; no API key needed). Powers podcast monitoring.", "default": [], "items": { "type": "string" } }, "includeAudio": { "title": "Store audio file", "type": "boolean", "description": "Download each episode's audio and store it in the key-value store (key 'audio-').", "default": false }, "subtitleFormats": { "title": "Subtitle export", "type": "array", "description": "Generate subtitle files from the transcript timings and store them in the key-value store (key 'subtitles-.'). Their keys appear on each record as 'subtitleKvsKeys'. Requires transcription.", "items": { "type": "string", "enum": [ "srt", "vtt" ], "enumTitles": [ "SRT (.srt)", "WebVTT (.vtt)" ] }, "default": [] }, "diarize": { "title": "Identify speakers", "type": "boolean", "description": "Label different speakers in the transcript.", "default": true }, "smartFormat": { "title": "Smart formatting", "type": "boolean", "description": "Apply punctuation/formatting to the transcript.", "default": true }, "timestamps": { "title": "Timestamps", "type": "boolean", "description": "Prefix each speaker turn in the transcript with its start time (HH:MM:SS), e.g. `[Speaker 1 00:01:58]`.", "default": true }, "maxAudioMinutes": { "title": "Max audio minutes per episode", "minimum": 1, "type": "integer", "description": "Skip (don't transcribe) episodes longer than this. Podcasts are long-form (some interview shows run 4–5 hours), so the default is generous.", "default": 600 }, "proxyConfiguration": { "title": "Proxy configuration", "type": "object", "description": "Proxy used when downloading episode audio for transcription.", "default": { "useApifyProxy": true } } } }, "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 } } } } } } } } } } ```