# Stallion Reddit Scraper (`busy_evidence/stallion-reddit-scraper`) Actor Scrape Reddit posts, comments, subreddit listings, and keyword search via public JSON API. Drop-in compatible with reddit-scraper-lite input/output. No login required. - **URL**: https://apify.com/busy\_evidence/stallion-reddit-scraper.md - **Developed by:** [Stallion S](https://apify.com/busy_evidence) (community) - **Categories:** E-commerce, Social media, Automation - **Stats:** 2 total users, 0 monthly users, 100.0% runs succeeded, 1 bookmarks - **User rating**: 5.00 out of 5 stars ## Pricing from $1.40 / 1,000 results This Actor is paid per event and usage. You are charged both the fixed price for specific events and for Apify platform usage. 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 ## Stallion Reddit Scraper **Apify Store:** [busy_evidence/stallion-reddit-scraper](https://apify.com/busy_evidence/stallion-reddit-scraper) Fast, lightweight Reddit scraper for Apify. Collect posts from subreddit listings, keyword search, and individual post URLs — **no Reddit login required**. Uses efficient HTTP requests instead of a headless browser, so runs are typically faster and cheaper. > **Disclaimer:** This is an unofficial scraper and is not affiliated with Reddit Inc. Reddit may change access rules at any time. Use responsibly and respect Reddit's terms of service. --- ### Why use this Reddit Scraper? | | This Actor | Typical browser scrapers | |---|---|---| | **Speed** | Seconds per listing page | Minutes (page render + scroll) | | **Cost** | Low memory (256–1024 MB) | High memory (browser overhead) | | **Proxy usage** | Residential proxy for listings | Residential + browser sessions | **Best for:** monitoring subreddits, lead generation, sentiment pipelines, research datasets, and scheduled jobs where you need posts fast at predictable per-result pricing. **For full comment threads and vote counts on every field**, set `maxComments` above `0` when JSON access is available, or use a browser-based scraper for maximum coverage. --- ### Features - **Browse subreddits** — `new`, `hot`, `top`, `rising`, `controversial` - **Keyword search** — global or scoped to one subreddit (`searchCommunityName`) - **Single post URLs** — scrape one thread by URL - **Nested comments** — when `maxComments > 0` (see limitations below) - **Date filters** — `postDateLimit` / `commentDateLimit` (`YYYY-MM-DD`) - **NSFW toggle** — `includeNSFW` - **Pagination resume** — pass `?after=t3_…` in start URLs - **Search → browse fallback** — empty niche search falls back to subreddit listing - **RSS fallback** — when Reddit blocks JSON (common in 2026), listings use public Atom feeds automatically --- ### How it works 1. **Phase 1 — Discovery:** listing or search URLs are crawled; post stubs are collected. 2. **Phase 2 — Enrichment (optional):** when `maxComments > 0`, each post is fetched again for full body + comments. **Data sources:** | Source | When used | What you get | |---|---|---| | `json` | Reddit JSON API responds | Full fields: scores, comment counts, comments | | `rss` | JSON blocked (403) | Title, body snippet, author, URL, date — `upVotes` and `numberOfComments` are `0`; rows include `"dataSource": "rss"` | For listing-only runs, set **`maxComments: 0`** (default). This is the fastest and most reliable mode on Apify Cloud. **Proxy:** enable Apify Proxy with residential IPs. Reddit blocks datacenter traffic quickly. --- ### How to use 1. Open this Actor on Apify Store and click **Try for free** (or run from your private Actor page). 2. Choose a mode: - **Subreddit listing** → add a URL like `https://www.reddit.com/r/python/new/` - **Search** → leave `startUrls` empty and fill `searches` - **One post** → paste a `/comments/` URL 3. Set **`maxItems`** (total results cap) and **`maxComments`** (`0` for posts only). 4. Enable **proxy** → `useApifyProxy: true` (residential recommended). 5. Click **Start** and download results as JSON, CSV, Excel, or via API. --- ### Input Provide **either** `startUrls` **or** `searches`. When `startUrls` is set, search fields are ignored. #### Input parameters | Field | Type | Default | Description | |---|---|---|---| | `startUrls` | array | — | Subreddit listings, post URLs, or paginated listing URLs | | `searches` | array | `[]` | Keywords (used when `startUrls` is empty) | | `searchCommunityName` | string | — | Restrict search to one subreddit (no `r/` prefix) | | `sort` | string | `new` | `new`, `hot`, `top`, `relevance`, `comments` | | `time` | string | `all` | `hour`, `day`, `week`, `month`, `year`, `all` | | `postDateLimit` | string | — | Only posts on/after `YYYY-MM-DD` | | `commentDateLimit` | string | — | Only comments on/after `YYYY-MM-DD` | | `maxItems` | integer | `100` | Hard cap on dataset rows | | `maxPostCount` | integer | `100` | Max posts per listing/search page | | `maxComments` | integer | `0` | Comments per post; `0` = skip comment fetch | | `scrollTimeout` | integer | `40` | Seconds to keep paginating a listing | | `includeNSFW` | boolean | `false` | Include adult content | | `searchPosts` | boolean | `true` | Search posts when using `searches` | | `searchComments` | boolean | `false` | Search comments | | `searchCommunities` | boolean | `false` | Search communities | | `searchUsers` | boolean | `false` | Search users | | `skipComments` | boolean | `false` | Skip comments even if `maxComments > 0` | | `includeMediaLinks` | boolean | `false` | Add image/video URLs (slower) | | `proxy` | object | — | Apify proxy config; residential recommended | #### Example — browse a subreddit (recommended) ```json { "startUrls": [{ "url": "https://www.reddit.com/r/cartalkuk/new/" }], "maxItems": 100, "maxPostCount": 100, "maxComments": 0, "scrollTimeout": 40, "includeNSFW": true, "proxy": { "useApifyProxy": true } } ```` #### Example — search inside a subreddit ```json { "searches": ["machine learning", "data science"], "searchCommunityName": "python", "sort": "new", "time": "year", "postDateLimit": "2024-01-01", "maxItems": 200, "maxComments": 0, "proxy": { "useApifyProxy": true } } ``` #### Example — one post with comments ```json { "startUrls": [{ "url": "https://www.reddit.com/r/python/comments/EXAMPLE/title_here/" }], "maxComments": 50, "proxy": { "useApifyProxy": true } } ``` #### Example — resume pagination ```json { "startUrls": [{ "url": "https://www.reddit.com/r/dashcam/new/?after=t3_abc123" }], "maxItems": 100, "proxy": { "useApifyProxy": true } } ``` *** ### Output Each dataset row is one **post** with a consistent, structured schema. #### Post object ```json { "dataType": "post", "parsedId": "abc123", "id": "t3_abc123", "url": "https://www.reddit.com/r/python/comments/abc123/title/", "title": "Example post title", "body": "Post selftext or empty for link posts", "parsedCommunityName": "python", "communityName": "r/python", "username": "reddit_user", "upVotes": 150, "numberOfComments": 42, "createdAt": "2025-08-01T12:00:00.000Z", "scrapedAt": "2026-07-01T12:00:00.000Z", "comments": [], "dataSource": "rss" } ``` `dataSource` appears only when the row came from RSS fallback (`"rss"`). JSON-sourced rows omit this field. #### Comment object (when `maxComments > 0`) ```json { "parsedId": "cmt1", "body": "Great post!", "username": "reader42", "upVotes": 3, "createdAt": "2025-08-01T12:05:00.000Z", "parentId": "t3_abc123" } ``` With `includeMediaLinks: true`, posts may also include `imageUrls`, `videoUrls`, `flair`, `over18`, `isVideo`, and `upVoteRatio`. *** ### Pricing This Actor uses **Pay per event** on Apify Store: | Event | Typical price | |---|---| | Actor start | ~$0.00005 per run | | Result (`apify-default-dataset-item`) | ~$0.003 per post | Example: **100 posts ≈ $0.30** (+ small start fee). Platform/proxy usage may apply depending on your monetization settings. Set a **max cost per run** in the Apify Console before large jobs. *** ### API usage Replace `YOUR_TOKEN` with your [Apify API token](https://console.apify.com/account/integrations). Actor ID: **`busy_evidence/stallion-reddit-scraper`** #### Python ```python from apify_client import ApifyClient client = ApifyClient("YOUR_TOKEN") run = client.actor("busy_evidence/stallion-reddit-scraper").call(run_input={ "startUrls": [{"url": "https://www.reddit.com/r/python/new/"}], "maxItems": 100, "maxComments": 0, "proxy": {"useApifyProxy": True}, }) items = client.dataset(run["defaultDatasetId"]).list_items().items print(f"Scraped {len(items)} posts") ``` #### JavaScript ```javascript import { ApifyClient } from 'apify-client'; const client = new ApifyClient({ token: 'YOUR_TOKEN' }); const run = await client.actor('busy_evidence/stallion-reddit-scraper').call({ startUrls: [{ url: 'https://www.reddit.com/r/python/new/' }], maxItems: 100, maxComments: 0, proxy: { useApifyProxy: true }, }); const { items } = await client.dataset(run.defaultDatasetId).listItems(); console.log(`Scraped ${items.length} posts`); ``` #### cURL ```bash curl -X POST \ "https://api.apify.com/v2/acts/busy_evidence~stallion-reddit-scraper/runs?token=YOUR_TOKEN&waitForFinish=300" \ -H "Content-Type: application/json" \ -d '{ "startUrls": [{"url": "https://www.reddit.com/r/python/new/"}], "maxItems": 100, "maxComments": 0, "proxy": {"useApifyProxy": true} }' ``` #### Integrations Export results to **Google Sheets**, **Slack**, **Zapier**, **Make**, or any webhook via Apify integrations on the run's **Export** tab. *** ### FAQ **Why enable residential proxy?**\ Reddit blocks datacenter IPs. Apify residential proxy is required for reliable runs on the platform. **Why is `maxComments` default 0?**\ Comment fetch needs the JSON API, which Reddit often blocks. Listing scans with `maxComments: 0` use RSS fallback and complete in seconds. **Why are `upVotes` and `numberOfComments` zero?**\ When JSON is blocked, the Actor falls back to RSS feeds which do not include scores or comment counts. The row will have `"dataSource": "rss"`. **What is `scrollTimeout`?**\ Seconds to keep paginating before stopping (default `40`). Increase for large subreddits or slow proxy regions. **Why fewer results than `maxItems`?**\ Reddit caps listing depth at roughly 1,000 posts per sort. Date filters and NSFW settings also reduce counts. **Does this scrape user profiles?**\ Not yet. Supported start URLs are subreddit listings (`/r/{sub}/{sort}`) and post URLs (`/r/{sub}/comments/{id}`). *** ### Limitations - Reddit JSON API access is restricted for unauthenticated clients (2026). Listings use RSS when needed. - RSS rows lack vote/comment counts and cannot fetch comment threads. - Historical listing depth is ~1,000 items per sort — use `postDateLimit` + scheduled runs for ongoing monitoring. - Search and comment modes depend on JSON availability and may return fewer fields than browser-based scrapers. *** ### Local development ```bash pip install -r requirements.txt python -m pytest tests/ apify run --input='{"startUrls":[{"url":"https://www.reddit.com/r/python/new/"}],"maxItems":5,"maxComments":0}' ``` *** ### Changelog #### 0.1.8 - RSS/Atom fallback when Reddit JSON returns 403 - `dataSource: "rss"` on fallback rows - Apify `Actor.log` for visible platform logs #### 0.1.0 - Initial release: browse, search, and post scraping # Actor input Schema ## `startUrls` (type: `array`): Reddit URLs: subreddit listings, posts, users, or search pages. When set, search fields are ignored. ## `searches` (type: `array`): Keywords for Reddit search (used when startUrls is empty). ## `searchCommunityName` (type: `string`): Restrict search to one subreddit (name only, no r/ prefix). ## `sort` (type: `string`): Sort order for listings and search. ## `time` (type: `string`): Time range for top/relevance search (posts only). ## `postDateLimit` (type: `string`): Only include posts on or after this date (YYYY-MM-DD). ## `commentDateLimit` (type: `string`): Only include comments on or after this date (YYYY-MM-DD). ## `maxItems` (type: `integer`): Hard cap on total dataset rows. ## `maxPostCount` (type: `integer`): Max posts per listing or search page. ## `maxComments` (type: `integer`): Max comments per post. 0 = skip comment extraction. ## `scrollTimeout` (type: `integer`): Seconds to keep paginating before stopping. ## `includeNSFW` (type: `boolean`): Include adult content. ## `searchPosts` (type: `boolean`): Search posts when using searches. ## `searchComments` (type: `boolean`): Search comments when using searches. ## `searchCommunities` (type: `boolean`): Search communities when using searches. ## `searchUsers` (type: `boolean`): Search users when using searches. ## `skipComments` (type: `boolean`): Skip comment extraction on post pages even if maxComments > 0. ## `includeMediaLinks` (type: `boolean`): Include image and video URLs in output (slower). ## `proxy` (type: `object`): Apify proxy settings. Residential proxy recommended for Reddit. ## Actor input object example ```json { "startUrls": [ { "url": "https://www.reddit.com/r/python/new/" } ], "searches": [], "sort": "new", "time": "all", "maxItems": 100, "maxPostCount": 100, "maxComments": 0, "scrollTimeout": 40, "includeNSFW": false, "searchPosts": true, "searchComments": false, "searchCommunities": false, "searchUsers": false, "skipComments": false, "includeMediaLinks": false, "proxy": { "useApifyProxy": true } } ``` # 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 = { "startUrls": [ { "url": "https://www.reddit.com/r/python/new/" } ], "searches": [], "proxy": { "useApifyProxy": true } }; // Run the Actor and wait for it to finish const run = await client.actor("busy_evidence/stallion-reddit-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 '' with your token. client = ApifyClient("") # Prepare the Actor input run_input = { "startUrls": [{ "url": "https://www.reddit.com/r/python/new/" }], "searches": [], "proxy": { "useApifyProxy": True }, } # Run the Actor and wait for it to finish run = client.actor("busy_evidence/stallion-reddit-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 '{ "startUrls": [ { "url": "https://www.reddit.com/r/python/new/" } ], "searches": [], "proxy": { "useApifyProxy": true } }' | apify call busy_evidence/stallion-reddit-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=busy_evidence/stallion-reddit-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Stallion Reddit Scraper", "description": "Scrape Reddit posts, comments, subreddit listings, and keyword search via public JSON API. Drop-in compatible with reddit-scraper-lite input/output. No login required.", "version": "0.1", "x-build-id": "8XHs8P54aDXWwxPcc" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/busy_evidence~stallion-reddit-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-busy_evidence-stallion-reddit-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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/busy_evidence~stallion-reddit-scraper/runs": { "post": { "operationId": "runs-sync-busy_evidence-stallion-reddit-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/busy_evidence~stallion-reddit-scraper/run-sync": { "post": { "operationId": "run-sync-busy_evidence-stallion-reddit-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "startUrls": { "title": "Start URLs", "type": "array", "description": "Reddit URLs: subreddit listings, posts, users, or search pages. When set, search fields are ignored.", "items": { "type": "object", "required": [ "url" ], "properties": { "url": { "type": "string", "title": "URL of a web page", "format": "uri" } } } }, "searches": { "title": "Search keywords", "type": "array", "description": "Keywords for Reddit search (used when startUrls is empty).", "items": { "type": "string" } }, "searchCommunityName": { "title": "Search community name", "type": "string", "description": "Restrict search to one subreddit (name only, no r/ prefix)." }, "sort": { "title": "Sort", "enum": [ "new", "hot", "top", "relevance", "comments" ], "type": "string", "description": "Sort order for listings and search.", "default": "new" }, "time": { "title": "Time filter", "enum": [ "hour", "day", "week", "month", "year", "all" ], "type": "string", "description": "Time range for top/relevance search (posts only).", "default": "all" }, "postDateLimit": { "title": "Post date limit", "type": "string", "description": "Only include posts on or after this date (YYYY-MM-DD)." }, "commentDateLimit": { "title": "Comment date limit", "type": "string", "description": "Only include comments on or after this date (YYYY-MM-DD)." }, "maxItems": { "title": "Max items", "minimum": 1, "type": "integer", "description": "Hard cap on total dataset rows.", "default": 100 }, "maxPostCount": { "title": "Max posts per listing", "minimum": 1, "type": "integer", "description": "Max posts per listing or search page.", "default": 100 }, "maxComments": { "title": "Max comments per post", "minimum": 0, "type": "integer", "description": "Max comments per post. 0 = skip comment extraction.", "default": 0 }, "scrollTimeout": { "title": "Scroll timeout (seconds)", "minimum": 1, "type": "integer", "description": "Seconds to keep paginating before stopping.", "default": 40 }, "includeNSFW": { "title": "Include NSFW", "type": "boolean", "description": "Include adult content.", "default": false }, "searchPosts": { "title": "Search posts", "type": "boolean", "description": "Search posts when using searches.", "default": true }, "searchComments": { "title": "Search comments", "type": "boolean", "description": "Search comments when using searches.", "default": false }, "searchCommunities": { "title": "Search communities", "type": "boolean", "description": "Search communities when using searches.", "default": false }, "searchUsers": { "title": "Search users", "type": "boolean", "description": "Search users when using searches.", "default": false }, "skipComments": { "title": "Skip comments", "type": "boolean", "description": "Skip comment extraction on post pages even if maxComments > 0.", "default": false }, "includeMediaLinks": { "title": "Include media links", "type": "boolean", "description": "Include image and video URLs in output (slower).", "default": false }, "proxy": { "title": "Proxy configuration", "type": "object", "description": "Apify proxy settings. Residential proxy recommended for Reddit." } } }, "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 } } } } } } } } } } ```