# X/Twitter Scraper — Fast & Cheap (`celebrated-quadraphonic/x-twitter-scraper-v3`) Actor Scrape tweets, profiles, followers & following from X/Twitter. 5 modes × 40+ fields × 15 filters × multi-account rotation. $0.20/1K results — 50% cheaper than competitors. - **URL**: https://apify.com/celebrated-quadraphonic/x-twitter-scraper-v3.md - **Developed by:** [XiaoZhi DataTools](https://apify.com/celebrated-quadraphonic) (community) - **Categories:** Social media, Developer tools, Automation - **Stats:** 1 total users, 0 monthly users, 0.0% runs succeeded, NaN bookmarks - **User rating**: No ratings yet ## Pricing from $0.20 / 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 ## X/Twitter Scraper — Fast & Cheap Scrape tweets, profiles, followers & following from X/Twitter. **5 modes × 40+ fields × 15 filters × multi-account rotation.** Built on [Scweet](https://github.com/Altimis/Scweet) (1.5K stars, actively maintained) — uses Twitter's internal GraphQL API with TLS fingerprint matching. No official API needed. ### Why Choose This Scraper? | | **This Scraper** | apidojo V2 (59K users) | kaitoeasyapi (15K users) | xquik (1K users) | |--|---|---|---|---| | **Price** | **$0.20/1K** | $0.40/1K | $0.25/1K | $0.15/1K | | **Output fields** | **40+** | ~20 | ~25 | ~30 | | **Date filter** | ✅ Works | ❌ Broken | ⚠️ UNIX only | ✅ Works | | **Tweet type filter** | ✅ 6 options | ❌ No | ❌ No | ❌ No | | **Multi-query** | ✅ One per line | ✅ Array | ✅ Array | ✅ Array | | **Multi-account** | ✅ Auto rotation | ❌ No | ❌ No | ❌ No | | **Default limit** | ✅ 100 | ❌ None ($55 bills) | ✅ 200 | ✅ 100 | | **View count** | ✅ Yes | ❌ No | ❌ No | ❌ No | | **Bookmark count** | ✅ Yes | ❌ No | ❌ No | ❌ No | | **User metadata** | ✅ 15+ fields | ⚠️ Basic | ⚠️ Basic | ⚠️ Basic | ### 5 Scraping Modes #### 1. 🔍 Search Tweets Search tweets by keyword with 15+ filters. Supports Twitter advanced search operators. #### 2. 📝 Profile Tweets Get timeline tweets from specific users. #### 3. 👥 Followers Get follower lists for any public account. #### 4. 👤 Following Get following lists for any public account. #### 5. ℹ️ User Info Get detailed profile metadata (bio, followers, verified status, etc.) ### 40+ Output Fields Per Tweet **Basic:** tweet_id, text, embedded_text, emojis, timestamp, tweet_url **Engagement:** likes, retweets, replies, view_count, bookmark_count, quote_count **Author:** username, display_name, user_id, user_followers, user_following, user_verified, user_blue_verified, user_description, user_location, user_statuses_count, user_profile_image **Content:** image_links, media_count, media_types, video_urls, hashtags, user_mentions, urls **Metadata:** lang, source, is_quote, is_reply, is_retweet, conversation_id, in_reply_to_tweet_id, in_reply_to_username, possibly_sensitive **Search:** search_term (when tagging enabled) ### 15 Search Filters | Filter | Type | Description | |--------|------|-------------| | `query` | textarea | Keywords or advanced operators. Multiple queries: one per line | | `since` | date | Only tweets after YYYY-MM-DD | | `until` | date | Only tweets before YYYY-MM-DD | | `displayType` | select | Top, Latest, Photos, Videos | | `tweetType` | select | all, originals_only, replies_only, retweets_only, exclude_replies, exclude_retweets | | `lang` | text | ISO 639-1 language code (en, es, fr, ja, zh...) | | `minLikes` | number | Minimum likes threshold | | `minRetweets` | number | Minimum retweets threshold | | `minReplies` | number | Minimum replies threshold | | `hasImages` | checkbox | Only tweets with images | | `hasVideos` | checkbox | Only tweets with videos | | `hasLinks` | checkbox | Only tweets with URLs | | `verifiedOnly` | checkbox | Only verified users | | `blueVerifiedOnly` | checkbox | Only X Premium (Blue) subscribers | | `includeSearchTerms` | checkbox | Tag results with which query found them | ### How to Get auth_token 1. Log in to [x.com](https://x.com) in your browser 2. Press **F12** → **Application** → **Cookies** → `https://x.com` 3. Copy the `auth_token` value (~40 char hex string) 4. Paste into the input field > auth_token stays valid for weeks/months. Multiple tokens = higher rate limits via auto-rotation. ### Advanced Search Examples ```` ## From a specific user from:elonmusk ## AI tweets with 100+ likes, in English AI min\_faves:100 lang:en ## Exclude retweets, images only nature -filter:retweets filter:images ## Date range + language python since:2025-01-01 until:2025-06-01 lang:en ## Multiple queries (one per line in input) machine learning deep learning neural networks ```` ### Pricing - **$0.20 per 1,000 results** — 50% cheaper than apidojo ($0.40) - Default `maxResults=100` → typical run costs **$0.02** - No hidden fees, no surprise charges ### Technical Details - Built on [Scweet](https://github.com/Altimis/Scweet) v5.3 (1.5K stars) - Uses Twitter's internal GraphQL API with TLS fingerprint matching (`curl_cffi`) - Automatic guest token management and rotation - Multi-account support for higher rate limits - Built-in deduplication (same tweet won't appear twice) - Auto-fresh GraphQL query IDs via manifest scraping ### Limitations - Requires `auth_token` from a logged-in X/Twitter session - Rate limited by Twitter (mitigated by multi-account rotation) - auth_token expires after weeks/months (needs refresh) - Private/protected accounts cannot be scraped - No conversation thread expansion (search results only) # Actor input Schema ## `mode` (type: `string`): Search tweets, user timeline, followers, following, or profile info. ## `query` (type: `string`): Keywords or Twitter advanced operators. Multiple queries: one per line. Example:\npython machine learning\ndeep learning\nneural networks ## `usernames` (type: `string`): Without @. For profile/followers/following/user_info modes. ## `authTokens` (type: `string`): X/Twitter auth_token cookies. F12 → Application → Cookies → x.com → auth_token. Multiple = auto rotation. ## `maxResults` (type: `integer`): Maximum results. Default 100 ≈ $0.02/run. ## `maxEmptyPages` (type: `integer`): Stop after this many consecutive empty pages. Lower = faster stop when results run out. ## `since` (type: `string`): Only tweets after this date. ## `until` (type: `string`): Only tweets before this date. ## `displayType` (type: `string`): Top = most relevant, Latest = newest, Photos/Videos = media only. ## `tweetType` (type: `string`): Filter by type: originals (no RT/reply), replies only, retweets only, etc. ## `lang` (type: `string`): ISO 639-1: en, es, fr, de, ja, zh, ko, pt, ru, ar, hi, etc. ## `langs` (type: `string`): Run separate queries for each language and merge results. Overrides single lang. Example: en\nja\nzh\nko ## `minLikes` (type: `integer`): Min Likes ## `minRetweets` (type: `integer`): Min Retweets ## `minReplies` (type: `integer`): Min Replies ## `hasImages` (type: `boolean`): Only tweets with images. ## `hasVideos` (type: `boolean`): Only tweets with videos. ## `hasLinks` (type: `boolean`): Only tweets with URLs. ## `hasMentions` (type: `boolean`): Only tweets that mention other users. ## `hasHashtags` (type: `boolean`): Only tweets with hashtags. ## `verifiedOnly` (type: `boolean`): Only verified users (checkmark). ## `blueVerifiedOnly` (type: `boolean`): Only X Premium (Blue) subscribers. ## `allWords` (type: `string`): Comma or newline separated. Tweets must contain ALL of these words. ## `anyWords` (type: `string`): Comma or newline separated. Tweets must contain at least ONE. ## `exactPhrases` (type: `string`): One phrase per line. Tweets must contain this exact phrase. ## `excludeWords` (type: `string`): Comma or newline separated. Exclude tweets containing these. ## `hashtagsAny` (type: `string`): Comma or newline separated. Must contain at least one. ## `hashtagsExclude` (type: `string`): Comma or newline separated. ## `fromUsers` (type: `string`): Comma or newline separated usernames. Only tweets from these users. ## `toUsers` (type: `string`): Only tweets directed to these users. ## `mentioningUsers` (type: `string`): Only tweets that mention these users. ## `place` (type: `string`): Filter by place name (e.g., 'New York', 'Tokyo', 'London'). ## `geocode` (type: `string`): Latitude,longitude,radius (e.g., '40.7128,-74.0060,10mi' or '35.6762,139.6503,50km'). ## `near` (type: `string`): Near a place name (e.g., 'San Francisco'). Use with 'Within'. ## `within` (type: `string`): Distance from 'Near' location (e.g., '15mi' or '25km'). ## `includeSearchTerms` (type: `boolean`): Add search_term column when using multiple queries. ## `proxyUrl` (type: `string`): http://user:pass@host:port ## Actor input object example ```json { "mode": "search", "query": "python programming", "usernames": "", "maxResults": 100, "maxEmptyPages": 3, "since": "", "until": "", "displayType": "Top", "tweetType": "all", "lang": "", "langs": "", "minLikes": 0, "minRetweets": 0, "minReplies": 0, "hasImages": false, "hasVideos": false, "hasLinks": false, "hasMentions": false, "hasHashtags": false, "verifiedOnly": false, "blueVerifiedOnly": false, "allWords": "", "anyWords": "", "exactPhrases": "", "excludeWords": "", "hashtagsAny": "", "hashtagsExclude": "", "fromUsers": "", "toUsers": "", "mentioningUsers": "", "place": "", "geocode": "", "near": "", "within": "", "includeSearchTerms": false, "proxyUrl": "" } ```` # 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 = { "mode": "search", "query": "python programming", "usernames": "", "authTokens": "", "maxResults": 100, "maxEmptyPages": 3, "since": "", "until": "", "displayType": "Top", "tweetType": "all", "lang": "", "langs": "", "minLikes": 0, "minRetweets": 0, "minReplies": 0, "hasImages": false, "hasVideos": false, "hasLinks": false, "hasMentions": false, "hasHashtags": false, "verifiedOnly": false, "blueVerifiedOnly": false, "allWords": "", "anyWords": "", "exactPhrases": "", "excludeWords": "", "hashtagsAny": "", "hashtagsExclude": "", "fromUsers": "", "toUsers": "", "mentioningUsers": "", "place": "", "geocode": "", "near": "", "within": "", "includeSearchTerms": false, "proxyUrl": "" }; // Run the Actor and wait for it to finish const run = await client.actor("celebrated-quadraphonic/x-twitter-scraper-v3").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 = { "mode": "search", "query": "python programming", "usernames": "", "authTokens": "", "maxResults": 100, "maxEmptyPages": 3, "since": "", "until": "", "displayType": "Top", "tweetType": "all", "lang": "", "langs": "", "minLikes": 0, "minRetweets": 0, "minReplies": 0, "hasImages": False, "hasVideos": False, "hasLinks": False, "hasMentions": False, "hasHashtags": False, "verifiedOnly": False, "blueVerifiedOnly": False, "allWords": "", "anyWords": "", "exactPhrases": "", "excludeWords": "", "hashtagsAny": "", "hashtagsExclude": "", "fromUsers": "", "toUsers": "", "mentioningUsers": "", "place": "", "geocode": "", "near": "", "within": "", "includeSearchTerms": False, "proxyUrl": "", } # Run the Actor and wait for it to finish run = client.actor("celebrated-quadraphonic/x-twitter-scraper-v3").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 '{ "mode": "search", "query": "python programming", "usernames": "", "authTokens": "", "maxResults": 100, "maxEmptyPages": 3, "since": "", "until": "", "displayType": "Top", "tweetType": "all", "lang": "", "langs": "", "minLikes": 0, "minRetweets": 0, "minReplies": 0, "hasImages": false, "hasVideos": false, "hasLinks": false, "hasMentions": false, "hasHashtags": false, "verifiedOnly": false, "blueVerifiedOnly": false, "allWords": "", "anyWords": "", "exactPhrases": "", "excludeWords": "", "hashtagsAny": "", "hashtagsExclude": "", "fromUsers": "", "toUsers": "", "mentioningUsers": "", "place": "", "geocode": "", "near": "", "within": "", "includeSearchTerms": false, "proxyUrl": "" }' | apify call celebrated-quadraphonic/x-twitter-scraper-v3 --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=celebrated-quadraphonic/x-twitter-scraper-v3", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "X/Twitter Scraper — Fast & Cheap", "description": "Scrape tweets, profiles, followers & following from X/Twitter. 5 modes × 40+ fields × 15 filters × multi-account rotation. $0.20/1K results — 50% cheaper than competitors.", "version": "3.0", "x-build-id": "qdWrU6fyS8wmxwJ7v" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/celebrated-quadraphonic~x-twitter-scraper-v3/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-celebrated-quadraphonic-x-twitter-scraper-v3", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for its completion, and returns Actor's dataset items in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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/celebrated-quadraphonic~x-twitter-scraper-v3/runs": { "post": { "operationId": "runs-sync-celebrated-quadraphonic-x-twitter-scraper-v3", "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/celebrated-quadraphonic~x-twitter-scraper-v3/run-sync": { "post": { "operationId": "run-sync-celebrated-quadraphonic-x-twitter-scraper-v3", "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": [ "authTokens" ], "properties": { "mode": { "title": "Mode", "enum": [ "search", "profile", "followers", "following", "user_info" ], "type": "string", "description": "Search tweets, user timeline, followers, following, or profile info.", "default": "search" }, "query": { "title": "Search Query", "type": "string", "description": "Keywords or Twitter advanced operators. Multiple queries: one per line. Example:\\npython machine learning\\ndeep learning\\nneural networks", "default": "" }, "usernames": { "title": "Usernames (one per line)", "type": "string", "description": "Without @. For profile/followers/following/user_info modes.", "default": "" }, "authTokens": { "title": "Auth Tokens (one per line)", "type": "string", "description": "X/Twitter auth_token cookies. F12 → Application → Cookies → x.com → auth_token. Multiple = auto rotation." }, "maxResults": { "title": "Max Results", "minimum": 1, "maximum": 10000, "type": "integer", "description": "Maximum results. Default 100 ≈ $0.02/run.", "default": 100 }, "maxEmptyPages": { "title": "Max Empty Pages", "minimum": 1, "maximum": 20, "type": "integer", "description": "Stop after this many consecutive empty pages. Lower = faster stop when results run out.", "default": 3 }, "since": { "title": "Since (YYYY-MM-DD)", "type": "string", "description": "Only tweets after this date.", "default": "" }, "until": { "title": "Until (YYYY-MM-DD)", "type": "string", "description": "Only tweets before this date.", "default": "" }, "displayType": { "title": "Sort Order", "enum": [ "Top", "Latest", "Photos", "Videos" ], "type": "string", "description": "Top = most relevant, Latest = newest, Photos/Videos = media only.", "default": "Top" }, "tweetType": { "title": "Tweet Type", "enum": [ "all", "originals_only", "replies_only", "retweets_only", "exclude_replies", "exclude_retweets" ], "type": "string", "description": "Filter by type: originals (no RT/reply), replies only, retweets only, etc.", "default": "all" }, "lang": { "title": "Language (single)", "type": "string", "description": "ISO 639-1: en, es, fr, de, ja, zh, ko, pt, ru, ar, hi, etc.", "default": "" }, "langs": { "title": "Multi-Language (one per line)", "type": "string", "description": "Run separate queries for each language and merge results. Overrides single lang. Example: en\\nja\\nzh\\nko", "default": "" }, "minLikes": { "title": "Min Likes", "minimum": 0, "type": "integer", "description": "Min Likes", "default": 0 }, "minRetweets": { "title": "Min Retweets", "minimum": 0, "type": "integer", "description": "Min Retweets", "default": 0 }, "minReplies": { "title": "Min Replies", "minimum": 0, "type": "integer", "description": "Min Replies", "default": 0 }, "hasImages": { "title": "Has Images", "type": "boolean", "description": "Only tweets with images.", "default": false }, "hasVideos": { "title": "Has Videos", "type": "boolean", "description": "Only tweets with videos.", "default": false }, "hasLinks": { "title": "Has Links", "type": "boolean", "description": "Only tweets with URLs.", "default": false }, "hasMentions": { "title": "Has @Mentions", "type": "boolean", "description": "Only tweets that mention other users.", "default": false }, "hasHashtags": { "title": "Has #Hashtags", "type": "boolean", "description": "Only tweets with hashtags.", "default": false }, "verifiedOnly": { "title": "Verified Only", "type": "boolean", "description": "Only verified users (checkmark).", "default": false }, "blueVerifiedOnly": { "title": "X Premium Only", "type": "boolean", "description": "Only X Premium (Blue) subscribers.", "default": false }, "allWords": { "title": "Must Include All Words", "type": "string", "description": "Comma or newline separated. Tweets must contain ALL of these words.", "default": "" }, "anyWords": { "title": "Include Any Word", "type": "string", "description": "Comma or newline separated. Tweets must contain at least ONE.", "default": "" }, "exactPhrases": { "title": "Exact Phrases", "type": "string", "description": "One phrase per line. Tweets must contain this exact phrase.", "default": "" }, "excludeWords": { "title": "Exclude Words", "type": "string", "description": "Comma or newline separated. Exclude tweets containing these.", "default": "" }, "hashtagsAny": { "title": "Include Hashtags", "type": "string", "description": "Comma or newline separated. Must contain at least one.", "default": "" }, "hashtagsExclude": { "title": "Exclude Hashtags", "type": "string", "description": "Comma or newline separated.", "default": "" }, "fromUsers": { "title": "From Users", "type": "string", "description": "Comma or newline separated usernames. Only tweets from these users.", "default": "" }, "toUsers": { "title": "To Users", "type": "string", "description": "Only tweets directed to these users.", "default": "" }, "mentioningUsers": { "title": "Mentioning Users", "type": "string", "description": "Only tweets that mention these users.", "default": "" }, "place": { "title": "Place", "type": "string", "description": "Filter by place name (e.g., 'New York', 'Tokyo', 'London').", "default": "" }, "geocode": { "title": "Geocode", "type": "string", "description": "Latitude,longitude,radius (e.g., '40.7128,-74.0060,10mi' or '35.6762,139.6503,50km').", "default": "" }, "near": { "title": "Near Location", "type": "string", "description": "Near a place name (e.g., 'San Francisco'). Use with 'Within'.", "default": "" }, "within": { "title": "Within Distance", "type": "string", "description": "Distance from 'Near' location (e.g., '15mi' or '25km').", "default": "" }, "includeSearchTerms": { "title": "Tag Results with Query", "type": "boolean", "description": "Add search_term column when using multiple queries.", "default": false }, "proxyUrl": { "title": "Proxy (optional)", "type": "string", "description": "http://user:pass@host:port", "default": "" } } }, "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 } } } } } } } } } } ```