# Tweet(X)/Twitter scraper|$0.05/1K| Pay-Per Result v2 (`fastcrawler/tweet-x-twitter-scraper-0-05-1k-pay-per-result-v2`) Actor Need a no-code, online Twitter (X)/Tweet scraper? Get real-time data for just $0.1 per 1K results with our pay-per-result model—no hidden fees! Extract tweets, profiles, and engagement metrics instantly. Fast, reliable, and cost-effective. Start scraping now! 🚀 - **URL**: https://apify.com/fastcrawler/tweet-x-twitter-scraper-0-05-1k-pay-per-result-v2.md - **Developed by:** [fastcrawler](https://apify.com/fastcrawler) (community) - **Categories:** Social media - **Stats:** 694 total users, 59 monthly users, 97.3% runs succeeded, 17 bookmarks - **User rating**: 1.94 out of 5 stars ## Pricing from $0.18 / 1,000 tweets 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 ### Tweet(X) Fast&Cheapest scraper|$0.1/1K| Pay-Per Result |2026 Looking for the fastest and most cost-effective Twitter (X) scraping solution? Our Tweet(X) Fast & Cheapest Scraper delivers real-time Twitter data at just $0.35 per 1K results, making it the most affordable choice on the market. Whether you need tweets, user profiles, or engagement metrics, our pay-per-result model ensures you only pay for what you get—no hidden fees, no wasted resources. Optimized for speed and accuracy, our scraper handles high-volume extractions effortlessly, giving you instant access to the data you need. Stay ahead of trends, monitor keywords, and track competitors with precision. Start scraping now and maximize your insights! 🚀 ### Contact and Feature Requests - If you need customized features or have specific requirements - support for second-level tweet monitoring [Track X Influencers Tweets in Real-time](https://xmonitor.online) - Real-time username change monitoring - real-time follow activity monitoring, feel free to contact me - If you need any sort of support, please send an email to fastcrawler9@gmail.com | [tg](https://t.me/+MUMR3PKOoVVjNzE9) | [discord](https://discord.gg/s4jyupzaWu) ### Input Parameters | Field | Type | Description | |----|----------|---------------| | Start URLs | array | Twitter (X) URLs. Paste the URLs and get the results immediately. | | Start Time | string | Specify the datetime (yyyy-MM-dd_HH:mm:ss_UTC),Returns tweets sent after the given date. | | End Time | string | Specify the datetime (yyyy-MM-dd_HH:mm:ss_UTC),Returns tweets sent before the given date. | | searchTerms | array | Search terms you want to search from Twitter (X). You can refer to [this](https://github.com/igorbrigadir/twitter-advanced-search) documentation. eg: from:nasa until:2024-10-08_23:59:59_UTC since:2024-10-08_00:00:00_UTC -filter:replies | | Conversation IDs | array | Conversation IDs that you want to search on Twitter (X), Tweets that are part of a thread (direct replies and other replies) | | Sort By | string | Sorts search results by the given option. | | Maximum number of items on output | int | Maximum number of items that you want as output. | | Minimum retweets | int | Returns tweets with at least the given number of retweets. | | Minimum Likes | int | Returns tweets with at least the given number of Likes. | | Minimum Replies | int | Returns tweets with at least the given number of replies. | | Only verified users | boolean | If checked then returns tweets by users who are verified. | | Only Twitter Blue | boolean | If checked then returns tweets by users who are Twitter Blue subscribers. | | Only image | boolean | If checked then returns tweets that contain images. | | Only video | boolean | If checked then returns tweets that contain videos. | | Only quote | boolean | If checked then returns tweets that are quotes. | | Only Reply | boolean | If checked then returns tweets that are replies. | ### Output Example ```` ``` { "type": "tweet", "id": "1896710161546506732", "url": "https://x.com/themainsquid1/status/1896710161546506732", "twitterUrl": "https://twitter.com/themainsquid1/status/1896710161546506732", "text": "@SOLAXYTOKEN We shall see", "source": "Twitter for iPhone", "retweetCount": 0, "replyCount": 1, "likeCount": 0, "quoteCount": 2, "viewCount": 35, "createdAt": "Mon Mar 03 23:51:56 +0000 2025", "lang": "en", "bookmarkCount": 0, "isReply": true, "inReplyToId": "1895950135865327920", "conversationId": "1895950135865327920", "inReplyToUserId": "1863672222734323712", "inReplyToUsername": "SOLAXYTOKEN", "author": { "type": "user", "userName": "themainsquid1", "url": "https://x.com/themainsquid1", "twitterUrl": "https://twitter.com/themainsquid1", "id": "1885048650016989184", "name": "lTyler", "isVerified": false, "isBlueVerified": false, "profilePicture": "https://pbs.twimg.com/profile_images/1892261696506368000/SY_mBevU_normal.jpg", "coverPicture": "https://pbs.twimg.com/profile_banners/1885048650016989184/1739985331", "description": "", "location": "", "followers": 79, "following": 54, "status": "", "canDm": false, "canMediaTag": true, "createdAt": "Thu Jan 30 19:33:32 +0000 2025", "entities": { "description": { "urls": [] }, "url": {} }, "fastFollowersCount": 0, "favouritesCount": 355, "hasCustomTimelines": true, "isTranslator": false, "mediaCount": 4, "statusesCount": 228, "withheldInCountries": [], "affiliatesHighlightedLabel": {}, "possiblySensitive": false, "pinnedTweetIds": [ "1892021531368165565" ], "profile_bio": { "description": "🇺🇸 🌍 ✌️", "entities": { "description": {} } }, "isAutomated": false, "automatedBy": null }, "extendedEntities": {}, "card": null, "place": {}, "entities": { "user_mentions": [ { "id_str": "1863672222734323712", "indices": [ 0, 12 ], "name": "SOLAXY", "screen_name": "SOLAXYTOKEN" } ] }, "quoted_tweet": null, "retweeted_tweet": null } ``` ```` # Actor input Schema ## `startUrls` (type: `array`): Twitter (X) URLs. Paste the URLs and get the results immediately. ## `startTime` (type: `string`): Specify the datetime (yyyy-MM-dd_HH:mm:ss_UTC，2024-10-20_00:00:00_UTC),Returns tweets sent after the given date. ## `endTime` (type: `string`): Specify the datetime (yyyy-MM-dd_HH:mm:ss_UTC，2024-10-20_23:59:59_UTC),Returns tweets sent before the given date. ## `searchTerms` (type: `array`): Search terms you want to search from Twitter (X). Refer to https://github.com/igorbrigadir/twitter-advanced-search. eg: from:elonmusk until:2024-10-08_23:59:59_UTC since:2024-10-08_00:00:00_UTC -filter:replies ## `conversationIds` (type: `array`): Conversation IDs that you want to search on Twitter (X), Tweets that are part of a thread (direct replies and other replies) ## `sortBy` (type: `string`): Sorts search results by the given option. ## `maxItems` (type: `integer`): Maximum number of items that you want as output. ## `minRetweets` (type: `integer`): Returns tweets with at least the given number of retweets. ## `minLikes` (type: `integer`): Returns tweets with at least the given number of Likes. ## `minReplies` (type: `integer`): Returns tweets with at least the given number of replies. ## `onlyVerifiedUsers` (type: `boolean`): If checked then returns tweets by users who are verified. ## `onlyBuleVerifiedUsers` (type: `boolean`): If checked then returns tweets by users who are Twitter Blue subscribers. ## `onlyImage` (type: `boolean`): If checked then returns tweets that contain images. ## `onlyVideo` (type: `boolean`): If checked then returns tweets that contain videos. ## `onlyQuote` (type: `boolean`): If checked then returns tweets that are quotes. ## `onlyReply` (type: `boolean`): If checked then returns tweets that are replies. ## Actor input object example ```json { "searchTerms": [ "from:elonmusk" ], "sortBy": "Latest", "maxItems": 10, "minRetweets": 0, "minLikes": 0, "minReplies": 0 } ```` # 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 = { "searchTerms": [ "from:elonmusk" ], "sortBy": "Latest", "onlyVerifiedUsers": false, "onlyBuleVerifiedUsers": false, "onlyImage": false, "onlyVideo": false, "onlyQuote": false, "onlyReply": false }; // Run the Actor and wait for it to finish const run = await client.actor("fastcrawler/tweet-x-twitter-scraper-0-05-1k-pay-per-result-v2").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 = { "searchTerms": ["from:elonmusk"], "sortBy": "Latest", "onlyVerifiedUsers": False, "onlyBuleVerifiedUsers": False, "onlyImage": False, "onlyVideo": False, "onlyQuote": False, "onlyReply": False, } # Run the Actor and wait for it to finish run = client.actor("fastcrawler/tweet-x-twitter-scraper-0-05-1k-pay-per-result-v2").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 '{ "searchTerms": [ "from:elonmusk" ], "sortBy": "Latest", "onlyVerifiedUsers": false, "onlyBuleVerifiedUsers": false, "onlyImage": false, "onlyVideo": false, "onlyQuote": false, "onlyReply": false }' | apify call fastcrawler/tweet-x-twitter-scraper-0-05-1k-pay-per-result-v2 --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=fastcrawler/tweet-x-twitter-scraper-0-05-1k-pay-per-result-v2", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Tweet(X)/Twitter scraper|$0.05/1K| Pay-Per Result v2", "description": "Need a no-code, online Twitter (X)/Tweet scraper? Get real-time data for just $0.1 per 1K results with our pay-per-result model—no hidden fees! Extract tweets, profiles, and engagement metrics instantly. Fast, reliable, and cost-effective. Start scraping now! 🚀", "version": "0.0", "x-build-id": "njCLOSGHlboAKXef3" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/fastcrawler~tweet-x-twitter-scraper-0-05-1k-pay-per-result-v2/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-fastcrawler-tweet-x-twitter-scraper-0-05-1k-pay-per-result-v2", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for its completion, and returns Actor's dataset items in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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/fastcrawler~tweet-x-twitter-scraper-0-05-1k-pay-per-result-v2/runs": { "post": { "operationId": "runs-sync-fastcrawler-tweet-x-twitter-scraper-0-05-1k-pay-per-result-v2", "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/fastcrawler~tweet-x-twitter-scraper-0-05-1k-pay-per-result-v2/run-sync": { "post": { "operationId": "run-sync-fastcrawler-tweet-x-twitter-scraper-0-05-1k-pay-per-result-v2", "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": "Twitter (X) URLs. Paste the URLs and get the results immediately. ", "items": { "type": "string" } }, "startTime": { "title": "Start Time", "type": "string", "description": "Specify the datetime (yyyy-MM-dd_HH:mm:ss_UTC，2024-10-20_00:00:00_UTC),Returns tweets sent after the given date." }, "endTime": { "title": "End Time", "type": "string", "description": "Specify the datetime (yyyy-MM-dd_HH:mm:ss_UTC，2024-10-20_23:59:59_UTC),Returns tweets sent before the given date." }, "searchTerms": { "title": "Search Terms", "type": "array", "description": "Search terms you want to search from Twitter (X). Refer to https://github.com/igorbrigadir/twitter-advanced-search. eg: from:elonmusk until:2024-10-08_23:59:59_UTC since:2024-10-08_00:00:00_UTC -filter:replies", "items": { "type": "string" } }, "conversationIds": { "title": "Conversation IDs", "type": "array", "description": "Conversation IDs that you want to search on Twitter (X), Tweets that are part of a thread (direct replies and other replies)", "items": { "type": "string" } }, "sortBy": { "title": "Sort By", "enum": [ "Top", "Latest" ], "type": "string", "description": "Sorts search results by the given option. ", "default": "Latest" }, "maxItems": { "title": "Maximum number of items on output", "minimum": 1, "maximum": 5000, "type": "integer", "description": "Maximum number of items that you want as output.", "default": 10 }, "minRetweets": { "title": "Minimum retweets", "minimum": 0, "maximum": 10000000, "type": "integer", "description": "Returns tweets with at least the given number of retweets.", "default": 0 }, "minLikes": { "title": "Minimum Likes", "minimum": 0, "maximum": 10000000, "type": "integer", "description": "Returns tweets with at least the given number of Likes.", "default": 0 }, "minReplies": { "title": "Minimum Replies", "minimum": 0, "maximum": 10000000, "type": "integer", "description": "Returns tweets with at least the given number of replies.", "default": 0 }, "onlyVerifiedUsers": { "title": "Only verified users", "type": "boolean", "description": "If checked then returns tweets by users who are verified." }, "onlyBuleVerifiedUsers": { "title": "Only Twitter Blue", "type": "boolean", "description": "If checked then returns tweets by users who are Twitter Blue subscribers." }, "onlyImage": { "title": "Only image", "type": "boolean", "description": "If checked then returns tweets that contain images." }, "onlyVideo": { "title": "Only video", "type": "boolean", "description": "If checked then returns tweets that contain videos." }, "onlyQuote": { "title": "Only quote", "type": "boolean", "description": "If checked then returns tweets that are quotes." }, "onlyReply": { "title": "Only Reply", "type": "boolean", "description": "If checked then returns tweets that are replies." } } }, "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 } } } } } } } } } } ```