# X Twitter Auto Like Bot & Favorite API Automation (`fastcrawler/x-twitter-auto-like-bot-favorite-api-automation`) Actor The ultimate X/Twitter Auto Like Bot and Favorite API for developers and marketers. An unofficial X API alternative designed for high-volume social media automation and growth hacking. Easily trigger automatic likes on tweets via API without official rate limits or setup hassle. - **URL**: https://apify.com/fastcrawler/x-twitter-auto-like-bot-favorite-api-automation.md - **Developed by:** [fastcrawler](https://apify.com/fastcrawler) (community) - **Categories:** Social media - **Stats:** 13 total users, 1 monthly users, 100.0% runs succeeded, NaN bookmarks - **User rating**: No ratings yet ## Pricing $25.00/month + usage To use this Actor, you pay a monthly rental fee to the developer. The rent is subtracted from your prepaid usage every month after the free trial period.You also pay for the Apify platform usage, which gets cheaper the higher Apify subscription plan you have. Learn more: https://docs.apify.com/platform/actors/running/actors-in-store#rental-actors ## 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 ### Fav / Like Tweet API｜ Twitter | 2025 | $10/m Auto-like tweets without Twitter API or a developer account. Unlimited usage for just $10/month. Key Features 1. No Twitter API or Developer Account Required: Operates independently of Twitter’s official API, saving you the hassle of approvals and configuration. 2. Affordable Pricing: Costs only $10 per month, with no hidden fees, making it highly cost-effective. 3. Unlimited Usage: No restrictions on the number of tweets you can post—perfect for personal or business use. 4. Safe and Reliable: Built on the robust Apify platform, ensuring stability and security for your operations. ### Contact and Feature Requests - If you need customized features or have specific requirements - support for second-level tweet monitoring - 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 | |----|----------|---------------| | tweetId | String | The id of the tweet you want to like | | cookie | string | Cookies are used to authorize the actor with twitter. You can input multiple cookies, and when one cookie rate limit is set, it will automatically switch to another cookie to continue to capture data. | # Actor input Schema ## `cookie` (type: `string`): Cookies are used to authorize the actor with twitter You can input multiple cookies, and when one cookie rate limit is set, it will automatically switch to another cookie to continue to capture data. Follow these steps to get the cookies: 1. Install [Cookie-Editor](https://chromewebstore.google.com/detail/cookie-editor/hlkenndednhfkekhgcdicdfddnkalmdm) chrome extension 2. Login to your twitter account 3. Click on the extension and Export As 'Headers String' and export the twitter cookies 4. Paste the copied contents here. [how-to-get-twitter-cookie](https://1-usd-promotion.com/how-to-get-twitter-cookie) ## `tweetId` (type: `string`): The id of the tweet you want to fav/like ## Actor input object example ```json { "cookie": "please enter your twitter cookie", "tweetId": "please enter your tweet id" } ```` # 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 = { "cookie": "please enter your twitter cookie", "tweetId": "please enter your tweet id" }; // Run the Actor and wait for it to finish const run = await client.actor("fastcrawler/x-twitter-auto-like-bot-favorite-api-automation").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 = { "cookie": "please enter your twitter cookie", "tweetId": "please enter your tweet id", } # Run the Actor and wait for it to finish run = client.actor("fastcrawler/x-twitter-auto-like-bot-favorite-api-automation").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 '{ "cookie": "please enter your twitter cookie", "tweetId": "please enter your tweet id" }' | apify call fastcrawler/x-twitter-auto-like-bot-favorite-api-automation --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=fastcrawler/x-twitter-auto-like-bot-favorite-api-automation", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "X Twitter Auto Like Bot & Favorite API Automation", "description": "The ultimate X/Twitter Auto Like Bot and Favorite API for developers and marketers. An unofficial X API alternative designed for high-volume social media automation and growth hacking. Easily trigger automatic likes on tweets via API without official rate limits or setup hassle.", "version": "0.0", "x-build-id": "50UIT8T9lFrFReCej" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/fastcrawler~x-twitter-auto-like-bot-favorite-api-automation/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-fastcrawler-x-twitter-auto-like-bot-favorite-api-automation", "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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/fastcrawler~x-twitter-auto-like-bot-favorite-api-automation/runs": { "post": { "operationId": "runs-sync-fastcrawler-x-twitter-auto-like-bot-favorite-api-automation", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/fastcrawler~x-twitter-auto-like-bot-favorite-api-automation/run-sync": { "post": { "operationId": "run-sync-fastcrawler-x-twitter-auto-like-bot-favorite-api-automation", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": [ "cookie", "tweetId" ], "properties": { "cookie": { "title": "Cookies", "type": "string", "description": "Cookies are used to authorize the actor with twitter\n\n You can input multiple cookies, and when one cookie rate limit is set, it will automatically switch to another cookie to continue to capture data. \n\n Follow these steps to get the cookies:\n\n1. Install [Cookie-Editor](https://chromewebstore.google.com/detail/cookie-editor/hlkenndednhfkekhgcdicdfddnkalmdm) chrome extension\n2. Login to your twitter account\n3. Click on the extension and Export As 'Headers String' and export the twitter cookies\n4. Paste the copied contents here. \n\n [how-to-get-twitter-cookie](https://1-usd-promotion.com/how-to-get-twitter-cookie)" }, "tweetId": { "title": "Tweet Id", "type": "string", "description": "The id of the tweet you want to fav/like" } } }, "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 } } } } } } } } } } ```