# Twitter Auto Follow Profile (`automationagents/twitter-auto-follow-profile`) Actor Follow a target Twitter/X profile using an authenticated session. - **URL**: https://apify.com/automationagents/twitter-auto-follow-profile.md - **Developed by:** [Alex Jordan](https://apify.com/automationagents) (community) - **Categories:** Automation - **Stats:** 1 total users, 0 monthly users, 0.0% runs succeeded, 0 bookmarks - **User rating**: No ratings yet ## Pricing from $1.70 / 1,000 successful api calls This Actor is paid per event. You are not charged for the Apify platform usage, but only a fixed price for specific events. 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 ### What does Twitter Auto Follow Profile do? **Twitter Auto Follow Profile** follows a target Twitter/X profile using an authenticated session. It is useful for workflow automation, audience building, and repeatable follow actions triggered from structured input. Built on the **Apify platform**, this Actor supports scheduling, webhooks, and dataset exports. ### Why use Twitter Auto Follow Profile? - **Audience workflows** - Trigger follows from your automation stack - **Growth operations** - Standardize follow actions across campaigns - **Action visibility** - Track follow results in Apify datasets ### How to use Twitter Auto Follow Profile 1. Open the Actor on Apify 2. Enter the target Twitter/X profile URL and required authenticated session inputs 3. Start the run 4. Review the dataset output for success or error details ### Input This Actor accepts the fields required to follow a Twitter/X profile through an authenticated session. #### Proxy object Use the `proxy` object to define how requests should be routed. Common fields are: - `ip` - Proxy host or endpoint URL - `port` - Proxy port - `username` - Proxy username - `password` - Proxy password **Example input:** ```json { "twProfileUrl": "https://x.com/example_target_account", "texAuVariables": {}, "auth_token": "example_auth_token", "ct0": "example_ct0_token", "kdt": "example_kdt_cookie", "twid": "u%3D1234567890", "user-agent": "Mozilla/5.0 (X11; Linux x86_64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/145.0.0.0 Safari/537.36", "bearerToken": "AAAAAAAAAAAAAAAAAAAAANRILgAAAAAAexampleBearerToken", "guest_token": "example_guest_token", "sec-ch-ua-platform": "\"Linux\"", "authorization": "Bearer AAAAAAAAAAAAAAAAAAAAANRILgAAAAAAexampleBearerToken", "User-Agent": "Mozilla/5.0 (X11; Linux x86_64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/145.0.0.0 Safari/537.36", "x-csrf-token": "example_ct0_token", "txSmSelfProfileUrl": "https://x.com/example_self_account", "proxy": { "ip": "http://proxy.example.com", "port": "1080", "username": "user_example|session_demo", "password": "example_proxy_password" } } ```` ### Output The Actor writes the action result to the default dataset. **Example output:** ```json { "success": true, "response": { "inputProfileUrl": "https://x.com/example_target_account", "action": "follow", "targetScreenName": "example_target_account", "targetUserId": "1234567890123456789", "followed": true, "timestamp": "2026-06-22T10:10:00.000Z" } } ``` ### Pricing / Cost estimation **$0.0017 per successful API call** on Apify. ### Support If you need adjustments for your workflow, use the Actor Issues tab or your internal support channel. # Actor input Schema ## `twProfileUrl` (type: `string`): twProfileUrl ## `texAuVariables` (type: `object`): texAuVariables ## `auth_token` (type: `string`): auth\_token ## `ct0` (type: `string`): ct0 ## `kdt` (type: `string`): kdt ## `twid` (type: `string`): twid ## `user-agent` (type: `string`): user-agent ## `bearerToken` (type: `string`): bearerToken ## `guest_token` (type: `string`): guest\_token ## `sec-ch-ua-platform` (type: `string`): sec-ch-ua-platform ## `authorization` (type: `string`): authorization ## `User-Agent` (type: `string`): User-Agent ## `x-csrf-token` (type: `string`): x-csrf-token ## `txSmSelfProfileUrl` (type: `string`): txSmSelfProfileUrl ## `proxy` (type: `object`): proxy ## Actor input object example ```json {} ``` # Actor output Schema ## `results` (type: `string`): No description # API You can run this Actor programmatically using our API. Below are code examples in JavaScript, Python, and CLI, as well as the OpenAPI specification and MCP server setup. ## JavaScript example ```javascript import { ApifyClient } from 'apify-client'; // Initialize the ApifyClient with your Apify API token // Replace the '' with your token const client = new ApifyClient({ token: '', }); // Prepare Actor input const input = {}; // Run the Actor and wait for it to finish const run = await client.actor("automationagents/twitter-auto-follow-profile").call(input); // Fetch and print Actor results from the run's dataset (if any) console.log('Results from dataset'); console.log(`💾 Check your data here: https://console.apify.com/storage/datasets/${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 = {} # Run the Actor and wait for it to finish run = client.actor("automationagents/twitter-auto-follow-profile").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 '{}' | apify call automationagents/twitter-auto-follow-profile --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=automationagents/twitter-auto-follow-profile", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Twitter Auto Follow Profile", "description": "Follow a target Twitter/X profile using an authenticated session.", "version": "0.2", "x-build-id": "0klNWdvzg7vlyICjo" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/automationagents~twitter-auto-follow-profile/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-automationagents-twitter-auto-follow-profile", "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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/automationagents~twitter-auto-follow-profile/runs": { "post": { "operationId": "runs-sync-automationagents-twitter-auto-follow-profile", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/automationagents~twitter-auto-follow-profile/run-sync": { "post": { "operationId": "run-sync-automationagents-twitter-auto-follow-profile", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": [ "twProfileUrl", "texAuVariables", "auth_token", "ct0", "kdt", "twid", "user-agent", "bearerToken", "guest_token", "sec-ch-ua-platform", "authorization", "User-Agent", "x-csrf-token", "txSmSelfProfileUrl", "proxy" ], "properties": { "twProfileUrl": { "title": "twProfileUrl", "type": "string", "description": "twProfileUrl" }, "texAuVariables": { "title": "texAuVariables", "type": "object", "description": "texAuVariables" }, "auth_token": { "title": "auth_token", "type": "string", "description": "auth_token" }, "ct0": { "title": "ct0", "type": "string", "description": "ct0" }, "kdt": { "title": "kdt", "type": "string", "description": "kdt" }, "twid": { "title": "twid", "type": "string", "description": "twid" }, "user-agent": { "title": "user-agent", "type": "string", "description": "user-agent" }, "bearerToken": { "title": "bearerToken", "type": "string", "description": "bearerToken" }, "guest_token": { "title": "guest_token", "type": "string", "description": "guest_token" }, "sec-ch-ua-platform": { "title": "sec-ch-ua-platform", "type": "string", "description": "sec-ch-ua-platform" }, "authorization": { "title": "authorization", "type": "string", "description": "authorization" }, "User-Agent": { "title": "User-Agent", "type": "string", "description": "User-Agent" }, "x-csrf-token": { "title": "x-csrf-token", "type": "string", "description": "x-csrf-token" }, "txSmSelfProfileUrl": { "title": "txSmSelfProfileUrl", "type": "string", "description": "txSmSelfProfileUrl" }, "proxy": { "title": "proxy", "type": "object", "description": "proxy" } } }, "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 } } } } } } } } } } ```