Post / Reply Tweet API｜ Twitter | 2025 | $10/m

Pricing

$20.00/month + usage

Post / Reply Tweet API｜ Twitter | 2025 | $10/m

Post / Reply Tweet lets you automate tweet posting without needing Twitter API access or a developer account. For just $10/month, enjoy unlimited usage with no restrictions.support delegated account

Pricing

$20.00/month + usage

Rating

0.0

(0)

Developer

fastcrawler

Maintained by Community

Actor stats

Bookmarked

Total users

Monthly active users

18 hours

Issues response

a month ago

Last modified

Categories

Social media

Automation

You can access the Post / Reply Tweet API｜ Twitter | 2025 | $10/m programmatically from your own applications by using the Apify API. You can also choose the language preference from below. To use the Apify API, you’ll need an Apify account and your API token, found in Integrations settings in Apify Console.

Python

JavaScript

CLI

OpenAPI

HTTP

MCP

{
  "openapi": "3.0.1",
  "info": {
    "version": "0.0",
    "x-build-id": "WoAjS0tDhdUY3YvVG"
  },
  "servers": [
    {
      "url": "https://api.apify.com/v2"
    }
  ],
  "paths": {
    "/acts/fastcrawler~post-reply-tweet-api-twitter-2025-10-m/run-sync-get-dataset-items": {
      "post": {
        "operationId": "run-sync-get-dataset-items-fastcrawler-post-reply-tweet-api-twitter-2025-10-m",
        "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": {
                "$ref": "#/components/schemas/inputSchema"
              }
            }
          }
        },
        "parameters": [
          {
            "name": "token",
            "in": "query",
            "required": true,
            "schema": {
              "type": "string"
            },
            "description": "Enter your Apify token here"
          }
        ],
        "responses": {
          "200": {
            "description": "OK"
          }
        }
      }
    },
    "/acts/fastcrawler~post-reply-tweet-api-twitter-2025-10-m/runs": {
      "post": {
        "operationId": "runs-sync-fastcrawler-post-reply-tweet-api-twitter-2025-10-m",
        "x-openai-isConsequential": false,
        "summary": "Executes an Actor and returns information about the initiated run in response.",
        "tags": [
          "Run Actor"
        ],
        "requestBody": {
          "required": true,
          "content": {
            "application/json": {
              "schema": {
                "$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": {
                  "$ref": "#/components/schemas/runsResponseSchema"
                }
              }
            }
          }
        }
      }
    },
    "/acts/fastcrawler~post-reply-tweet-api-twitter-2025-10-m/run-sync": {
      "post": {
        "operationId": "run-sync-fastcrawler-post-reply-tweet-api-twitter-2025-10-m",
        "x-openai-isConsequential": false,
        "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.",
        "tags": [
          "Run Actor"
        ],
        "requestBody": {
          "required": true,
          "content": {
            "application/json": {
              "schema": {
                "$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",
          "tweetContent"
        ],
        "properties": {
          "cookie": {
            "title": "Cookies",
            "type": "string",
            "description": "Cookies are used to authorize the actor with twitter \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://youtube-promotion.pages.dev/how-to-get-twitter-cookie)"
          },
          "mediaUrl": {
            "title": "Media Url",
            "type": "string",
            "description": "image url , video url, and so on"
          },
          "tweetContent": {
            "title": "Tweet Content",
            "type": "string",
            "description": "What you want to tweet"
          },
          "delegated_username": {
            "title": "delegated account username",
            "type": "string",
            "description": "delegated account username"
          },
          "schedule": {
            "title": "schedule",
            "type": "string",
            "description": "tweet Will send on schedule time,default time zone: Europe/London utc+0, eg:2025-02-11 10:37:00"
          },
          "replyTweetId": {
            "title": "Reply Tweet Id",
            "type": "string",
            "description": "The id of the tweet you want to reply to"
          }
        }
      },
      "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
                  }
                }
              }
            }
          }
        }
      }
    }
  }
}

Post / Reply Tweet API｜ Twitter | 2025 | $10/m OpenAPI definition

OpenAPI is a standard for designing and describing RESTful APIs, allowing developers to define API structure, endpoints, and data formats in a machine-readable way. It simplifies API development, integration, and documentation.

OpenAPI is effective when used with AI agents and GPTs by standardizing how these systems interact with various APIs, for reliable integrations and efficient communication.

By defining machine-readable API specifications, OpenAPI allows AI models like GPTs to understand and use varied data sources, improving accuracy. This accelerates development, reduces errors, and provides context-aware responses, making OpenAPI a core component for AI applications.

You can download the OpenAPI definitions for Post / Reply Tweet API｜ Twitter | 2025 | $10/m from the options below:

OpenAPI.json

If you’d like to learn more about how OpenAPI powers GPTs, read our blog post.

You can also check out our other API clients:

Post / Reply Tweet API｜ Twitter | 2025 | $10/m API in Python

Post / Reply Tweet API｜ Twitter | 2025 | $10/m API in JavaScript

Post / Reply Tweet API｜ Twitter | 2025 | $10/m API through CLI

Post / Reply Tweet API｜ Twitter | 2025 | $10/m API

Twitter Tweet Scraper

bhansalisoft/twitter-tweet-scraper

Twitter Tweet Scraper Bot for Scrap unlimited Tweet from Any Twitter Handler with all statistics

bhansalisoft

Twitter Tweet Reply Scrape | $0.25/1K Tweets | Pay-Per Result

kaitoeasyapi/twitter-reply

🚀 Instantly scrape Twitter/X replies & conversations with Pay only $0.25/1K tweets. Get complete reply chains, user info & engagement metrics. Perfect for sentiment analysis, market research & competitor tracking. 100% reliable data extraction, no API needed!

twlo low

575

4.5

Twitter Tweets Scraper

gentle_cloud/twitter-tweets-scraper

Enter the Twitter URL to quickly collect the latest tweet data. Based on the Twitter search interface, with countless quantity and time constraints, the tweet results are sorted in reverse chronological order.

Monkey Coder

2.4K

3.6

Tweet(X)/Twitter scraper|$0.2/1K| Pay-Per Result v2

fastcrawler/tweet-x-twitter-scraper-0-2-1k-pay-per-result-v2

Need a no-code, online Twitter (X)/Tweet scraper? Get real-time data for just $0.2 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! 🚀

fastcrawler

300

1.5

Twitter Replies Scraper

powerai/twitter-replies-scraper

Fetch the latest replies to any tweet on Twitter, with auto-pagination and detailed reply info. Supports up to your specified maxResults.

PowerAI

5.0

Tweet Detail $0.38/1K results | Pay-Per Result| 2025

fastcrawler/tweet-detail-0-38-1k-results-pay-per-result-2025

Get 1,000 results for just $0.38! Easily scrape Tweet details and get precise insights with every result! Whether you’re analyzing engagement or diving into content research, this tool offers a seamless experience for gathering accurate tweet data in real time.

fastcrawler

Twitter (X) Reply Scraper

louisdeconinck/twitter-reply-scraper

Extract detailed information about tweets and their replies from Twitter/ X.com. This scraper collects data on tweet & comment details, user information, and reply content, providing insights for social media analysis, sentiment tracking & trend monitoring. No authentication or cookies needed.

Louis Deconinck

419

1.4

Post (Tweet) Scrapper - X.com / Twitter (Pay per result)

builditn0w/x-twitter-scrapper

💰 $0.35 per 1000 tweets / custom search query

Lars

158

Twitter (X.com) Tweets & Profiles Scraper

web.harvester/twitter-scraper

Extract tweets and full profile data from any Twitter (X.com) account with our powerful scraper. Search profiles, scrape tweets with replies, or extract data via URL or username. Download in JSON, CSV, Excel, XML, or HTML—ideal for social media monitoring, content analysis, and competitive research.

Web Harvester

6.4K

3.0

X (Twitter) Post Replies Scraper

scraper_one/x-post-replies-scraper

Extract replies/comments from X posts (tweets) provided as input URLs. Retrieve comment text, author, timestamp, reactions, and more. Ideal for social media monitoring, sentiment analysis, and engagement tracking. 🚀