Twitter/X Hashtag Scraper: Support Sentiment&Tone Analyzer 2025

Pricing

$15.99/month + usage

Twitter/X Hashtag Scraper: Support Sentiment&Tone Analyzer 2025

Get 1,000 results for just $0.01! Introducing the Twitter Hashtag Fast Scraper, your go-to solution for scraping Twitter hashtags. This powerful tool combines blazing-fast speed with advanced data extraction capabilities, making it perfect for social media analysts, marketers, and researchers.

Pricing

$15.99/month + usage

Rating

1.0

(1)

Developer

fastcrawler

Maintained by Community

Actor stats

Bookmarked

413

Total users

Monthly active users

1.8 hours

Issues response

11 days ago

Last modified

Categories

Social media

You can access the Twitter/X Hashtag Scraper: Support Sentiment&Tone Analyzer 2025 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": "XsiWuSYBFsJZTaHoh"
  },
  "servers": [
    {
      "url": "https://api.apify.com/v2"
    }
  ],
  "paths": {
    "/acts/fastcrawler~twitter-x-hashtag-scraper-support-sentiment-tone-analyzer-2025/run-sync-get-dataset-items": {
      "post": {
        "operationId": "run-sync-get-dataset-items-fastcrawler-twitter-x-hashtag-scraper-support-sentiment-tone-analyzer-2025",
        "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": {
                "$ref": "#/components/schemas/inputSchema"
              }
            }
          }
        },
        "parameters": [
          {
            "name": "token",
            "in": "query",
            "required": true,
            "schema": {
              "type": "string"
            },
            "description": "Enter your Apify token here"
          }
        ],
        "responses": {
          "200": {
            "description": "OK"
          }
        }
      }
    },
    "/acts/fastcrawler~twitter-x-hashtag-scraper-support-sentiment-tone-analyzer-2025/runs": {
      "post": {
        "operationId": "runs-sync-fastcrawler-twitter-x-hashtag-scraper-support-sentiment-tone-analyzer-2025",
        "x-openai-isConsequential": false,
        "summary": "Executes an Actor and returns information about the initiated run in response.",
        "tags": [
          "Run Actor"
        ],
        "requestBody": {
          "required": true,
          "content": {
            "application/json": {
              "schema": {
                "$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": {
                  "$ref": "#/components/schemas/runsResponseSchema"
                }
              }
            }
          }
        }
      }
    },
    "/acts/fastcrawler~twitter-x-hashtag-scraper-support-sentiment-tone-analyzer-2025/run-sync": {
      "post": {
        "operationId": "run-sync-fastcrawler-twitter-x-hashtag-scraper-support-sentiment-tone-analyzer-2025",
        "x-openai-isConsequential": false,
        "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.",
        "tags": [
          "Run Actor"
        ],
        "requestBody": {
          "required": true,
          "content": {
            "application/json": {
              "schema": {
                "$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": [
          "hashtag"
        ],
        "properties": {
          "hashtag": {
            "title": "Hashtag",
            "type": "string",
            "description": "A hashtag ,like #btc "
          },
          "sentimentAnalysis": {
            "title": "sentiment analysis",
            "type": "boolean",
            "description": "Analyze the provided tweet and identify the primary \n\n **tone** (Positive, Negative, Neutral, Humorous, Sarcastic, Enthusiastic, Angry, Informative) \n\n **sentiment** (Positive, Negative, Neutral). \n\n **Note**: The analysis may take longer when checked."
          },
          "startTime": {
            "title": "Start Time",
            "type": "string",
            "description": "Specify the datetime (yyyy-MM-dd_HH:mm:ss_UTC，2024-10-20_23:59:59_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."
          },
          "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": 200,
            "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
          },
          "lang": {
            "title": "lang",
            "enum": [
              "am",
              "ar",
              "bg",
              "bn",
              "bo",
              "ca",
              "ch",
              "cs",
              "da",
              "de",
              "dv",
              "el",
              "en",
              "es",
              "et",
              "fa",
              "fi",
              "fr",
              "gu",
              "hi",
              "ht",
              "hu",
              "hy",
              "in",
              "is",
              "it",
              "iu",
              "iw",
              "ja",
              "ka",
              "km",
              "kn",
              "ko",
              "lo",
              "lt",
              "lv",
              "ml",
              "my",
              "ne",
              "nl",
              "no",
              "or",
              "pa",
              "pl",
              "pt",
              "ro",
              "ru",
              "si",
              "sk",
              "sl",
              "sv",
              "ta",
              "te",
              "th",
              "tl",
              "tr",
              "uk",
              "ur",
              "vi",
              "zh"
            ],
            "type": "string",
            "description": "lang"
          },
          "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."
          }
        }
      },
      "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
                  }
                }
              }
            }
          }
        }
      }
    }
  }
}

Twitter/X Hashtag Scraper: Support Sentiment&Tone Analyzer 2025 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 Twitter/X Hashtag Scraper: Support Sentiment&Tone Analyzer 2025 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:

Twitter/X Hashtag Scraper: Support Sentiment&Tone Analyzer 2025 API in Python

Twitter/X Hashtag Scraper: Support Sentiment&Tone Analyzer 2025 API in JavaScript

Twitter/X Hashtag Scraper: Support Sentiment&Tone Analyzer 2025 API through CLI

Twitter/X Hashtag Scraper: Support Sentiment&Tone Analyzer 2025 API

X/Twitter Keywords Discovery Tool

easyapi/x-twitter-keywords-discovery-tool

Extract comprehensive X/Twitter hashtag data and Keyword suggestion with advanced filtering capabilities. Get real-time trending hashtags, engagement metrics, and detailed analytics. Perfect for social media monitoring, trend analysis, and marketing research. 🐦 📊

EasyApi

5.0

Twitter/X Hashtag Posts Urls Scraper

sasky/x-twitter-hashtag-posts-urls-scraper

Scrapes X tweets URLs related to a given hashtag

Abdulrahman

Twitter (X.com) Search Scraper

web.harvester/easy-twitter-search-scraper

Easily extract tweets from Twitter (X.com) search results with our powerful Twitter Search Scraper. Get full tweet data, including text, engagement, media, and user info. Export in JSON, CSV, Excel, or HTML—perfect for social media monitoring, market research, competitor analysis, and trend tracking

Web Harvester

5.7K

3.6

Twitter (X) Tweets Scraper Scraper

scraper-engine/twitter-x-tweets-scraper-scraper

Scrapes posts from Twitter X profiles, hashtags, or searches, capturing tweet text, media, timestamps, metrics, authors, hashtags, and URLs. Ideal for trend research, competitor analysis, sentiment studies, influencer insights, and large-scale Twitter X post extraction.

Scraper Engine

X/Twitter Trends Scraper｜ 2025

fastcrawler/x-twitter-trends-scraper-2025

1000 results only cost 0.01$. Monitor real-time X (Twitter) trends with this scraper. Ideal for social media analysis, content creation, and trend tracking. Provides topic and tweet volume data. no-code，online

fastcrawler

163

5.0

Twitter/X Posts Scraper

scraper-engine/twitter-x-posts-scraper

Scraper Engine

Twitter Search Scraper

twittapi/twitter-search-scraper

Twitter Search Scraper

twittapi

5.0

Twitter Top Hashtags Scraper 🔍

easyapi/twitter-top-hashtags-scraper

Effortlessly scrape Twitter's most tweeted hashtags from 60+ countries worldwide. Get real-time insights into top social media topics with detailed metrics including tweet counts and timestamps. Perfect for social media analytics, market research, and content strategy planning. 🌍📊🔍

EasyApi

Twitter (X.com) Scraper Unlimited: No Limits

apidojo/twitter-scraper-lite

Introducing Twitter Scraper Unlimited, the most comprehensive Twitter data extraction solution available. Our enterprise-grade scraper offers unmatched capabilities with a transparent event-based pricing model, making it perfect for both small-scale and large-scale data extraction needs.

API Dojo

14K

3.2

X/Twitter Trends Scraper $0.5/1K results | Pay-Per Result| 2025

fastcrawler/x-twitter-trends-scraper-0-5-1k-results-pay-per-result-2025

Monitor real-time X (Twitter) trends with this scraper. Ideal for social media analysis, content creation, and trend tracking. Provides topic and tweet volume data. no-code，online

fastcrawler

114