Pricing

from $2.99 / 1,000 results

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. 🐦 📊

Pricing

from $2.99 / 1,000 results

Rating

0.0

(0)

Developer

EasyApi

Actor stats

Bookmarked

Total users

Monthly active users

22 days ago

Last modified

Categories

SEO tools

Social media

Integrations

You can access the X/Twitter Keywords Discovery Tool 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": "u5hL6Wd2F1EvH4Z27"
  },
  "servers": [
    {
      "url": "https://api.apify.com/v2"
    }
  ],
  "paths": {
    "/acts/easyapi~x-twitter-keywords-discovery-tool/run-sync-get-dataset-items": {
      "post": {
        "operationId": "run-sync-get-dataset-items-easyapi-x-twitter-keywords-discovery-tool",
        "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": {
                "$ref": "#/components/schemas/inputSchema"
              }
            }
          }
        },
        "parameters": [
          {
            "name": "token",
            "in": "query",
            "required": true,
            "schema": {
              "type": "string"
            },
            "description": "Enter your Apify token here"
          }
        ],
        "responses": {
          "200": {
            "description": "OK"
          }
        }
      }
    },
    "/acts/easyapi~x-twitter-keywords-discovery-tool/runs": {
      "post": {
        "operationId": "runs-sync-easyapi-x-twitter-keywords-discovery-tool",
        "x-openai-isConsequential": false,
        "summary": "Executes an Actor and returns information about the initiated run in response.",
        "tags": [
          "Run Actor"
        ],
        "requestBody": {
          "required": true,
          "content": {
            "application/json": {
              "schema": {
                "$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": {
                  "$ref": "#/components/schemas/runsResponseSchema"
                }
              }
            }
          }
        }
      }
    },
    "/acts/easyapi~x-twitter-keywords-discovery-tool/run-sync": {
      "post": {
        "operationId": "run-sync-easyapi-x-twitter-keywords-discovery-tool",
        "x-openai-isConsequential": false,
        "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.",
        "tags": [
          "Run Actor"
        ],
        "requestBody": {
          "required": true,
          "content": {
            "application/json": {
              "schema": {
                "$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": [
          "keyword"
        ],
        "properties": {
          "keyword": {
            "title": "Search Keyword",
            "type": "string",
            "description": "The keyword or hashtag to search for",
            "default": "fashion"
          },
          "useProxy": {
            "title": "Use Proxy",
            "type": "boolean",
            "description": "Whether to use proxy for requests",
            "default": true
          }
        }
      },
      "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
                  }
                }
              }
            }
          }
        }
      }
    }
  }
}

X/Twitter Keywords Discovery Tool 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 X/Twitter Keywords Discovery Tool 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:

X/Twitter Keywords Discovery Tool API in Python

X/Twitter Keywords Discovery Tool API in JavaScript

X/Twitter Keywords Discovery Tool API through CLI

X/Twitter Keywords Discovery Tool API

X (Twitter) Profile Scraper

alvaraaz/x-profile-scraper

X Profile Scraper automates extraction of X (Twitter) profiles, posts, likes, retweets, and engagement metrics. Ideal for social media analytics, competitor research, brand monitoring and marketing.

Jose Fernando Álvarez Romero

Twitter/X Post Scraper

pear_fight/twitter-scraper

Scrape Twitter/X tweets, profiles, search results, and trending topics. Extract tweet text, engagement metrics, user data, and conversations for social media monitoring and sentiment analysis.

Harald

Twitter Advanced Search Scraper

mikolabs/Twitter-advanced-search-scraper

Advanced Twitter/X scraper with powerful filtering capabilities. Extract detailed tweet info, user profiles, and media. Supports search by query, user, hashtags, and more.

mikolabs

Twitter (X.com) Tweets & Profiles Scraper

simpleapi/twitter-x-scraper

Twitter X Tweets Profiles Scraper collects tweets and profile details from any public X (Twitter) account, including bios, follower stats, timestamps, media, hashtags, and engagement metrics. Ideal for research, trend tracking, social listening, and automating structured Twitter/X data extraction

SimpleAPI

Search X By Keywords

watcher.data/search-x-by-keywords

Fast and reliable scraper for searching tweets and users on X (Twitter). Supports multiple output formats (JSON, CSV, Excel), advanced filtering options, and real-time data extraction. Perfect for social media monitoring, research, and business intelligence.

Giichi Arai

592

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

2.6

Twitter (X) Tweets 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

5.0

Twitter/X Posts Scraper

scraper-engine/twitter-x-posts-scraper

Scraper Engine

Twitter Trends Scraper

scrapapi/Twitter-Trends-Scraper

Twitter Trends Scraper extracts trending topics from X (Twitter). It collects trending hashtags, keywords, tweet volume, ranking position, and timestamps. Ideal for trend monitoring, social media research, content planning, and tracking real-time conversations.