30 minutes trial then $5.99/month - No credit card required now

Twitter Hashtag Scraper: Support Sentiment & Tone Analyzer 2025

fastcrawler/twitter-hashtag-scraper-support-sentiment-tone-analyzer-2025

30 minutes trial then $5.99/month - No credit card required now

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.

You can access the Twitter Hashtag Scraper: Support Sentiment & Tone Analyzer 2025 programmatically from your own applications by using the Apify API. You can 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.

1{
2  "openapi": "3.0.1",
3  "info": {
4    "version": "0.0",
5    "x-build-id": "I8astU01Rhl6DcZdL"
6  },
7  "servers": [
8    {
9      "url": "https://api.apify.com/v2"
10    }
11  ],
12  "paths": {
13    "/acts/fastcrawler~twitter-hashtag-scraper-support-sentiment-tone-analyzer-2025/run-sync-get-dataset-items": {
14      "post": {
15        "operationId": "run-sync-get-dataset-items-fastcrawler-twitter-hashtag-scraper-support-sentiment-tone-analyzer-2025",
16        "x-openai-isConsequential": false,
17        "summary": "Executes an Actor, waits for its completion, and returns Actor's dataset items in response.",
18        "tags": [
19          "Run Actor"
20        ],
21        "requestBody": {
22          "required": true,
23          "content": {
24            "application/json": {
25              "schema": {
26                "$ref": "#/components/schemas/inputSchema"
27              }
28            }
29          }
30        },
31        "parameters": [
32          {
33            "name": "token",
34            "in": "query",
35            "required": true,
36            "schema": {
37              "type": "string"
38            },
39            "description": "Enter your Apify token here"
40          }
41        ],
42        "responses": {
43          "200": {
44            "description": "OK"
45          }
46        }
47      }
48    },
49    "/acts/fastcrawler~twitter-hashtag-scraper-support-sentiment-tone-analyzer-2025/runs": {
50      "post": {
51        "operationId": "runs-sync-fastcrawler-twitter-hashtag-scraper-support-sentiment-tone-analyzer-2025",
52        "x-openai-isConsequential": false,
53        "summary": "Executes an Actor and returns information about the initiated run in response.",
54        "tags": [
55          "Run Actor"
56        ],
57        "requestBody": {
58          "required": true,
59          "content": {
60            "application/json": {
61              "schema": {
62                "$ref": "#/components/schemas/inputSchema"
63              }
64            }
65          }
66        },
67        "parameters": [
68          {
69            "name": "token",
70            "in": "query",
71            "required": true,
72            "schema": {
73              "type": "string"
74            },
75            "description": "Enter your Apify token here"
76          }
77        ],
78        "responses": {
79          "200": {
80            "description": "OK",
81            "content": {
82              "application/json": {
83                "schema": {
84                  "$ref": "#/components/schemas/runsResponseSchema"
85                }
86              }
87            }
88          }
89        }
90      }
91    },
92    "/acts/fastcrawler~twitter-hashtag-scraper-support-sentiment-tone-analyzer-2025/run-sync": {
93      "post": {
94        "operationId": "run-sync-fastcrawler-twitter-hashtag-scraper-support-sentiment-tone-analyzer-2025",
95        "x-openai-isConsequential": false,
96        "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.",
97        "tags": [
98          "Run Actor"
99        ],
100        "requestBody": {
101          "required": true,
102          "content": {
103            "application/json": {
104              "schema": {
105                "$ref": "#/components/schemas/inputSchema"
106              }
107            }
108          }
109        },
110        "parameters": [
111          {
112            "name": "token",
113            "in": "query",
114            "required": true,
115            "schema": {
116              "type": "string"
117            },
118            "description": "Enter your Apify token here"
119          }
120        ],
121        "responses": {
122          "200": {
123            "description": "OK"
124          }
125        }
126      }
127    }
128  },
129  "components": {
130    "schemas": {
131      "inputSchema": {
132        "type": "object",
133        "required": [
134          "cookies",
135          "hashtag"
136        ],
137        "properties": {
138          "hashtag": {
139            "title": "Hashtag",
140            "type": "string",
141            "description": "A hashtag ,like #btc "
142          },
143          "sentimentAnalysis": {
144            "title": "sentiment analysis",
145            "type": "boolean",
146            "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."
147          },
148          "startTime": {
149            "title": "Start Time",
150            "type": "string",
151            "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."
152          },
153          "endTime": {
154            "title": "End Time",
155            "type": "string",
156            "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."
157          },
158          "cookies": {
159            "title": "Cookies(please enter your twitter cookie)",
160            "type": "array",
161            "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)",
162            "items": {
163              "type": "string"
164            }
165          },
166          "sortBy": {
167            "title": "Sort By",
168            "enum": [
169              "Top",
170              "Latest"
171            ],
172            "type": "string",
173            "description": "Sorts search results by the given option. ",
174            "default": "Latest"
175          },
176          "maxItems": {
177            "title": "Maximum number of items on output",
178            "minimum": 1,
179            "maximum": 500,
180            "type": "integer",
181            "description": "Maximum number of items that you want as output.",
182            "default": 10
183          },
184          "minRetweets": {
185            "title": "Minimum retweets",
186            "minimum": 0,
187            "maximum": 10000000,
188            "type": "integer",
189            "description": "Returns tweets with at least the given number of retweets.",
190            "default": 0
191          },
192          "minLikes": {
193            "title": "Minimum Likes",
194            "minimum": 0,
195            "maximum": 10000000,
196            "type": "integer",
197            "description": "Returns tweets with at least the given number of Likes.",
198            "default": 0
199          },
200          "minReplies": {
201            "title": "Minimum Replies",
202            "minimum": 0,
203            "maximum": 10000000,
204            "type": "integer",
205            "description": "Returns tweets with at least the given number of replies.",
206            "default": 0
207          },
208          "lang": {
209            "title": "lang",
210            "enum": [
211              "am",
212              "ar",
213              "bg",
214              "bn",
215              "bo",
216              "ca",
217              "ch",
218              "cs",
219              "da",
220              "de",
221              "dv",
222              "el",
223              "en",
224              "es",
225              "et",
226              "fa",
227              "fi",
228              "fr",
229              "gu",
230              "hi",
231              "ht",
232              "hu",
233              "hy",
234              "in",
235              "is",
236              "it",
237              "iu",
238              "iw",
239              "ja",
240              "ka",
241              "km",
242              "kn",
243              "ko",
244              "lo",
245              "lt",
246              "lv",
247              "ml",
248              "my",
249              "ne",
250              "nl",
251              "no",
252              "or",
253              "pa",
254              "pl",
255              "pt",
256              "ro",
257              "ru",
258              "si",
259              "sk",
260              "sl",
261              "sv",
262              "ta",
263              "te",
264              "th",
265              "tl",
266              "tr",
267              "uk",
268              "ur",
269              "vi",
270              "zh"
271            ],
272            "type": "string",
273            "description": "lang"
274          },
275          "onlyVerifiedUsers": {
276            "title": "Only verified users",
277            "type": "boolean",
278            "description": "If checked then returns tweets by users who are verified."
279          },
280          "onlyBuleVerifiedUsers": {
281            "title": "Only Twitter Blue",
282            "type": "boolean",
283            "description": "If checked then returns tweets by users who are Twitter Blue subscribers."
284          }
285        }
286      },
287      "runsResponseSchema": {
288        "type": "object",
289        "properties": {
290          "data": {
291            "type": "object",
292            "properties": {
293              "id": {
294                "type": "string"
295              },
296              "actId": {
297                "type": "string"
298              },
299              "userId": {
300                "type": "string"
301              },
302              "startedAt": {
303                "type": "string",
304                "format": "date-time",
305                "example": "2025-01-08T00:00:00.000Z"
306              },
307              "finishedAt": {
308                "type": "string",
309                "format": "date-time",
310                "example": "2025-01-08T00:00:00.000Z"
311              },
312              "status": {
313                "type": "string",
314                "example": "READY"
315              },
316              "meta": {
317                "type": "object",
318                "properties": {
319                  "origin": {
320                    "type": "string",
321                    "example": "API"
322                  },
323                  "userAgent": {
324                    "type": "string"
325                  }
326                }
327              },
328              "stats": {
329                "type": "object",
330                "properties": {
331                  "inputBodyLen": {
332                    "type": "integer",
333                    "example": 2000
334                  },
335                  "rebootCount": {
336                    "type": "integer",
337                    "example": 0
338                  },
339                  "restartCount": {
340                    "type": "integer",
341                    "example": 0
342                  },
343                  "resurrectCount": {
344                    "type": "integer",
345                    "example": 0
346                  },
347                  "computeUnits": {
348                    "type": "integer",
349                    "example": 0
350                  }
351                }
352              },
353              "options": {
354                "type": "object",
355                "properties": {
356                  "build": {
357                    "type": "string",
358                    "example": "latest"
359                  },
360                  "timeoutSecs": {
361                    "type": "integer",
362                    "example": 300
363                  },
364                  "memoryMbytes": {
365                    "type": "integer",
366                    "example": 1024
367                  },
368                  "diskMbytes": {
369                    "type": "integer",
370                    "example": 2048
371                  }
372                }
373              },
374              "buildId": {
375                "type": "string"
376              },
377              "defaultKeyValueStoreId": {
378                "type": "string"
379              },
380              "defaultDatasetId": {
381                "type": "string"
382              },
383              "defaultRequestQueueId": {
384                "type": "string"
385              },
386              "buildNumber": {
387                "type": "string",
388                "example": "1.0.0"
389              },
390              "containerUrl": {
391                "type": "string"
392              },
393              "usage": {
394                "type": "object",
395                "properties": {
396                  "ACTOR_COMPUTE_UNITS": {
397                    "type": "integer",
398                    "example": 0
399                  },
400                  "DATASET_READS": {
401                    "type": "integer",
402                    "example": 0
403                  },
404                  "DATASET_WRITES": {
405                    "type": "integer",
406                    "example": 0
407                  },
408                  "KEY_VALUE_STORE_READS": {
409                    "type": "integer",
410                    "example": 0
411                  },
412                  "KEY_VALUE_STORE_WRITES": {
413                    "type": "integer",
414                    "example": 1
415                  },
416                  "KEY_VALUE_STORE_LISTS": {
417                    "type": "integer",
418                    "example": 0
419                  },
420                  "REQUEST_QUEUE_READS": {
421                    "type": "integer",
422                    "example": 0
423                  },
424                  "REQUEST_QUEUE_WRITES": {
425                    "type": "integer",
426                    "example": 0
427                  },
428                  "DATA_TRANSFER_INTERNAL_GBYTES": {
429                    "type": "integer",
430                    "example": 0
431                  },
432                  "DATA_TRANSFER_EXTERNAL_GBYTES": {
433                    "type": "integer",
434                    "example": 0
435                  },
436                  "PROXY_RESIDENTIAL_TRANSFER_GBYTES": {
437                    "type": "integer",
438                    "example": 0
439                  },
440                  "PROXY_SERPS": {
441                    "type": "integer",
442                    "example": 0
443                  }
444                }
445              },
446              "usageTotalUsd": {
447                "type": "number",
448                "example": 0.00005
449              },
450              "usageUsd": {
451                "type": "object",
452                "properties": {
453                  "ACTOR_COMPUTE_UNITS": {
454                    "type": "integer",
455                    "example": 0
456                  },
457                  "DATASET_READS": {
458                    "type": "integer",
459                    "example": 0
460                  },
461                  "DATASET_WRITES": {
462                    "type": "integer",
463                    "example": 0
464                  },
465                  "KEY_VALUE_STORE_READS": {
466                    "type": "integer",
467                    "example": 0
468                  },
469                  "KEY_VALUE_STORE_WRITES": {
470                    "type": "number",
471                    "example": 0.00005
472                  },
473                  "KEY_VALUE_STORE_LISTS": {
474                    "type": "integer",
475                    "example": 0
476                  },
477                  "REQUEST_QUEUE_READS": {
478                    "type": "integer",
479                    "example": 0
480                  },
481                  "REQUEST_QUEUE_WRITES": {
482                    "type": "integer",
483                    "example": 0
484                  },
485                  "DATA_TRANSFER_INTERNAL_GBYTES": {
486                    "type": "integer",
487                    "example": 0
488                  },
489                  "DATA_TRANSFER_EXTERNAL_GBYTES": {
490                    "type": "integer",
491                    "example": 0
492                  },
493                  "PROXY_RESIDENTIAL_TRANSFER_GBYTES": {
494                    "type": "integer",
495                    "example": 0
496                  },
497                  "PROXY_SERPS": {
498                    "type": "integer",
499                    "example": 0
500                  }
501                }
502              }
503            }
504          }
505        }
506      }
507    }
508  }
509}

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

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

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

Twitter Hashtag Scraper: Support Sentiment & Tone Analyzer 2025 API

Developer

fastcrawler

Actor Metrics

39 monthly users
3 stars
99% runs succeeded
4.5 hours response time
Created in Nov 2024
Modified a day ago

Categories

Developer tools

Social media

Twitter/X Reply Comment Scraper:Support Sentiment&Tone Analyzer

fastcrawler/twitter-x-reply-comment-scraper-support-sentiment-tone-analyzer

Extract up to 1,000 Twitter/X replies for just $0.01! With advanced sentiment and tone analysis, our Reply & Comment Scraper lets you sort replies by relevancy or likes effortlessly. Designed for speed and precision, it’s your ultimate tool for analyzing Twitter conversations efficiently.

fastcrawler

Twitter Cashtag Scraper: Stock & Crypto & Sentiment Analysis

fastcrawler/twitter-cashtag-scraper-stock-crypto-sentiment-analysis

Unlock Market Sentiment with the Twitter Cashtag Scraper! Get 1,000 results for just $0.01! Track symbols with lightning-fast speed and gain a deeper understanding of the bullish or bearish sentiment driving market trends with precise data extraction and sentiment analysis.

fastcrawler

Stock & Crypto KOL Tracker: Discover Top Twitter Influencers

fastcrawler/stock-crypto-kol-tracker-discover-top-twitter-influencers

Get 1,000 results for just $0.02 Identify key opinion leaders (KOLs) shaping market discussions. Stay updated with real-time insights from industry experts. Explore trending topics in the stock and crypto space. Make informed decisions based on curated content and analysis.

fastcrawler

Twitter Scraper

quacker/twitter-scraper

Scrape tweets from any Twitter user profile. Top Twitter API alternative to scrape Twitter hashtags, threads, replies, followers, images, videos, statistics, and Twitter history. Export scraped data, run the scraper via API, schedule and monitor runs or integrate with other tools.

Quacker

31k

123

Twitter (X) Follower Scraper | $0.1 / 1K Users | No Rate Limit

kaitoeasyapi/premium-x-follower-scraper-following-data

$0.1 per 1000 twitter followers/following! The most affordable X data scraper. Get instant access to follower & following lists. Trusted by marketing pros for accurate social data. Lightning - fast extraction, 99.9% success rate. Start collecting valuable twitter(X) data today!

Kaito Easy API

225

Website Content Crawler

apify/website-content-crawler

Crawl websites and extract text content to feed AI models, LLM applications, vector databases, or RAG pipelines. The Actor supports rich formatting using Markdown, cleans the HTML, downloads files, and integrates well with 🦜🔗 LangChain, LlamaIndex, and the wider LLM ecosystem.

Apify

34.5k

955

Instagram Scraper

apify/instagram-scraper

Scrape and download Instagram posts, profiles, places, hashtags, photos, and comments. Get data from Instagram using one or more Instagram URLs or search queries. Export scraped data, run the scraper via API, schedule and monitor runs or integrate with other tools.

Apify

70.6k

890

Facebook Posts Scraper

apify/facebook-posts-scraper

Extract data from hundreds of Facebook posts from one or multiple Facebook pages and profiles. Get post URL, post text, page or profile URL, timestamp, number of likes, shares, comments, and more. Download the data in JSON, CSV, and Excel and use it in apps, spreadsheets, and reports.

Apify

17.6k

267

TikTok Data Extractor

clockworks/free-tiktok-scraper

Extract data about videos, users, and channels based on hashtags or scrape full user profiles including posts, total likes, name, nickname, numbers of comments, shares, followers, following, and more.

Clockworks

20.3k

334

Cheerio Scraper

apify/cheerio-scraper

Crawls websites using raw HTTP requests, parses the HTML with the Cheerio library, and extracts data from the pages using a Node.js code. Supports both recursive crawling and lists of URLs. This actor is a high-performance alternative to apify/web-scraper for websites that do not require JavaScript.

Apify

6.2k

111