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

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fastcrawler

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.

0.0 (0)

Pricing

$9.99/month + usage

Monthly users

Runs succeeded

>99%

Response time

0.22 hours

Last modified

3 days ago

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

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129  "components": {
130    "schemas": {
131      "inputSchema": {
132        "type": "object",
133        "required": [
134          "hashtag"
135        ],
136        "properties": {
137          "hashtag": {
138            "title": "Hashtag",
139            "type": "string",
140            "description": "A hashtag ,like #btc "
141          },
142          "sentimentAnalysis": {
143            "title": "sentiment analysis",
144            "type": "boolean",
145            "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."
146          },
147          "startTime": {
148            "title": "Start Time",
149            "type": "string",
150            "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."
151          },
152          "endTime": {
153            "title": "End Time",
154            "type": "string",
155            "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."
156          },
157          "sortBy": {
158            "title": "Sort By",
159            "enum": [
160              "Top",
161              "Latest"
162            ],
163            "type": "string",
164            "description": "Sorts search results by the given option. ",
165            "default": "Latest"
166          },
167          "maxItems": {
168            "title": "Maximum number of items on output",
169            "minimum": 1,
170            "maximum": 200,
171            "type": "integer",
172            "description": "Maximum number of items that you want as output.",
173            "default": 10
174          },
175          "minRetweets": {
176            "title": "Minimum retweets",
177            "minimum": 0,
178            "maximum": 10000000,
179            "type": "integer",
180            "description": "Returns tweets with at least the given number of retweets.",
181            "default": 0
182          },
183          "minLikes": {
184            "title": "Minimum Likes",
185            "minimum": 0,
186            "maximum": 10000000,
187            "type": "integer",
188            "description": "Returns tweets with at least the given number of Likes.",
189            "default": 0
190          },
191          "minReplies": {
192            "title": "Minimum Replies",
193            "minimum": 0,
194            "maximum": 10000000,
195            "type": "integer",
196            "description": "Returns tweets with at least the given number of replies.",
197            "default": 0
198          },
199          "lang": {
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203              "ar",
204              "bg",
205              "bn",
206              "bo",
207              "ca",
208              "ch",
209              "cs",
210              "da",
211              "de",
212              "dv",
213              "el",
214              "en",
215              "es",
216              "et",
217              "fa",
218              "fi",
219              "fr",
220              "gu",
221              "hi",
222              "ht",
223              "hu",
224              "hy",
225              "in",
226              "is",
227              "it",
228              "iu",
229              "iw",
230              "ja",
231              "ka",
232              "km",
233              "kn",
234              "ko",
235              "lo",
236              "lt",
237              "lv",
238              "ml",
239              "my",
240              "ne",
241              "nl",
242              "no",
243              "or",
244              "pa",
245              "pl",
246              "pt",
247              "ro",
248              "ru",
249              "si",
250              "sk",
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252              "sv",
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260              "vi",
261              "zh"
262            ],
263            "type": "string",
264            "description": "lang"
265          },
266          "onlyVerifiedUsers": {
267            "title": "Only verified users",
268            "type": "boolean",
269            "description": "If checked then returns tweets by users who are verified."
270          },
271          "onlyBuleVerifiedUsers": {
272            "title": "Only Twitter Blue",
273            "type": "boolean",
274            "description": "If checked then returns tweets by users who are Twitter Blue subscribers."
275          }
276        }
277      },
278      "runsResponseSchema": {
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289              },
290              "userId": {
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292              },
293              "startedAt": {
294                "type": "string",
295                "format": "date-time",
296                "example": "2025-01-08T00:00:00.000Z"
297              },
298              "finishedAt": {
299                "type": "string",
300                "format": "date-time",
301                "example": "2025-01-08T00:00:00.000Z"
302              },
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304                "type": "string",
305                "example": "READY"
306              },
307              "meta": {
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338                  "computeUnits": {
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344              "options": {
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500}

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

Pricing

Pricing model

Rental

To use this Actor, you have to pay a monthly rental fee to the developer. The rent is subtracted from your prepaid usage every month after the free trial period. You also pay for the Apify platform usage.

Free trial

30 minutes

Price

$9.99

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