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

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.

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Twitter Hashtag Scraper: Support Sentiment & Tone Analyzer 2025

Get 1,000 results for just $0.01! Discover sentiment and tone insights while scraping hashtags effortlessly! The Twitter Hashtag Sentiment & Tone Analyzer is your ultimate solution for fast, accurate, and affordable Twitter data extraction. Perfect for marketers, researchers, and social media analysts, this tool helps you unlock valuable insights in no time.

Key Features:

  1. Extract hashtag data quickly and efficiently.

  2. Analyze sentiment and tone for smarter insights.

  3. Apply advanced filters for precise targeting.

  4. Affordable, high-speed, and productivity-focused.

Don’t miss out—supercharge your hashtag analysis with the best Twitter scraper available

Contact and Feature Requests

  • If you need customized features or have specific requirements
  • support for second-level tweet monitoring
  • Real-time username change monitoring
  • real-time follow activity monitoring, feel free to contact me
  • If you need any sort of support, please send an email to fastcrawler9@gmail.com | tg | discord

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Cost

Hashtag Cost

Input Parameters

FieldTypeDescription
Hashtagstringa hashtag,like #btc
sentimentAnalysisbooleanAnalyze the provided tweet and identify the primary

tone (Positive, Negative, Neutral, Humorous, Sarcastic, Enthusiastic, Angry, Informative)

sentiment (Positive, Negative, Neutral).

Note: The analysis may take longer when checked.
Start TimestringSpecify the datetime (yyyy-MM-dd_HH:mm:ss_UTC),Returns tweets sent after the given date.
End TimestringSpecify the datetime (yyyy-MM-dd_HH:mm:ss_UTC),Returns tweets sent before the given date.
Sort BystringSorts search results by the given option.
Maximum number of items on outputintMaximum number of items that you want as output.
Minimum retweetsintReturns tweets with at least the given number of retweets.
Minimum LikesintReturns tweets with at least the given number of Likes.
Minimum RepliesintReturns tweets with at least the given number of replies.
Only verified usersintIf checked then returns tweets by users who are verified.
Only Twitter BlueintIf checked then returns tweets by users who are Twitter Blue subscribers.
langstringlang , eg: en

Output Example

1{
2    "type": "tweet",
3    "id": 1882246784816394800,
4    "viewCount": null,
5    "url": "https://x.com/PHall20069/status/1882246784816394744",
6    "text": "Altseason starts now.
#BTC #ETH #SOL #Memecoin #Trump #Melania #Bitlayer #Success #Bitcoin #Crypto #Altseanson
https://t.co/c638lLGnC0 https://t.co/r1eX99mpDs",
7 "isQuote": false, 8 "isRetweet": false, 9 "retweetCount": 0, 10 "replyCount": 0, 11 "likeCount": 0, 12 "quoteCount": 0, 13 "createdAt": "2025-01-23 01:59:38+00:00", 14 "lang": "en", 15 "bookmarkCount": 0, 16 "isReply": false, 17 "source": "Twitter Web App", 18 "author": { 19 "type": "user", 20 "username": "PHall20069", 21 "url": "https://x.com/PHall20069", 22 "id": 1844650977133199400, 23 "name": "Philip Hall", 24 "isVerified": false, 25 "isBlueVerified": false, 26 "verifiedType": null, 27 "profilePicture": "https://pbs.twimg.com/profile_images/1844651128459493376/cY6vaRzx_normal.jpg", 28 "coverPicture": null, 29 "description": "", 30 "location": "", 31 "followers": 12, 32 "following": 772, 33 "protected": null, 34 "createdAt": "2024-10-11 08:07:32+00:00", 35 "favouritesCount": 592, 36 "mediaCount": 143, 37 "statusesCount": 544, 38 "listedCount": 0 39 }, 40 "quote": null, 41 "retweetedTweet": null, 42 "media": "Media(photos=[MediaPhoto(url='https://pbs.twimg.com/media/Gh8VcWlaoAA1Cfc.jpg')], videos=[], animated=[])", 43 "cashtags": [], 44 "hashtags": [ 45 "BTC", 46 "ETH", 47 "SOL", 48 "Memecoin", 49 "Trump", 50 "Melania", 51 "Bitlayer", 52 "Success", 53 "Bitcoin", 54 "Crypto", 55 "Altseanson" 56 ], 57 "links": [ 58 "TextLink(url='https://tokenpikachu.com', text='tokenpikachu.com', tcourl='https://t.co/c638lLGnC0')" 59 ], 60 "conversationId": 1882246784816394800, 61 "card": null, 62 "coordinates": null, 63 "mentionedUsers": [], 64 "tone": "Enthusiastic", 65 "sentiment": "Positive" 66}

Frequently Asked Questions

Is it legal to scrape job listings or public data?

Yes, if you're scraping publicly available data for personal or internal use. Always review Websute's Terms of Service before large-scale use or redistribution.

Do I need to code to use this scraper?

No. This is a no-code tool — just enter a job title, location, and run the scraper directly from your dashboard or Apify actor page.

What data does it extract?

It extracts job titles, companies, salaries (if available), descriptions, locations, and post dates. You can export all of it to Excel or JSON.

Can I scrape multiple pages or filter by location?

Yes, you can scrape multiple pages and refine by job title, location, keyword, or more depending on the input settings you use.

How do I get started?

You can use the Try Now button on this page to go to the scraper. You’ll be guided to input a search term and get structured results. No setup needed!