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.
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:
Extract hashtag data quickly and efficiently.
Analyze sentiment and tone for smarter insights.
Apply advanced filters for precise targeting.
Affordable, high-speed, and productivity-focused.
Don’t miss out—supercharge your hashtag analysis with the best Twitter scraper available
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Field | Type | Description |
---|---|---|
Hashtag | string | a hashtag,like #btc |
sentimentAnalysis | boolean | Analyze 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 Time | string | Specify the datetime (yyyy-MM-dd_HH:mm:ss_UTC),Returns tweets sent after the given date. |
End Time | string | Specify the datetime (yyyy-MM-dd_HH:mm:ss_UTC),Returns tweets sent before the given date. |
Sort By | string | Sorts search results by the given option. |
Maximum number of items on output | int | Maximum number of items that you want as output. |
Minimum retweets | int | Returns tweets with at least the given number of retweets. |
Minimum Likes | int | Returns tweets with at least the given number of Likes. |
Minimum Replies | int | Returns tweets with at least the given number of replies. |
Only verified users | int | If checked then returns tweets by users who are verified. |
Only Twitter Blue | int | If checked then returns tweets by users who are Twitter Blue subscribers. |
lang | string | lang , eg: en |
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}
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.
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.
It extracts job titles, companies, salaries (if available), descriptions, locations, and post dates. You can export all of it to Excel or JSON.
Yes, you can scrape multiple pages and refine by job title, location, keyword, or more depending on the input settings you use.
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!