
Twitter Reply Scraper | $0.4/1K Tweets | Pay-Per Result ο½ 2025
Pricing
$0.40 / 1,000 results

Twitter Reply Scraper | $0.4/1K Tweets | Pay-Per Result ο½ 2025
Get 1,000 Twitter replies(comments) for just $0.40! π Instantly download Twitter replies and comments. Our tool provides precise and rapid data extraction, no coding required. Pay only for the data you need, and gain valuable insights for market analysis, sentiment monitoring, and more.
0.0 (0)
Pricing
$0.40 / 1,000 results
2
Monthly users
22
Runs succeeded
>99%
Response time
6.4 hours
Last modified
11 days ago
Twitter Reply Scraper | $0.3/1K Tweets | Pay-Per Result | 2025
Effortlessly scrape Twitter replies with precision and speed β pay only for the results you get! This tool is designed to streamline data collection for market research, sentiment analysis, and audience insights, giving you access to valuable conversational data.
π Key Features
- β High-Accuracy Scraping: Capture replies from any public tweet, even in large threads.
- π€ Keyword & User Filtering: Focus on relevant replies by specifying keywords or user handles.
- π Multi-Language Support: Scrape and process tweets in various languages for global analysis.
- β¨ Clean, Structured Output: Get organized data ready for analysis, without extra cleaning steps.
**Supercharge your research and content strategy with a reliable, result-driven reply scraper! π
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
Input Parameters
Field | Type | Description |
---|---|---|
conversationId | string | The id of tweet you want to get the replies from. eg: 1895950135865327920 |
queryType | string | queryType: Latest,Top |
maxItems | string | maxItems |
Output Example
1{ 2 "type": "tweet", 3 "id": "1896710161546506732", 4 "url": "https://x.com/themainsquid1/status/1896710161546506732", 5 "twitterUrl": "https://twitter.com/themainsquid1/status/1896710161546506732", 6 "text": "@SOLAXYTOKEN We shall see", 7 "source": "Twitter for iPhone", 8 "retweetCount": 0, 9 "replyCount": 1, 10 "likeCount": 0, 11 "quoteCount": 2, 12 "viewCount": 35, 13 "createdAt": "Mon Mar 03 23:51:56 +0000 2025", 14 "lang": "en", 15 "bookmarkCount": 0, 16 "isReply": true, 17 "inReplyToId": "1895950135865327920", 18 "conversationId": "1895950135865327920", 19 "inReplyToUserId": "1863672222734323712", 20 "inReplyToUsername": "SOLAXYTOKEN", 21 "author": { 22 "type": "user", 23 "userName": "themainsquid1", 24 "url": "https://x.com/themainsquid1", 25 "twitterUrl": "https://twitter.com/themainsquid1", 26 "id": "1885048650016989184", 27 "name": "lTyler", 28 "isVerified": false, 29 "isBlueVerified": false, 30 "profilePicture": "https://pbs.twimg.com/profile_images/1892261696506368000/SY_mBevU_normal.jpg", 31 "coverPicture": "https://pbs.twimg.com/profile_banners/1885048650016989184/1739985331", 32 "description": "", 33 "location": "", 34 "followers": 79, 35 "following": 54, 36 "status": "", 37 "canDm": false, 38 "canMediaTag": true, 39 "createdAt": "Thu Jan 30 19:33:32 +0000 2025", 40 "entities": { 41 "description": { 42 "urls": [] 43 }, 44 "url": {} 45 }, 46 "fastFollowersCount": 0, 47 "favouritesCount": 355, 48 "hasCustomTimelines": true, 49 "isTranslator": false, 50 "mediaCount": 4, 51 "statusesCount": 228, 52 "withheldInCountries": [], 53 "affiliatesHighlightedLabel": {}, 54 "possiblySensitive": false, 55 "pinnedTweetIds": [ 56 "1892021531368165565" 57 ], 58 "profile_bio": { 59 "description": "πΊπΈ π βοΈ", 60 "entities": { 61 "description": {} 62 } 63 }, 64 "isAutomated": false, 65 "automatedBy": null 66 }, 67 "extendedEntities": {}, 68 "card": null, 69 "place": {}, 70 "entities": { 71 "user_mentions": [ 72 { 73 "id_str": "1863672222734323712", 74 "indices": [ 75 0, 76 12 77 ], 78 "name": "SOLAXY", 79 "screen_name": "SOLAXYTOKEN" 80 } 81 ] 82 }, 83 "quoted_tweet": null, 84 "retweeted_tweet": null 85 }
Pricing
Pricing model
Pay per resultΒThis Actor isΒ paid per result. You are not charged for the Apify platform usage, but only a fixed price for each dataset of 1,000 items in the Actor outputs.
Price per 1,000 items
$0.40