Twitter Reply Scraper | $0.4/1K Tweets | Pay-Per Result | 2025

Twitter Reply Scraper | $0.4/1K Tweets | Pay-Per Result | 2025

Get 1,000 Twitter replies(comments) for just $0.40! 🚀 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.

AISOCIAL_MEDIAAUTOMATIONApify

Twitter Reply Scraper | $0.3/1K Tweets | Pay-Per Result | 2025

Effortlessly scrape Twitter replies with precision and speed — 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.

🌟 Key Features

  • ✅ High-Accuracy Scraping: Capture replies from any public tweet, even in large threads.
  • 🤖 Keyword & User Filtering: Focus on relevant replies by specifying keywords or user handles.
  • 🌍 Multi-Language Support: Scrape and process tweets in various languages for global analysis.
  • ✨ 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! 🚀

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

FieldTypeDescription
conversationIdstringThe id of tweet you want to get the replies from. eg: 1895950135865327920
queryTypestringqueryType: Latest,Top
maxItemsstringmaxItems

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": "🇺🇸 🌍 ✌️",
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  }

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!