Scweet Twitter/X Scraper

Scweet is a Twitter/X scraper for search results and profile timelines. Extract tweets into JSON, CSV, and XLSX with a simple input model.

Run Actor on Apify | Open-Source Scweet Library

Quick Navigation

• Pricing
• Quick Start
• Why Choose Scweet
• Inputs
• Output
• Responsible Usage
• Data and Privacy Note
• Support

💰 Pricing (Effective March 4, 2026)

You are billed for:

• Tweets collected
• A one-time run-start fee per run

Plan	Tweet Price	Run-start
Free (No discount)	$3.00 / 1,000 tweets	$0.006
Starter (Bronze)	$0.30 / 1,000 tweets	$0.0006
Scale (Silver)	$0.28 / 1,000 tweets	$0.0006
Business (Gold)	$0.25 / 1,000 tweets	$0.0006

Apify currently advertises monthly free platform credit (commonly $5/month, subject to change).

Why free pricing is higher:

• Free tier is for evaluation, not high-volume automation.
• Higher free pricing helps reduce abuse and repeated empty runs.
• It helps keep paid-tier pricing low for production users.

⚡ Quick Start

1. Open Scweet on Apify.
2. Paste one of the inputs below.
3. Run the Actor.
4. Export dataset results.

Input can be partial. Omitted fields use defaults. In the Apify Console, the form opens with sample prefill values: source_mode="auto", search_query="from:elonmusk", and profile_urls=["@elonmusk"]. These are sample prefills for the Console and store tests, not API defaults. Replace or remove them before running your own job.

🔎 Minimal Twitter Search Input

{
  "source_mode": "search",
  "search_query": "bitcoin lang:en from:elonmusk -filter:replies min_faves:100",
  "since": "2025-02-17",
  "until": "2026-02-19",
  "search_sort": "Latest",
  "max_items": 1000
}

👤 Minimal Twitter Profile Input

{
  "source_mode": "profiles",
  "profile_urls": [
    "https://x.com/elonmusk",
    "@apify"
  ],
  "max_items": 1000
}

🔀 Combined Search + Profiles Input

{
  "source_mode": "auto",
  "all_words": ["ai", "agent"],
  "since": "2025-02-17",
  "profile_urls": ["https://x.com/apify"],
  "search_sort": "Top",
  "max_items": 500
}

✅ Why Choose Scweet

• Actively maintained scraping logic for changing X/Twitter behavior.
• Reliability features: retries, account failover, task requeue, and deduplication.
• Flexible modes: search, profiles, or both in one run.
• Production-friendly export workflow in Apify datasets.

🧩 Inputs

Core fields

Field	Type	Description
source_mode	string	auto, search, or profiles (default: auto)
search_query	string	Search path input. Optional raw advanced query string. Ignored in profiles mode. Twitter advanced search operators
profile_urls	array[string]	Profile path input. Handles or profile URLs (@handle, x.com/<handle>, twitter.com/<handle>). Ignored in search mode.
max_items	integer	Global run target (default 100)
since, until	string	Date or UTC timestamp window
search_sort	string	Top or Latest (default: Latest)

Search builder fields (optional)

• Keywords: all_words, any_words, exact_phrases, exclude_words
• Hashtags/users: hashtags_any, hashtags_exclude, from_users, to_users, mentioning_users
• Filters: tweet_type, verified_only, blue_verified_only, has_images, has_videos, has_links, has_mentions, has_hashtags, min_likes, min_replies, min_retweets
• Location: place, geocode, near, within
• Advanced operator reference:

Important behavior

• Minimum requested run size is enforced: if max_items < 100, it is auto-adjusted to 100.
• max_items is global per run, not per profile.
• In auto, search runs only when search input is present, and profiles runs only when valid profile_urls are present. If both are present, both paths run.
• In the Apify Console, the initial form payload is intentionally runnable and uses sample prefill values: search_query="from:elonmusk" and profile_urls=["@elonmusk"]. These do not become API defaults.
• source_mode="search" ignores profile input.
• source_mode="profiles" ignores search input.
• If both since and until are missing, lookback defaults to:
  • Top: 4 years
  • Latest: 180 days
• Free plan guardrails (current): 1000 tweets/day, 10 runs/day, minimum 60s between runs.

📤 Output

Results are stored in the Apify dataset for the run.

• Dataset output is deduplicated by tweet ID.
• Export formats: JSON, CSV, XLSX.
• Output includes source labeling fields (source_root, source_value).

What each item contains

Field	Description
id	Tweet ID
text	Tweet text
handle	Author handle
tweet_url	Tweet URL
favorite_count, retweet_count, reply_count	Core engagement metrics
source_root	search or profile_url
source_value	Effective query or normalized profile URL
user	Nested author object
tweet	Nested tweet details object

Full example output (generated sample values, not real user data)

[
  {
    "id": "tweet-1234567890123456789",
    "sort_index": "1999999999999999999",
    "entry_type": "TimelineTimelineItem",
    "tweet_display_type": "Tweet",
    "collected_at_utc": "2026-02-08T05:08:42.531721+00:00",
    "source_root": "search",
    "source_value": "(sample OR query) (#tag1 OR #tag2) lang:en since:2025-01-01 until:2025-01-31",
    "user": {
      "id": "VXNlcjoxMjM0NTY3OA==",
      "rest_id": "12345678",
      "name": "Sample Account",
      "verified": false,
      "verified_type": "None",
      "is_blue_verified": true,
      "created_at": "Mon Jan 01 00:00:00 +0000 2020",
      "description": "Sample profile description.",
      "url": "https://t.co/example",
      "urls": [
        {
          "url": "https://t.co/example",
          "expanded_url": "https://example.com",
          "display_url": "example.com"
        }
      ],
      "favourites_count": 1200,
      "followers_count": 98000,
      "friends_count": 350,
      "listed_count": 45,
      "statuses_count": 15000,
      "location": "Sample City",
      "media_count": 420,
      "handle": "sample_handle",
      "profile_banner_url": "https://pbs.twimg.com/profile_banners/12345678/sample",
      "profile_image_url_https": "https://pbs.twimg.com/profile_images/sample_normal.jpg"
    },
    "tweet": {
      "rest_id": "1234567890123456789",
      "conversation_id": "1234567890123456789",
      "in_reply_to_status_id": null,
      "in_reply_to_user_id": null,
      "quoted_status_id": null,
      "source": "<a href=\"https://example.com\" rel=\"nofollow\">Example App</a>",
      "created_at": "Wed Jan 15 10:00:00 +0000 2025",
      "mentions": ["example_user"],
      "tweet_url": "https://x.com/sample_handle/status/1234567890123456789",
      "view_count": "150000",
      "text": "This is a sample tweet text for documentation.",
      "hashtags": ["tag1", "tag2"],
      "favorite_count": 1234,
      "quote_count": 56,
      "reply_count": 78,
      "retweet_count": 90,
      "bookmark_count": 12,
      "is_quote_status": false,
      "possibly_sensitive": false,
      "is_translatable": false,
      "edit_control": {
        "edit_tweet_ids": ["1234567890123456789"],
        "editable_until_msecs": "1762993800000",
        "is_edit_eligible": true,
        "edits_remaining": "5"
      },
      "entities": {
        "hashtags": ["tag1", "tag2"],
        "mentions": ["example_user"],
        "urls": [
          {
            "url": "https://t.co/example",
            "expanded_url": "https://example.com/page",
            "display_url": "example.com/page"
          }
        ],
        "symbols": [],
        "timestamps": []
      },
      "lang": "en",
      "media": [
        {
          "id_str": "5555555555555555555",
          "media_key": "3_5555555555555555555",
          "type": "photo",
          "media_url": "https://pbs.twimg.com/media/sample.jpg",
          "expanded_url": "https://x.com/sample_handle/status/1234567890123456789/photo/1",
          "display_url": "pic.x.com/sample",
          "width": 1200,
          "height": 800
        }
      ]
    }
  }
]

⚖️ Responsible Usage

Use this Actor lawfully and ethically, and comply with applicable platform terms and local regulations.

🔒 Data and Privacy Note

Run metadata (such as user ID, timestamps, input payload, and counters) may be stored for rate-limiting, support, and stability operations. This data is used internally and is not shared with third parties.

🤝 Support

For help with query tuning, limits, or workflow design, contact us on the Actor page or open an issue in the open-source repository.