X (Twitter) Scraper — Posts, Profiles & AI Sentiment | No Login Required

Collect public X (Twitter) posts in bulk — by keyword, hashtag, advanced search query or username — with built-in AI sentiment analysis. No X account, no API key, no rate-limit headaches.

Search X the way you actually think about it: give the Actor a list of topics and a list of handles, choose your date range and language, and get back a clean, analysis-ready dataset of posts with full engagement metrics, author profiles, media links and sentiment labels.

---

✨ Why people use this Actor

• 🔓 No login, no X API, no developer account. Skip the paid X API tiers entirely.
• 🔍 Bulk search. Dozens of keywords and handles in a single run.
• 🧠 AI sentiment built in. Every post tagged positive / negative / neutral / mixed, with a confidence score and emotional tone. (Paid Apify plans only.)
• 🗓 Precise date filtering. Pull a specific week, month, quarter or campaign window.
• 🌍 32 languages. Target Italian, English, Spanish, French, German, Japanese, Arabic and more.
• 📊 Rich output — 55+ fields per post. Engagement, author authority, hashtags, mentions, links, media, threading.
• 🔁 Latest, Top, or both. Chronological monitoring or highest-impact posts.
• ⚡ Fast and predictable. Built for large jobs that finish.

---

💡 What you can do with it

📈 Brand monitoring & reputation tracking

Track every mention of your brand, product or executives. Sentiment tagging tells you how people feel — not just how often you're mentioned. Catch a PR problem while it's still small.

🥊 Competitor intelligence

Monitor competitor handles and branded keywords. See what they announce, how audiences react, which posts land and which fall flat.

🗳 Market & opinion research

Sample public opinion on a policy, product category, election or trend across a defined time window and language. Perfect for researchers, analysts and journalists.

🚀 Campaign & launch measurement

Set a start and end date around your launch and measure share of voice, engagement volume and sentiment shift before vs. after.

💰 Crypto, finance & stock signals

Follow cashtags, project hashtags and key influencer accounts. Turn social chatter into a sentiment time series you can chart.

🎯 Lead generation & social selling

Find people publicly expressing intent — asking for recommendations, complaining about a competitor, or looking for a solution you sell.

📰 News monitoring & OSINT

Track breaking topics, verify what accounts said and when, and archive public posts around an event with full timestamps.

🎨 Influencer & creator discovery

Search a niche, sort by Top, and surface the accounts driving real engagement — with follower counts and authority signals attached.

🤖 AI / LLM training & RAG datasets

Build clean, labelled, language-filtered text corpora with engagement signals for fine-tuning or retrieval.

📅 Content research

See which angles, formats and hooks perform in your niche before you write a single post.

---

🚀 Input

Everything is optional except: give it at least one search term or one handle.

Field	What it does
Search terms	Keywords, phrases, hashtags or full X queries — one per line
X (Twitter) handles	Usernames whose posts you want — with or without @
Maximum posts per search	Limit applied to each term and each handle
Sort by	Latest, Top, or Latest + Top
Language	Any of 32 languages, or Any
Posted after / Posted before	Date range — absolute (2024-01-01) or relative (7 days)
Add AI sentiment analysis	Toggle sentiment, score, confidence and tone — paid plans only

Example input

{
  "searchTerms": [
    "artificial intelligence",
    "#Bitcoin",
    "\"black friday\" sale",
    "tesla OR rivian"
  ],
  "twitterHandles": ["elonmusk", "NASA", "@OpenAI"],
  "maxItems": 500,
  "sortBy": "latest_and_top",
  "language": "en",
  "startDate": "2024-11-01",
  "endDate": "2024-12-01",
  "sentimentAnalysis": true
}

💡 Tip — advanced search: Search terms accept standard X search syntax. Try from:nike -filter:replies, "climate change" min_faves:100, #SEO filter:media, or (iphone OR pixel) lang:it. The Actor merges your UI filters in automatically without conflicting with operators you write yourself.

---

📤 Output

One row per post, flat and consistent — ready for Excel, Google Sheets, BI tools or a database.

Example output

{
  "postId": "1861234567890123456",
  "url": "https://x.com/NASA/status/1861234567890123456",
  "createdAt": "2024-11-18T14:32:11.000Z",
  "text": "Our Webb telescope just revealed something remarkable about this distant galaxy. 🔭",
  "language": "en",
  "postType": "original",

  "authorUsername": "NASA",
  "authorName": "NASA",
  "authorVerified": true,
  "authorFollowers": 74800521,
  "authorBio": "Explore the universe and discover our home planet.",
  "authorLocation": "Pale Blue Dot",
  "authorUrl": "https://x.com/NASA",

  "likeCount": 48213,
  "retweetCount": 7104,
  "replyCount": 892,
  "viewCount": 3120455,
  "engagementTotal": 56209,
  "engagementRate": 1.8014,

  "hashtags": ["Webb"],
  "mentions": [],
  "externalLinks": ["https://nasa.gov/webb"],
  "mediaType": "photo",
  "mediaUrls": ["https://pbs.twimg.com/media/Gc7xY2aXwAA1234.jpg"],

  "sentiment": "positive",
  "sentimentScore": 0.78,
  "sentimentConfidence": 0.93,
  "emotionalTone": "excited",

  "searchTerm": "@NASA",
  "matchedBy": "handle",
  "sortMode": "latest",
  "scrapedAt": "2024-11-19T09:14:52.881Z"
}

Field groups

Group	Fields
Identity	postId, url, createdAt, createdAtTimestamp
Content	text, textLength, language, postType, isReply, isRepost, isQuote
Author	authorUsername, authorName, authorId, authorVerified, authorBio, authorLocation, authorFollowers, authorFollowing, authorPostCount, authorWebsite, authorProfileImage, authorBannerImage, authorJoined, authorIsPrivate, authorUrl
Engagement	likeCount, retweetCount, replyCount, viewCount, engagementTotal, engagementRate
Entities	hashtags, hashtagCount, mentions, mentionCount, externalLinks, hasLinks
Media	mediaType, mediaCount, mediaUrls, mediaThumbnails, hasMedia
Threading	inReplyToPostId, inReplyToUsername, quotedPostId, quotedText, quotedAuthor, quotedUrl
AI sentiment	sentiment, sentimentScore, sentimentConfidence, emotionalTone
Provenance	searchTerm, matchedBy, sortMode, scrapedAt

Export as JSON, CSV, Excel, XML or RSS — or pull straight from the Apify API.

---

🔌 Integrations & automation

This Actor plugs into your existing stack with no code:

• 🟠 Make (Integromat) — schedule daily brand scans and route negative-sentiment posts into a "needs response" queue.
• 🟣 n8n — run a workflow that collects posts, filters sentiment = negative and authorFollowers > 10000, then alerts your team.
• 🟡 Zapier — push new posts into Google Sheets, Airtable or Notion automatically.
• 💬 Slack / Discord / Email — get notified the moment a competitor or keyword spikes.
• 📊 Google Sheets / Looker Studio / Power BI — build a live social sentiment dashboard.
• 🗄 Webhooks & API — stream results into your own database or app.

Use Apify Schedules to run this hourly, daily or weekly and build a continuous social listening feed.

---

❓ FAQ

Do I need an X (Twitter) account or API key? No. The Actor collects publicly available posts without any authentication from you.

How many posts can I collect? The limit applies per search term and per handle, so 10 terms × 1,000 posts = up to 10,000 posts in one run. Large jobs are supported.

Can I use advanced X search operators? Yes — search terms accept standard X search syntax, including from:, OR, quoted phrases, min_faves:, filter:media and more.

What's the difference between Latest and Top? Latest returns the newest posts chronologically — best for monitoring. Top returns the highest-engagement posts — best for research and influencer discovery. Latest + Top runs both and removes duplicates.

Is private or deleted content included? No. Only public posts are collected.

Which languages does sentiment analysis support? Posts are graded in their original language across all supported languages.

Is AI sentiment available on the free plan? No — AI sentiment analysis requires a paid Apify plan. If you enable it on the free plan, the run still completes normally and returns every post with all other fields; only the sentiment fields are left empty, and the log notes that sentiment is available only for paid plans. Everything else — search, handles, sorting, date and language filters, and the full dataset — works exactly the same on the free plan.

Can I schedule it? Yes — use Apify Schedules for recurring runs, and webhooks to push results downstream.

---

🔗 You may also like

Round out your social listening and market intelligence stack:

• Reddit Scraper & AI Insights — posts, comments and sentiment from any subreddit or keyword.
• Brand Monitoring AI — mentions, sentiment and reputation tracking across the web.
• LinkedIn Post Search Scraper — B2B conversations and professional audience signals.
• TikTok Search by Keywords — short-form video trends and creator discovery.
• AI Media Monitor — brand, news and sentiment tracking across media sources.

---

⚖️ Legal & fair use

This Actor collects publicly available information only. It does not access private accounts, protected posts, or any content behind a login. You are responsible for ensuring your use complies with applicable laws (including GDPR and other data protection regulations) and with the terms of any platform you interact with. Personal data should only be processed where you have a lawful basis to do so.

---

Questions or a feature request? Open an issue on the Actor's Issues tab — feedback shapes the roadmap.