Twitter X Profile Scraper
Pricing
from $9.99 / 1,000 results
Twitter X Profile Scraper
Extract tweets and complete profile information from any X (Twitter) account in 4 sec with advanced filtering and search capabilities. This powerful scraper auto-detects what to collect—profiles, tweets, users, or lists—and delivers clean, structured data instantly.
Pricing
from $9.99 / 1,000 results
Rating
0.0
(0)
Developer
mikolabs
Actor stats
0
Bookmarked
4
Total users
3
Monthly active users
14 hours ago
Last modified
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What does Twitter X Profile Scraper do?
Twitter X Profile Scraper will enable you to get more data from X (Twitter) than the official X API — without any API key, authentication, or rate limit restrictions.
Built by MikoLabs, this Actor auto-detects what to collect — profiles, tweets, replies, or media — and delivers clean, structured data instantly. Simply provide usernames, profile URLs, or search terms, and the scraper handles the rest.
Twitter X Profile Scraper can scrape:
- Complete profile information — bio, followers, following, location, website, join date, avatar, and banner
- Tweets and posts — full text, timestamps, hashtags, mentions, URLs, and engagement metrics
- Replies and conversations — threaded reply tweets with full context
- Media content — tweets containing images, videos, and GIFs
- Retweets and quote tweets — including original author metadata
- Search results — keyword-based search within specific profiles or globally
Why scrape X (Twitter)?
X (Twitter) has over 500 million monthly active users and is one of the richest real-time data sources on the internet. It is a vital platform for market research, sentiment analysis, competitive intelligence, and trend tracking.
Here are just some of the ways you could use that data:
- Brand monitoring — Track mentions, sentiment, and customer feedback in real-time
- Competitive intelligence — Analyze competitor tweets, engagement strategies, and audience growth
- Influencer research — Discover influencers by engagement rate, follower count, and content niche
- Lead generation — Identify potential customers and prospects based on their public activity
- Academic research — Build datasets for social media studies, NLP training, and public opinion analysis
- Content strategy — Analyze what types of tweets drive the most engagement in your industry
- News and trend tracking — Monitor breaking news, emerging trends, and viral content
- Market sentiment — Track crypto projects, stock discussions, and financial market chatter
If you would like more inspiration on how scraping X could help your business or organization, check out our industry pages.
How to scrape X (Twitter)
It's easy to scrape X (Twitter) with Twitter X Profile Scraper. Just follow these few steps and you'll get your data in a few minutes.
- Click on Try for free.
- Enter the Twitter handles you want to scrape (e.g.
elonmusk,apify), or paste profile URLs. - Configure your scraping options — choose whether to include replies, media only, or profile info.
- Optionally, apply filters: date range, engagement thresholds, content type, or search keywords.
- Click on Run.
- When Twitter X Profile Scraper has finished, preview or download your data from the Dataset tab.
The Actor intelligently routes your request to the right scraping mode based on your input — no manual configuration needed.
Input
You can configure the scraper through the Apify Console input form or provide JSON input directly. Here are the key input fields:
| Field | Type | Description |
|---|---|---|
twitterHandles | string[] | Twitter usernames to scrape (with or without @) |
twitterUrls | string[] | Direct profile URLs (e.g. https://x.com/elonmusk) |
includeReplies | boolean | Include reply tweets in results |
mediaOnly | boolean | Scrape only tweets with images or videos |
maxItems | integer | Max tweets to collect (0 = unlimited) |
searchTerms | string[] | Keywords to search for within tweets |
startDate | string | Filter tweets from this date (YYYY-MM-DD) |
endDate | string | Filter tweets up to this date (YYYY-MM-DD) |
minLikes | integer | Minimum likes threshold |
minReplies | integer | Minimum replies threshold |
minRetweets | integer | Minimum retweets threshold |
proxyConfiguration | object | Proxy settings (residential recommended) |
Example Input
{"twitterHandles": ["elonmusk", "apify"],"includeReplies": false,"mediaOnly": false,"maxItems": 100,"searchTerms": ["AI research"],"startDate": "2024-01-01","endDate": "2024-12-31","minLikes": 50}
Output
The scraper outputs clean, structured JSON data for each item. You can download the dataset in various formats such as JSON, CSV, Excel, XML, RSS, or HTML Table.
Profile Output
{"type": "profile","username": "apify","fullname": "Apify","bio": "Web scraping and automation platform for data extraction","followers": 12500,"following": 567,"tweets": 1234,"likes": 890,"avatar": "https://pbs.twimg.com/profile_images/...","banner": "https://pbs.twimg.com/profile_banners/...","website": "https://apify.com","location": "San Francisco, CA","joined": "January 2024","scrape_date": "2024-10-24T12:00:00.000Z"}
Tweet Output
{"type": "tweet","username": "@apify","fullname": "Apify","text": "Excited to announce our new scraping features!","tweet_url": "https://x.com/apify/status/123456","tweet_id": "123456","date": "Oct 24, 2024 · 12:00 PM UTC","hashtags": ["#webscraping", "#automation"],"mentions": ["@user1", "@user2"],"urls": ["https://example.com"],"stats": {"comments": 12,"retweets": 34,"quotes": 5,"likes": 156},"media": [{"type": "image","url": "https://pbs.twimg.com/media/...","thumbnail": "https://pbs.twimg.com/media/..."}],"is_retweet": false,"is_reply": false,"is_quoted": false,"author": {"username": "@apify","fullname": "Apify","avatar": "https://pbs.twimg.com/...","verified": true},"scrape_date": "2024-10-24T12:00:00.000Z"}
Data fields
Profile data
| Field | Type | Description |
|---|---|---|
type | string | Always "profile" |
username | string | Twitter handle |
fullname | string | Display name |
bio | string | Profile biography |
followers | integer | Follower count |
following | integer | Following count |
tweets | integer | Total tweet count |
likes | integer | Total likes given |
avatar | string | Profile image URL |
banner | string | Banner image URL |
website | string | Profile website link |
location | string | Profile location |
joined | string | Account join date |
scrape_date | string | ISO timestamp of when data was scraped |
Tweet data
| Field | Type | Description |
|---|---|---|
type | string | "tweet", "profile_search_tweet", etc. |
username | string | Tweet author handle |
text | string | Full tweet text |
tweet_url | string | Direct link to tweet |
date | string | Publication date |
hashtags | string[] | Hashtags used |
mentions | string[] | Users mentioned |
stats.likes | integer | Like count |
stats.retweets | integer | Retweet count |
stats.comments | integer | Reply count |
stats.quotes | integer | Quote tweet count |
media | object[] | Attached images/videos |
is_retweet | boolean | Whether it's a retweet |
is_reply | boolean | Whether it's a reply |
How much will it cost to scrape X (Twitter)?
Apify gives you $5 free usage credits every month on the Apify Free plan. You can scrape hundreds of tweets and profiles for free each month — more than enough for testing and small-scale projects.
But if you need to get more data regularly from X (Twitter), you should grab an Apify subscription. We recommend our $49/month Starter plan — perfect for regular monitoring, competitive research, and medium-scale data collection.
For enterprise-level needs with thousands of profiles and millions of tweets, the Scale plan at $499/month delivers the power and throughput you need.
Tips for scraping X (Twitter)
- Start small — Set
maxItemsto 20–50 on your first run to test the configuration before scaling up - Use engagement filters — Filter by
minLikesorminRetweetsto focus on high-quality, viral content - Combine include and exclude filters — Use both to precisely target the content you want (e.g. include media, exclude replies)
- Date ranges save resources — Always specify
startDateandendDatefor large data collection to avoid over-scraping - Residential proxy recommended — Enable residential proxy in the proxy configuration for the most reliable results
- Parallel scraping — The Actor processes multiple handles in parallel for faster results
- Retry logic built-in — Failed requests are automatically retried with exponential backoff, so transient errors resolve themselves
Frequently asked questions
Can I scrape private Twitter profiles?
No. Twitter X Profile Scraper only works with public profiles. Private or protected accounts cannot be scraped.
Do I need a Twitter API key or account?
No. This Actor does not require any Twitter API credentials, cookies, or authentication. It works independently of the official Twitter API.
What export formats are available?
You can export your scraped data as JSON, CSV, Excel (XLSX), XML, RSS, or HTML Table directly from the Apify Console Dataset tab.
How many tweets can I scrape?
There is no hard-coded limit. Set maxItems to 0 for unlimited scraping. However, be mindful of compute costs for very large collections.
Can I search for specific keywords within a profile?
Yes. Use the searchTerms input field to search for keywords within a profile's tweets. The Actor supports AND/OR operators for advanced queries.
Is it legal to scrape X (Twitter)?
Note that personal data is protected by GDPR in the European Union and by other regulations around the world. You should not scrape personal data unless you have a legitimate reason to do so. If you're unsure whether your reason is legitimate, consult your lawyers.
You should also review X (Twitter)'s Terms of Service before scraping. Always scrape responsibly, respect rate limits, and avoid collecting sensitive personal information.
We also recommend that you read our blog post: is web scraping legal?.
Resources and integrations
- Apify Documentation
- Python SDK Documentation
- Apify API Reference
- Integration with Make, Zapier, and other apps
Twitter X Profile Scraper integrates seamlessly with tools like Make (Integromat), Zapier, Google Sheets, Slack, and more through the Apify platform. Schedule recurring runs, set up webhooks, or access results via the REST API.
Support and feedback
Having issues or have feedback? Report bugs or submit feature requests in the Issues tab on the Actor's page.
For custom scraping solutions or enterprise support, visit MikoLabs.