X (formerly Twitter) Datasets - Scrape X (formerly Twitter) Datasets

Unlock powerful insights with X (formerly Twitter) Datasets by using Real Data API’s scalable tools to Scrape X (formerly Twitter) Datasets effectively. Whether you're analyzing influencer performance, tracking hashtag trends, or monitoring competitor content, Real Data API helps you turn raw social media data into actionable intelligence. With access to high-quality, real-time X (formerly Twitter) Datasets, you can optimize campaigns, boost engagement, and make data-driven marketing decisions. Start using Real Data API to Scrape X (formerly Twitter) Datasets and elevate your social media strategy today!

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X (formerly Twitter) Web Scraping Datasets - X (formerly Twitter) Data Scraping

Harness the power of X (formerly Twitter) Web Scraping Datasets with Real Data API to simplify X (formerly Twitter) Data Scraping for business intelligence and marketing insights. Access structured X (formerly Twitter) hashtag dataset, high-resolution X (formerly Twitter) image dataset, and broad social media datasets to fuel your analytics. Real Data API enables real-time extraction, filtering, and delivery of X (formerly Twitter) content tailored to your needs. Whether for trend analysis, influencer tracking, or brand monitoring, leverage our tools to maximize the value of X (formerly Twitter) Web Scraping Datasets today.

Key Data Fields in X (formerly Twitter) Datasets

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User Profile Data

  • Username
  • User ID
  • Bio
  • Profile Picture URL
  • Follower & Following Counts
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Post Details

  • Post ID
  • Caption
  • Media URL
  • Post Type
  • Timestamp
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Engagement Metrics

  • Likes Count
  • Comments Count
  • Views Count
  • Shares
  • Saves
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Hashtag Data

  • Hashtag Text
  • Post Frequency
  • Trending Score
  • Associated Posts
  • Usage Context
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Location Data

  • Geo-tag
  • Latitude & Longitude
  • Place Name
  • Location ID
  • Check-in Count
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Comment Data

  • Comment Text
  • Commenter Username
  • Timestamp
  • Comment Likes
  • Reply Threads

X (formerly Twitter) Dataset Sample

Username Full Name Bio Followers Following Posts Post Caption Post Date Likes Comments
@foodielife Alex Foodie Exploring one bite at a time 🍔🍣🌮 45,200 1,389 312 Best ramen in town, hands down 🍜🔥 2025-06-20 3,450 128
@fitnessguru Maya Strong Certified trainer | Mind & Muscle 💪 98,000 342 520 Push past your limits today! #fitfam 2025-06-18 7,840 342
@traveldiaries Liam Travels 🌍 Globetrotter | Sharing hidden gems 120,500 567 634 Sunsets in Santorini never disappoint 🇬🇷🌅 2025-06-15 12,230 488
@artsy.emma Emma Sketches 🎨 Digital artist | DM for commissions 25,800 980 290 A sneak peek into my new manga series! 2025-06-19 1,120 53
@techreviewz Rahul Tek Your gadget guy 📱💻 Reviews every Friday! 76,400 310 410 iPhone 16 Pro vs Galaxy S24 Ultra 🔍 2025-06-22 5,700 211

X (formerly Twitter) Data Extraction Process

Data Identification
Accessing Sources
Data Scraping
Data Cleaning
Data Delivery

Defining Key Data Points

  • User Profiles: Identify essential account details like username, user ID, profile picture, and follower count.
  • Post Metadata: Focus on post ID, type (photo, video, reel), and publishing timestamp.
  • Engagement Metrics: Include likes, comments, shares, and save counts for each post.
  • Hashtag Tracking: Pinpoint frequently used hashtags relevant to your campaign or niche.
  • Location Tags: Identify geo-tags, place names, and GPS coordinates to map activity areas.
Data Identification

Identifying Reliable Data Origins

  • Public Profiles: Target open accounts, influencers, and business pages for direct data access.
  • Hashtag Feeds: Use popular or niche hashtags to source relevant content and engagement.
  • Location Pages: Explore posts associated with specific places for local market analysis.
  • Post URLs: Gather direct X (formerly Twitter) URLs for accurate scraping entry points.
  • Third-Party Tools: Leverage scraping tools or APIs that legally access X (formerly Twitter) endpoints.
Accessing-Sources

Extracting Content from X (formerly Twitter)

  • Media Content: Scrape photos, videos, carousel posts, and associated media links.
  • Captions & Hashtags: Extract full captions including emojis, hashtags, and mentions.
  • Engagement Stats: Capture public engagement like likes, comments, and views.
  • User Data: Pull profile-related information such as bio, followers, and post count.
  • Post Timings: Record exact timestamps to track posting trends and frequency.
Data-Scraping

Refining and Structuring Extracted Data

    • Duplicate Removal: Eliminate repeated posts, users, or hashtags from datasets.
    • Spam Filtering: Detect and remove posts from bots or low-quality profiles.
    • Field Normalization: Standardize field values such as usernames, dates, and hashtags.
    • Empty Values: Handle null entries by either filling with defaults or filtering out.
    • Media Validation: Verify image/video URLs and remove broken or inaccessible links.
Data-Cleaning

Packaging and Delivering Insights

    • CSV/Excel Export: Deliver clean datasets in tabular formats for quick review.
    • JSON API Integration: Provide structured data via real-time APIs for developers.
    • Dashboards & Visuals: Visualize insights using dashboards and analytical charts.
    • Automated Updates: Set schedules for data refreshes and ongoing delivery.
    • Cloud Storage: Offer secure access to data via Google Drive, AWS, or Dropbox.
Data-Delivery

Data Delivery Methods

File-Based Delivery
CSV Format For Easy Use
JSON For Flexible Integration
Excel For Structured Analysis
Offline Access For Convenience
Customizable Update Frequency Options
API Integration
Real-Time Data Access Available Instantly
RESTful APIs For Easy Integration
JSON Response Format For Flexibility
Seamless Integration With Your Systems
Scalable For Large Data Requests
Cloud Storage & Database Access
AWS S3 For Reliable Storage
Google Cloud For Global Access
Azure For Scalable Hosting Options
SQL Databases For Advanced Queries
Secure Access With Encryption Protocols

Use Cases of X (formerly Twitter) Datasets

Influencer Marketing

Use X (formerly Twitter) Datasets to find top creators by engagement for powerful influencer campaign execution.

Trend Analysis

Analyze X (formerly Twitter) hashtag dataset to track emerging trends, viral content, and user behavior insights.

Competitor Benchmarking

Scrape X (formerly Twitter) datasets to compare competitors’ growth, post strategy, and overall engagement performance.

Audience Profiling

Leverage social media datasets to identify follower demographics, interests, and online activity patterns.

Location Targeting

Use X (formerly Twitter) image dataset with geo-tags to plan hyperlocal promotions and location-based campaigns.

Content Optimization

Analyze Scrape X (formerly Twitter) datasets for top-performing content formats, captions, and image types to refine strategy.

Why Choose Real Data API Dataset?

01

Comprehensive Data Coverage

Real Data API provides extensive dataset across industries for in-depth business insights and analysis.

02

Real-Time Data Access

Gain up-to-date data instantly, ensuring access to the most current market information available.

03

Customizable Data Delivery

Receive data in preferred formats such as CSV, JSON, or Excel for easy integration.

04

Seamless API Integration

Effortlessly integrate data into your systems via our easy-to-use RESTful APIs with JSON format.

05

Scalable Solutions

Real Data API handles large data volumes, ensuring efficient and reliable solutions for growing businesses.

06

Security and Compliance

We prioritize secure data handling, ensuring adherence to global privacy regulations and industry standards.

FAQs

What are X (formerly Twitter) Datasets and how can they benefit my business? +

X (formerly Twitter) Datasets are structured collections of public X (formerly Twitter) data such as profiles, posts, hashtags, and engagement metrics. Businesses use them to analyze trends, monitor competition, and optimize content strategy. Leveraging X (formerly Twitter) Datasets helps brands make data-backed decisions to improve targeting, campaign effectiveness, and influencer outreach.

How do you Scrape X (formerly Twitter) datasets legally and ethically? +

We Scrape X (formerly Twitter) datasets using public data sources only—no login credentials or private data are used. Our methods comply with ethical scraping guidelines and platform terms. This ensures reliable, real-time insights for research, marketing analysis, and trend tracking without violating any platform rules.

What does an X (formerly Twitter) hashtag dataset include? +

An X (formerly Twitter) hashtag dataset contains data linked to specific hashtags, including post content, timestamp, likes, comments, and user handles. It helps marketers analyze hashtag popularity, discover viral trends, and identify user sentiment or conversations within a niche. This is key for real-time campaign and content optimization.

How does an X (formerly Twitter) image dataset help in visual trend analysis? +

An X (formerly Twitter) image dataset provides access to images posted on X (formerly Twitter), often along with metadata like captions and engagement. By analyzing visuals across categories or trends, brands can identify popular aesthetics, content styles, and user preferences to inform their own visual content strategies effectively.

Can I combine X (formerly Twitter) data with other social media datasets? +

Yes, social media datasets from X (formerly Twitter) can be integrated with those from platforms like Facebook, TikTok, or Twitter. This unified data view enables deeper audience insights, multi-platform trend analysis, and stronger marketing decisions, especially for cross-channel strategies or influencer comparisons.

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