Twitter (X) Media Downloader
Pricing
from $2.00 / 1,000 results
Twitter (X) Media Downloader
Extract photos and videos from tweets for any public Twitter (X) account. Supports multi-user batching, media type filtering (photo/video), optional retweets, and detailed tweet + author metadata with clean CSV/JSON exports.
Pricing
from $2.00 / 1,000 results
Rating
0.0
(0)
Developer

Sachin Kumar Yadav
Actor stats
0
Bookmarked
15
Total users
3
Monthly active users
16 days ago
Last modified
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πΈ Twitter X Media Scraper
Extract Photos & Videos from Twitter X - Download comprehensive media content from any Twitter X account with high precision and speed. Perfect for content analysis, media research, and social media monitoring.
π Table of Contents
- π Quick Start
- β¨ Key Features
- π― Use Cases
- π Data Output
- βοΈ Configuration
- π‘ Pro Tips
- π Performance
- π¬ Media Analysis
- β FAQ
- π Support
π Quick Start
Extract Twitter X media content in 3 simple steps:
- Add Target Usernames - Enter Twitter X usernames whose media content you want to extract
- Configure Settings - Set tweet limits and media type preferences
- Extract & Download - Get comprehensive media data with photos and videos
β¨ Key Features
π― Precision Media Extraction
- Extract photos and videos from any public Twitter X account
- Support for multiple username formats (@username, username, full URLs)
- Batch processing for multiple accounts simultaneously
- Advanced media filtering and analysis capabilities
π Rich Media Collection
- Photo Content: High-resolution images with metadata
- Video Content: Multiple quality variants and formats
- Tweet Information: Full tweet text, engagement metrics, timestamps
- Author Details: Profile information and verification status
- Media Analytics: Comprehensive media statistics and insights
β‘ Enterprise Performance
- High-Speed Processing: Extract hundreds of media files per minute
- Smart Rate Limiting: Automatic request throttling to avoid blocks
- Robust Error Handling: Continues processing even if some tweets fail
- Scalable Architecture: Handle multiple API keys for increased throughput
π Reliability & Compliance
- Real-time Data: Always fresh, up-to-date media content
- Error Recovery: Automatic retries and failover mechanisms
- Data Integrity: Comprehensive media validation and metadata
π― Use Cases
| Use Case | Description | Benefits |
|---|---|---|
| πΈ Content Analysis | Analyze visual content trends and patterns | Content strategy, trend identification |
| π Competitor Research | Monitor competitor's media content strategy | Strategic intelligence, content insights |
| π― Influencer Marketing | Collect media content from influencers | Campaign analysis, content quality assessment |
| π Brand Monitoring | Track brand-related visual content | Brand awareness, reputation management |
| π€ Media Archival | Create comprehensive media archives | Content preservation, historical analysis |
| π Engagement Analysis | Study media performance and engagement | Content optimization, audience insights |
| πͺ Research & Academia | Collect data for social media research | Academic studies, behavioral analysis |
| π Content Curation | Discover and collect high-quality media | Content inspiration, creative research |
π Data Output
Each media record contains comprehensive information:
πΈ Photo Data
{"media_photos": [{"id": "1978513169153982466","media_url_https": "https://pbs.twimg.com/media/G3UXPqbbAAI_Yn_.jpg","type": "photo"}]}
π¬ Video Data
{"media_videos": [{"id": "1980335146310987777","media_url_https": "https://pbs.twimg.com/amplify_video_thumb/...","type": "video","duration": 13066,"variants": [{"content_type": "video/mp4","url": "https://video.twimg.com/amplify_video/...","bitrate": 2176000}]}]}
π Tweet & Engagement Data
{"tweet_id": "1980335246127325338","text": "WE R DROPPING 10 YEAR MERCH AT 12PM PST...","favorites": 4437,"retweets": 390,"replies": 271,"views": "257695","created_at": "Mon Oct 20 18:08:10 +0000 2025"}
βοΈ Configuration
ποΈ Input Parameters
| Parameter | Type | Required | Description |
|---|---|---|---|
usernames | Array | β | Twitter X usernames to extract media content from |
max_tweets_per_user | Integer | β | Maximum tweets to process per user (default: 100) |
include_retweets | Boolean | β | Include media from retweets (default: false) |
media_types | Array | β | Media types to extract: ['photo', 'video'] (default: both) |
π§ Advanced Settings
{"usernames": ["KylieJenner", "elonmusk", "@sundarpichai"],"max_tweets_per_user": 500,"include_retweets": true,"media_types": ["photo", "video"]}
Username Format Support:
- β
username- Simple username - β
@username- With @ symbol - β
https://twitter.com/username- Full Twitter URL - β
https://x.com/username- X.com URL
π‘ Pro Tips
π Maximize Performance
- Batch Processing: Add multiple usernames to process them efficiently
- Optimal Limits: Use 100-500 tweets per user for best speed/data balance
- Media Filtering: Choose specific media types based on your needs
π― Data Quality
- Regular Updates: Run extractions regularly to track new media content
- Media Validation: Always validate media URLs before downloading
- Quality Filtering: Focus on high-engagement tweets with quality media
π Analysis Strategies
- Content Trends: Analyze visual content patterns and themes
- Engagement Correlation: Study relationship between media type and engagement
- Temporal Analysis: Track media posting patterns over time
- Comparative Analysis: Compare media strategies across different accounts
π Performance
β‘ Speed Benchmarks
| Tweets | Processing Time | API Requests | Media Files |
|---|---|---|---|
| 100 | ~1-2 minutes | 5-10 requests | 50-200 files |
| 500 | ~5-8 minutes | 25-50 requests | 250-1000 files |
| 1,000 | ~10-15 minutes | 50-100 requests | 500-2000 files |
π Rate Limiting
- Smart Throttling: Automatic delays between requests
- Error Recovery: Automatic retries on temporary failures
π¬ Media Analysis
π Content Mapping
- Media Trends: Understand visual content patterns and themes
- Engagement Patterns: Identify high-performing media types
- Content Evolution: Track changes in media strategy over time
π Advanced Analytics
- Media Performance Analysis: Compare engagement across different media types
- Content Frequency: Analyze posting patterns and media distribution
- Quality Assessment: Evaluate media resolution and format preferences
π― Strategic Applications
- Content Strategy: Analyze successful media content patterns
- Competitor Analysis: Study competitor's visual content approach
- Trend Research: Identify emerging visual content trends
β FAQ
Q: How many media files can I extract?
A: You can extract up to 5,000 tweets per username, potentially yielding thousands of media files. For optimal performance, we recommend 100-500 tweets per run.
Q: What media data do I get for each tweet?
A: Complete media information including photo URLs, video variants with different qualities, tweet text, engagement metrics, author details, and timestamps.
Q: Can I extract media from private accounts?
A: No, the scraper only works with public Twitter X accounts due to API limitations.
Q: What types of media can I extract?
A: You can extract photos (JPG, PNG) and videos (MP4, M3U8) with multiple quality variants. Choose specific types using the media_types parameter.
Q: How often should I run the scraper?
A: For content monitoring, run daily or weekly. For research projects, the frequency depends on your analysis needs.
Q: Is the media data real-time?
A: Yes, all media data is fetched in real-time directly from Twitter X's API.
Q: What happens if a tweet is deleted?
A: The scraper will skip unavailable tweets and continue processing others, logging any errors.
Q: Can I download the actual media files?
A: The scraper provides direct URLs to media files. You can use these URLs to download the actual images and videos programmatically.
Q: How do I handle large media datasets?
A: Use Apify's dataset API to process data in chunks, or export to CSV/JSON for further analysis and media downloading.
π Support
π Get Help
- π§ Email Support: Contact us for technical assistance
- π Documentation: Comprehensive guides and examples
- π¬ Community: Join our developer community
- π Bug Reports: Report issues for quick resolution
π Updates & Maintenance
- β Regular updates for API changes
- π‘οΈ Security patches and improvements
- π Performance optimizations
- π New features based on user feedback
Ready to unlock the power of Twitter X media intelligence? π
Start your media analysis journey today and transform how you understand visual content trends, engagement patterns, and media strategies!
Built with β€οΈ for the Apify community
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