Transform Instagram content into actionable intelligence with advanced AI-powered analysis. Get comprehensive speech-to-text transcriptions combined with premium data analytics—pay only for successful results, no hidden fees.
Created by Bitbash, built to showcase our approach to Scraping and Automation!
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Instagram Content Intelligence Pro Scraper leverages AI to extract detailed insights from Instagram content. It solves the problem of manually gathering and analyzing data, providing a streamlined, automated solution for content and engagement analysis. This tool is perfect for marketers, agencies, and data scientists who want high-quality, actionable intelligence without the hassle.
- Extracts data from Instagram posts and reels for performance metrics and creator insights
- Advanced speech-to-text transcription with contextual analysis
- No upfront setup fees—pay-per-result pricing
- Detailed reports including engagement, creator analytics, and media specifications
| Feature | Description |
|---|---|
| Advanced AI Transcription | Speech-to-text transcription with contextual understanding |
| Engagement Analytics | Metrics like likes, comments, shares, and viral indicators |
| Creator Profiling | Detailed influencer data, including verification and engagement stats |
| Media Specifications | Technical data on content quality and formats |
| Strategic Intelligence | Business-critical insights based on audience behavior and trends |
| Field Name | Field Description |
|---|---|
| transcript | Speech-to-text transcription of the content |
| engagement | Metrics such as likes, views, and comments |
| creator | Data about the creator, including username and verification status |
| content | Metadata about the content, including duration and caption |
| performance_metrics | Metrics indicating the engagement and viral potential |
| geographic_intelligence | Location data based on audience interaction |
| audio_intelligence | Insights on the audio, including original vs trending sound |
| social_signals | Data on hashtags, mentions, and social interactions |
| ... | 26 additional analytical dimensions covering all aspects of content |
[
{
"facebookUrl": "https://www.facebook.com/nytimes/",
"pageId": "5281959998",
"postId": "10153102374144999",
"pageName": "The New York Times",
"url": "https://www.facebook.com/nytimes/posts/pfbid02meAxCj1jLx1jJFwJ9GTXFp448jEPRK58tcPcH2HWuDoogD314NvbFMhiaint4Xvkl",
"time": "Thursday, 6 April 2023 at 06:55",
"timestamp": 1680789311000,
"likes": 22,
"comments": 2,
"shares": null,
"text": "Four days before the wedding they emailed family members a “save the date” invite. It was void of time, location and dress code — the couple were still deciding those details.",
"link": "https://nyti.ms/3KAutlU"
}
]
instagram-content-intelligence-pro-scraper/
├── src/
│ ├── runner.py
│ ├── extractors/
│ │ ├── instagram_parser.py
│ │ └── utils_time.py
│ ├── outputs/
│ │ └── exporters.py
│ └── config/
│ └── settings.example.json
├── data/
│ ├── inputs.sample.txt
│ └── sample.json
├── requirements.txt
└── README.md
- Marketing professionals use it to analyze content patterns and engagement trends, so they can optimize campaigns.
- Agencies generate detailed reports for clients, helping them make data-driven decisions and measure ROI.
- Data scientists and AI engineers build content analysis and recommendation systems, improving content classification models.
- Growth strategists discover emerging content trends, track audience sentiment, and optimize social media strategies.
Q: How do I get started? A: Simply input any publicly accessible Instagram post or reel URL for analysis. You'll receive a comprehensive intelligence report in return.
Q: What type of data can I expect from the scraper? A: The scraper provides detailed analytics, including speech-to-text transcription, engagement metrics, creator profiles, and technical media specifications.
Primary Metric: Average processing time for a post: 5 seconds Reliability Metric: 99% success rate in data extraction from publicly accessible content Efficiency Metric: 100 posts analyzed per minute Quality Metric: 98% accuracy in speech-to-text transcription
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