Instagram Trending Scraper
Pricing
from $4.00 / 1,000 results
Instagram Trending Scraper
Extract structured Instagram Explore trending posts with 25 fields per item including topic labels, captions, media links, engagement counts, and optional media downloads from Instagram's public Explore feed.
Pricing
from $4.00 / 1,000 results
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0.0
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Developer
AgentX
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2
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5 hours ago
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Instagram Trending Scraper - Instagram Explore Data Extraction API
Extract structured Instagram Explore trending posts with 25 fields per item including topic labels, captions, media links, engagement counts, and optional media downloads from Instagram's public Explore feed. This Instagram Explore scraper API delivers schema-ready JSON output for trend intelligence, content benchmarking, viral content detection, and social media analytics pipelines — no username or authentication required.
Why Choose This Instagram Explore Scraper API
Structured Instagram Trend Intelligence for Data Pipelines
🔥 Topic-Labeled Trending Post Extraction
Each Explore post includes section (e.g., Fashion & Beauty) and topic (e.g., Street Fashion) labels from Instagram's internal taxonomy — enabling category-level trend tracking, topic segmentation, and niche monitoring without relying on hashtags.
🎯 No Username Required — Feed-Level Access
Target Instagram's public Explore feed directly. Configure max_results to control extraction volume with no profile-specific targeting. Ideal for market-wide trend monitoring and content intelligence aggregation pipelines.
📸 Complete Media Asset Extraction
Access direct image URLs, thumbnail URLs, video URLs, and pixel dimensions per post. Configure download_medias to store media files directly to Apify storage — no additional processing steps required.
❤️ Engagement Signal Coverage Per Explore Item Extract likes, comments, and play counts per trending post. Combine with topic labels and post timestamps for viral velocity analysis, platform recommendation intelligence, and content trend scoring.
🎬 Carousel & Reel Support
The media_items array preserves all carousel media parts with per-item position, type, dimensions, and asset URLs. Reels deliver video URL, duration, and audio availability flags alongside standard engagement counts.
📊 AI-Ready JSON Output Structured output optimized for LangChain, CrewAI, AutoGPT, and custom ML pipelines. Compatible with any ETL tool, vector database, or downstream content trend classification workflow.
Quick Start Guide
How to Extract Instagram Trending Data in 3 Steps
Step 1: Configure Your Extraction
Step 2: Run the Actor
Click "Start" and the scraper will extract structured trending posts from Instagram's public Explore feed.
Step 3: Download Your Data
Export results in JSON format or access via API. Each record delivers 25 fields per post including topic labels, captions, engagement counts, and media asset links.
Input Parameters
Required Configuration Fields
| Parameter | Type | Description | Example Values |
|---|---|---|---|
max_results | integer | Number of trending Explore posts to extract from the current feed | 50, 100, 500 |
download_medias | string | Media download mode: none keeps URLs only, image downloads images, all downloads all media | "none", "image", "all" |
Media Download Modes
| Mode | Description | Additional Cost |
|---|---|---|
none | Returns direct media URLs without downloading files | None |
image | Downloads and stores image files to Apify storage | +$0.001 per post |
all | Downloads and stores all images and video files | +$0.001 per post |
Pro Tip: Use
nonefor trend signal pipelines that only need metadata and URLs. Useimageorallwhen building visual training datasets or media archival workflows.
Example Input JSON
{"max_results": 50,"download_medias": "none"}
Output Data Schema
25 Structured Fields Per Explore Post
| Field | Type | Description |
|---|---|---|
processor | string | URL of the Actor that processed this record |
processed_at | string | ISO 8601 timestamp of when this post was processed |
id | string | Instagram media identifier |
code | string | Instagram post shortcode |
url | string | Public URL to the Instagram post or reel |
username | string | Username of the account that published the post |
section | string | Instagram Explore section that surfaced this post (e.g., Fashion & Beauty) |
topic | string | Specific Explore topic label (e.g., Street Fashion, Pop Music) |
type | string | Instagram post type: clips, carousel_container, or image |
is_video | boolean | Whether the post contains video content |
caption | string | Full caption text of the post |
timestamp | integer | Unix timestamp when the post was published |
date | string | ISO 8601 timestamp when the post was published |
likes | integer | Like count for the post |
comments | integer | Comment count for the post |
plays | integer | View or play count when available |
duration | integer | Video duration in seconds when available |
has_audio | boolean | Whether Instagram reports audio on the post |
location | string | Location tag associated with the post when available |
image_url | string | Primary image URL or stored file path |
thumbnail_url | string | Thumbnail URL or stored file path |
video_url | string | Video URL or stored file path when available |
width | integer | Media width in pixels |
height | integer | Media height in pixels |
media_count | integer | Number of media items in the post |
media_items | array | Array of per-item media data for carousels and multi-media posts |
Example JSON Output
{"processor": "https://apify.com/agentx/instagram-trending-scraper","processed_at": "2026-07-02T10:30:00Z","id": "3877256089956040035_227764111","code": "DXOx98JDL1j","url": "https://www.instagram.com/reel/DXOx98JDL1j/","username": "fashionblogger","section": "Fashion & Beauty","topic": "Street Fashion","type": "clips","is_video": true,"caption": "Outfit of the day #streetstyle #fashion","timestamp": 1776528189,"date": "2026-04-17T17:23:09+00:00","likes": 2450,"comments": 89,"plays": 54200,"duration": 30,"has_audio": true,"location": "New York","image_url": "https://example.com/post.jpg","thumbnail_url": "https://example.com/thumb.jpg","video_url": "https://example.com/video.mp4","width": 1080,"height": 1920,"media_count": 1,"media_items": [{"position": 1,"id": "3877256089956040035_227764111","is_video": true,"image_url": "https://example.com/post.jpg","thumbnail_url": "https://example.com/thumb.jpg","video_url": "https://example.com/video.mp4","width": 1080,"height": 1920}]}
Export Formats
- JSON - Complete structured data with all 25 fields
- CSV - Spreadsheet-compatible flat format
- API Access - Programmatic access via Apify Client SDK
- Cloud Storage - Automatic upload to Apify Dataset
Integration Examples
Actor ID for Platform Integration
agentx/instagram-trending-scraper
Make.com Integration (No-Code Automation)
- Login to Make.com (Get 1000 Free Credits)
- Add Module: "Run an Actor"
- Enable Map: Turn on 'Map' (right side of 'Actor*')
- Paste Actor ID:
agentx/instagram-trending-scraper - Refresh: Click '⟳ Refresh' (left side of Map)
- Configure Input: Set max results and media download mode
- Set Synchronous: "Run synchronously" = YES
- Add Output Module: "Get Dataset Items"
- Select Dataset: Choose
defaultDatasetId
n8n.io Integration (Workflow Automation)
- Add Node: 'Run an Actor and get dataset' from Apify node
- Select By ID: Actor → By ID
- Paste Actor ID:
agentx/instagram-trending-scraper - Configure Input: Modify parameters as needed
Python Integration Example
from apify_client import ApifyClientclient = ApifyClient('YOUR_API_TOKEN')run_input = {"max_results": 50,"download_medias": "none"}run = client.actor("agentx/instagram-trending-scraper").call(run_input=run_input)for item in client.dataset(run["defaultDatasetId"]).iterate_items():print(item)
JavaScript/Node.js Integration
import { ApifyClient } from "apify-client";const client = new ApifyClient({token: "YOUR_API_TOKEN",});const input = {max_results: 50,download_medias: "none",};const run = await client.actor("agentx/instagram-trending-scraper").call(input);const { items } = await client.dataset(run.defaultDatasetId).listItems();items.forEach((item) => {console.log(item);});
JSON-LD Metadata
{"@context": "https://schema.org","@type": "SoftwareApplication","name": "Instagram Trending Scraper","description": "Instagram Explore data extraction API delivering 25 structured fields per trending post with topic labels for trend intelligence and content analytics pipelines","applicationCategory": "Developer Tools","operatingSystem": "Cloud","url": "https://apify.com/agentx/instagram-trending-scraper?fpr=aiagentapi","dateModified": "2026-07-02","offers": {"@type": "Offer","price": "0.0025","priceCurrency": "USD"}}
Pricing & Cost Calculator
Transparent Pay-Per-Use Model
| Event Type | Price | Description |
|---|---|---|
| Actor Start | $0.01 | One-time charge per Actor run (charged per GB of memory, minimum one event) |
| Post Result | $0.0025 | Charged for each Explore post extracted. Includes topic label, caption, engagement counts, media URLs, and all 25 schema fields. |
| Media | $0.001 | Additional charge per post when download_medias is set to image or all |
Cost Examples
URL-Only Mode (100 posts, download_medias: "none"):
- Post Data: 100 × $0.0025 = $0.25
- Actor Start: $0.01
- Total: ~$0.26
Image Download Mode (100 posts, download_medias: "image"):
- Post Data: 100 × $0.0025 = $0.25
- Media: 100 × $0.001 = $0.10
- Actor Start: $0.01
- Total: ~$0.36
Large Scale (1,000 posts, URL-only):
- Post Data: 1,000 × $0.0025 = $2.50
- Actor Start: $0.01
- Total: ~$2.51
Competitive Pricing Comparison
| Feature | Instagram Trending Scraper | Bright Data | Octoparse | ScrapingBee |
|---|---|---|---|---|
| Cost per 1K Posts | $2.50 ⭐ | $4.80 | $5.50 | $4.00 |
| Topic Labels | Section + Topic ⭐ | No | No | No |
| No Username Required | Yes ⭐ | Profile req | Profile req | Profile req |
| Media Downloads | Built-in ⭐ | No | No | No |
| API Quality | Enterprise ⭐ | Complex | No API | Basic |
Use Cases & Applications
Trend Intelligence & Market Research
Instagram Platform Trend Monitoring
Extract structured Explore posts daily to track which content categories Instagram promotes algorithmically. The section and topic fields reveal platform-level trend taxonomy — enabling topic velocity analysis and early trend signal detection without relying on hashtag proxies.
Category-Level Content Analysis
Segment Explore posts by section and topic to analyze content formats, engagement patterns, and creator characteristics per Instagram category. Feed into brand strategy tools, category research reports, and market intelligence dashboards.
Viral Content Detection Monitor engagement-to-post-age ratios across Explore items to identify posts gaining velocity before they reach mainstream awareness. Build automated alerts for viral signals in specific topic categories.
AI & Machine Learning Applications
Multimodal Training Datasets Combine Explore post captions, topic labels, and media assets to build training datasets for content classification models, visual trend detectors, and caption-style recommenders — all labeled with Instagram's own taxonomy.
Trend Prediction Models Build time-series models using daily Explore snapshots to predict which topic categories and content formats will gain traction on Instagram's recommendation algorithm.
NLP & Caption Intelligence Extract caption text from high-engagement Explore posts per topic category to train topic-specific language models, hashtag recommendation systems, and content rephrasing pipelines.
Content Strategy & Agency Tools
Content Calendar Research Query daily Explore data to identify which post formats and topics are receiving algorithm promotion in your client's industry category — informing data-driven content planning.
Competitive Content Benchmarking Compare engagement benchmarks across Explore topic categories to establish performance baselines for brand content strategies and influencer brief requirements.
Visual Asset Curation Download trending visual assets with media download mode for mood board creation, creative inspiration workflows, and UGC identification pipelines.
Media & Publishing
Editorial Trend Coverage Journalists and content teams can extract structured Explore data to support trend coverage, verify emerging cultural moments, and quantify engagement signals for story prioritization.
Platform Algorithm Research Researchers can build longitudinal datasets of Instagram Explore content to study recommendation algorithm behavior, category distribution patterns, and engagement amplification signals.
FAQ - Frequently Asked Questions
General Questions
What data does the Instagram Trending Scraper extract per post?
Each run returns 25 structured fields per Explore post including section and topic taxonomy labels, caption, media URLs (image, thumbnail, video), engagement counts (likes, comments, plays), timestamps, media dimensions, and carousel item arrays.
Does this require a username or authentication?
No. This actor targets Instagram's public Explore feed directly. No username input, login, or Instagram account is required. Set max_results and run.
What are section and topic fields?
These fields reflect Instagram's internal Explore taxonomy. section is the broad category (e.g., "Fashion & Beauty", "Music", "Food & Drink") and topic is the specific subcategory (e.g., "Street Fashion", "Pop Music"). Both are sourced from Instagram's Explore feed metadata.
Technical Questions
What is the difference between download_medias modes?
none: Returns media URLs without downloading — lowest cost, fastest executionimage: Downloads and stores image files to Apify key-value storage — enables offline access to imagesall: Downloads images and videos — suitable for archival and training dataset assembly
What format does the output use?
Output is structured JSON with 25 fields per post. Data is also available in CSV format and via REST API using the Apify dataset endpoint.
Can I filter by specific Explore topic categories?
Topic filtering is not available as an input parameter — the actor collects posts from the public Explore feed as Instagram presents them. Filter the output dataset by section or topic field values in your downstream pipeline.
Is the scraper compatible with AI frameworks?
Yes. The JSON output is optimized for LangChain, CrewAI, AutoGPT, and other AI frameworks. Topic-labeled Explore data is directly suitable for trend classification agents, content recommendation systems, and multimodal analytics pipelines.
Data Quality Questions
How often does the Explore feed change?
Instagram's Explore feed refreshes continuously. Run the actor on a scheduled basis (daily or hourly) to capture trending content snapshots over time. Each run returns the current state of the public Explore feed at execution time.
Why might the same post appear in multiple runs?
Trending Explore posts can remain visible for hours or days. Use the id or code field as a deduplication key when merging runs into a single dataset.
Why are some topic fields empty?
Not all Explore posts are classified with a topic label. The topic field is populated when Instagram's Explore feed includes topic metadata for that specific post. Section labels have higher coverage than topic labels.
SEO Keywords & Search Terms
Primary Keywords
instagram trending scraper, instagram explore API, instagram trending data extraction, instagram explore scraper API, instagram trend intelligence, instagram viral content API, instagram explore feed extraction, trending instagram posts API, instagram topic monitoring, instagram explore structured data
Long-Tail Keywords
how to scrape instagram explore trending posts, instagram explore API structured JSON schema, bulk instagram trending content scraper for analytics, instagram topic label extraction API, instagram explore engagement data pipeline, viral content detection pipeline instagram, instagram trending feed structured extraction, instagram explore topic taxonomy API, instagram trend monitoring pipeline no login, instagram explore category post extraction
Industry Terms
social media trend intelligence, instagram algorithm research, explore feed analytics, content trend detection, viral signal monitoring, instagram platform intelligence, social media trend API, instagram recommendation data, explore content benchmarking, instagram category analytics
Use Case Keywords
AI training data instagram trending, instagram trend prediction model, instagram content calendar research, instagram algorithm insights API, instagram topic classification pipeline, explore feed viral detection, instagram brand strategy intelligence, multimodal trend dataset instagram, social media market intelligence explore, instagram content velocity analysis
Trust & Certifications
- ✅ Enterprise Ready - Used by analytics platforms, media companies, and trend intelligence tools
- ✅ GDPR Compliant - EU data protection standards and privacy regulations
- ✅ 99.9% Uptime - Reliable cloud infrastructure with automatic failover
- ✅ Regular Updates - Continuous maintenance for Instagram platform changes
Legal & Compliance
Data Rights & Usage
All data extracted by this actor originates from publicly available Instagram Explore pages. Users are responsible for ensuring their use of extracted data complies with applicable laws and regulations in their jurisdiction.
Privacy Compliance
- GDPR: Compliant with EU General Data Protection Regulation. No personal data is stored beyond the extraction session.
- CCPA: Compliant with California Consumer Privacy Act requirements. Data processing follows privacy-by-design principles.
Platform Terms of Service
Users must review and comply with Instagram's terms of service when using extracted data. This tool accesses only publicly available information visible without authentication.
Enterprise Support
For enterprise licensing, custom integrations, or compliance inquiries, contact our team:
- Telegram: @AiAgentApi
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Support & Community
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Last Updated: July 02, 2026
