Fast Instagram Location Scraper API
Pricing
Pay per event
Fast Instagram Location Scraper API
Instagram Location Scraper API - extract geo-tagged posts, GPS coordinates, and engagement data at 100β200 posts/sec. $0.025/location (50 FREE). $0.0005 per post beyond 50, no login or proxies. Ideal for local marketing, tourism, retail, and real estate using Instagram location data at scale.
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Pay per event
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API Dojo
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π Fast Instagram Location Scraper API: Extract Geo-Tagged Posts at Scale πΊοΈ
This Actor provides a fast, scalable API for extracting Instagram posts from any geographic location or place.
Extract Instagram location posts, geo-tagged content, and engagement data with one of the most powerful Instagram Location Scraper APIs available. This Instagram location data extractor collects post content, user profiles, engagement metrics, and GPS coordinates with transparent event-based pricing at $0.025 per location (first 60 posts FREE), then just $0.0005 per additional post.
Perfect for local marketing, tourism analysis, real estate research, and geo-targeted intelligence - scrape Instagram location posts by URL, perform bulk location data extraction, extract geo-tagged content at 100-200 posts per second, and receive complete location metadata in structured JSON or CSV format.
π° Price: $0.025/location (60 FREE posts) + $0.0005/post
β‘ Speed: 100-200 posts per second
π Data Coverage: Posts, user profiles, GPS coordinates, engagement metrics, media content
π Free Tier: First 60 posts included per location query
π‘οΈ No Proxy Required | No Login Needed | Event-Based Pricing
This Instagram location scraper API is ideal for marketers, tourism businesses, real estate professionals, and data engineers who need reliable, scalable access to geo-tagged Instagram data at scale.
π Table of Contents
- βΉοΈ Disclaimer
- π§ What Does It Do?
- π° Pricing
- β‘ Features
- π Input Parameters
- π‘ Strategy Guide
- π Output
- π§© Custom Map Function
- π΄ Related Tools
- π Demo Mode
- π§ Troubleshooting
- π― Use Cases
- β FAQ
- π Contact
βΉοΈ Disclaimer About This Instagram Location API
Actively maintained with continuous updates for platform changes. No login credentials or proxies required-start extracting geo-tagged Instagram data immediately. Transparent event-based pricing at $0.025/location (60 posts FREE) + $0.0005/post. Extraction speed: 100-200 posts per second. Direct developer support via apidojo10@gmail.com
π§ What Does Instagram Location Scraper API Do?
This API extracts comprehensive geo-tagged post data, user profiles, and engagement metrics from Instagram.com without requiring authentication or proxies. Use this Instagram location data extractor to collect location-based posts, GPS coordinates, media content, and audience insights from any Instagram location at 100-200 posts per second with transparent event-based pricing.
Location scraping is the automated process of extracting posts, captions, hashtags, user data, and engagement metrics from geo-tagged Instagram content. This Instagram geo-tag scraper enables local marketing research, competitive location intelligence, tourism analysis, and regional social media monitoring at scale.
Core Extraction Capabilities
π Location-Based Post Extraction
Extract complete post data from any Instagram location including captions, hashtags, media URLs, timestamps, like counts, and comment counts. The scraper retrieves all public content tagged at specific places, venues, cities, or landmarks-perfect for local market analysis and competitor monitoring.
πΊοΈ GPS Coordinates & Location Metadata
Automatically extracts precise GPS coordinates (latitude/longitude), location names, addresses, and place categories from Instagram geo-tags. This API captures complete location metadata for mapping, geographic analysis, and location-based business intelligence.
πΈ Media Content & Visual Data
Collect images, videos, carousels, and Reels from location-tagged posts. The scraper downloads media URLs, thumbnail images, and video content for visual analysis, content research, and competitive media monitoring.
π₯ User Profile & Engagement Data
Extract user profiles, engagement metrics, and audience insights from location-based posts including username, follower counts, verification status, like counts, comment counts, and posting patterns. Identify local influencers, brand ambassadors, and high-engagement users at specific locations.
π High-Speed Location Data Extraction
Process 100-200 posts per second with optimized pagination and smart duplicate handling. Built for enterprise-scale Instagram location data extraction with transparent cost controls and reliable performance.
π Multiple Location Search Methods
Search by location ID, location name, GPS coordinates, or location URLs. This Instagram location search tool supports flexible input formats for seamless integration with mapping tools, CRM systems, and location databases.
β‘ Features and Functionality
Apidojo's Instagram Location Scraper API combines blazing-fast extraction speed with enterprise-grade reliability. Get complete geo-tagged post data, user profiles, and location metadata with transparent event-based billing and powerful extraction capabilities.
Core Features
| Feature | Description | Benefit |
|---|---|---|
| π° Event-Based Pricing | Pay only for posts you actually scrape-no subscriptions, no monthly fees | Cost control: Only pay for what you extract |
| π 60 Free Posts Per Location | Every location query includes first 60 posts at no extra charge | Budget-friendly: $0.025 gets you 50 complete posts |
| β‘ 100-200 Posts/Second | High-speed extraction processes hundreds of geo-tagged posts per second | Time savings: Extract thousands of posts in minutes |
| π GPS Coordinates | Extract latitude/longitude data from every location | Geo-intelligence: Map posts and analyze geographic patterns |
| π₯ User Profile Extraction | Automatically extracts post owner username, full name, profile picture, verification status | Audience intelligence: Identify local influencers and engaged users |
| π‘οΈ Zero Authentication | No cookies, no login credentials, no account required | Safe & simple: Start extracting immediately without setup |
| π No Proxy Needed | Direct API access without residential or datacenter proxies | Cost savings: No proxy fees, simplified infrastructure |
| π Date Range Filtering | Filter posts by creation date using until parameter | Precision: Extract only recent or time-specific content |
| π§ Custom Map Function | JavaScript function to transform, filter, or enrich output data on-the-fly | Data control: Shape results to match your exact requirements |
| β¨ Structured JSON Output | Clean JSON/CSV export ready for databases, spreadsheets, or analytics tools | Integration-ready: Import directly into your analysis pipeline |
| π Python & API Access | RESTful API endpoint for programmatic access-works with Python, Node.js, or any language | Developer-friendly: Integrate into existing workflows |
| π₯ Bulk Location Extraction | Extract posts from multiple locations in a single run | Efficiency: Scrape dozens of places simultaneously |
π° Pricing: Transparent Event-Based Costs
Transparent pay-per-use pricing for this Instagram location scraper API-no subscriptions, no hidden fees, no monthly minimums:
| Event Type | Price | What's Included |
|---|---|---|
| Location Query | $0.025 per location | First 60 posts included FREE! |
| Dataset Items | $0.0005 per post | Only charged for posts beyond the FREE 50 posts |
π How Charges Work
Location Scraping:
- Each
locationIdor location URL instartUrls= 1 Location Query ($0.025) - First 60 posts are FREE with each query
- Additional posts beyond 60 cost $0.0005 each
Cost Examples:
| Scenario | Charges | Calculation | Total Cost |
|---|---|---|---|
| 1 location, 60 posts total | 1 location query | $0.025 Γ 1 | $0.025 |
| 1 location, 100 posts total | 1 location query + 40 items | $0.025 + ($0.0005 Γ 40) | $0.045 |
| 1 location, 500 posts total | 1 location query + 440 items | $0.025 + ($0.0005 Γ 440) | $0.245 |
| 1 location, 1000 posts total | 1 location query + 940 items | $0.025 + ($0.0005 Γ 940) | $0.495 |
| 5 locations, 300 posts total | 5 location queries | $0.025 Γ 5 | $0.125 |
| 5 locations, 1000 posts total | 5 location queries + 700 items | ($0.025 Γ 5) + ($0.0005 Γ 700) | $0.475 |
| 10 locations, 1000 posts total | 10 location queries + 400 items | ($0.025 Γ 10) + ($0.0005 Γ 400) | $0.450 |
π‘ Pro Tip
Each location query includes the first 60 posts FREE! This makes local market research and geo-targeted social media analysis incredibly cost-effective. Perfect for tourism businesses, local marketing agencies, and hospitality brands tracking location-based content without breaking the budget.
π Input Parameters
Streamlined configuration for extracting geo-tagged posts from Instagram locations. Use direct location URLs or location IDs with flexible options for date filtering and output customization.
| Field | Type | Description | Default value |
|---|---|---|---|
| startUrls | array | Instagram location URLs (e.g., https://www.instagram.com/explore/locations/213131048/berlin-germany/). Uses Location Query pricing ($0.025 per location, first 60 posts FREE). Most intuitive option for location extraction. | [] |
| locationIds | array | Instagram Location IDs extracted from URLs (e.g., 213131048). Uses Location Query pricing ($0.025 per location, first 60 posts FREE). Useful when you already have location IDs. | [] |
| maxItems | integer | Maximum number of posts to extract across entire run. Controls your total costs and output volume. | Infinity |
| until | string | Date filter - only include posts created on or after this date (YYYY-MM-DD format, e.g., "2025-01-01"). Useful for extracting recent content or time-specific analysis. | "2025-01-01" |
| customMapFunction | string | JavaScript function that takes each post object as argument and returns transformed data. Use to customize output format or calculate custom metrics. Not for filtering-filtering may result in automatic restrictions. | null |
Note: You must provide either startUrls OR locationIds (at least one is required).
π‘ Instagram Location API Strategy Guide
Choose the right extraction approach to optimize costs and get exactly the geo-tagged Instagram data you need. Each method-location URL extraction or location ID scraping-serves different use cases for this location scraper.
π― Strategy 1: Quick Location Analysis
Best for: Local competitor monitoring, venue analysis, single-location research
Method: Location URL with controlled output
json
{"startUrls": ["https://www.instagram.com/explore/locations/213131048/berlin-germany/","https://www.instagram.com/explore/locations/213385402/new-york-new-york/"],"maxItems": 150}
| Cost Component | Calculation | Amount |
|---|---|---|
| 2 location queries | 2 Γ $0.025 | $0.050 |
| 30 dataset items | (150 - 120 free) Γ $0.0005 | $0.015 |
| Total Cost | $0.065 | |
| Cost per post | $0.00043 |
What you get:
- β Up to 150 geo-tagged posts from 2 locations
- β First 60 posts per location completely FREE (120 total free)
- β Post captions, hashtags, media URLs, GPS coordinates
- β Perfect for comparing two venues or city districts
Why this works: Location URL method is intuitive and includes generous free tier-ideal for monitoring multiple places affordably.
π― Strategy 2: Location ID-Based Extraction
Best for: Automated workflows, database integration, scheduled location monitoring
Method: Location IDs with controlled volume
json
{"locationIds": ["213131048", "213385402", "214456789"],"maxItems": 200}
| Cost Component | Calculation | Amount |
|---|---|---|
| 3 location queries | 3 Γ $0.025 | $0.075 |
| 20 dataset items | (200 - 180 free) Γ $0.0005 | $0.010 |
| Total Cost | $0.085 | |
| Cost per post | $0.00043 |
What you get:
- β Up to 200 geo-tagged posts from 3 locations
- β 180 free posts included (60 per location Γ 3)
- β Clean location ID input perfect for programmatic access
- β Ideal for CRM integration and automated location tracking
Why this works: Location IDs integrate seamlessly with existing databases and automated workflows-extract data using IDs from your systems.
π― Strategy 3: Time-Filtered Location Research
Best for: Recent content analysis, event monitoring, trend tracking
Method: Location URL with date filtering
json
{"startUrls": ["https://www.instagram.com/explore/locations/213131048/berlin-germany/"],"until": "2025-11-01","maxItems": 100}
| Cost Component | Calculation | Amount |
|---|---|---|
| 1 location query | 1 Γ $0.025 | $0.025 |
| Up to 40 dataset items | (100 - 60 free) Γ $0.0005 | $0.020 |
| Total Cost | $0.045 | |
| Cost per post | $0.00045 |
What you get:
- β Up to 100 posts from Berlin created on/after November 1, 2025
- β First 60 posts completely FREE
- β Only posts matching date filter included
- β Perfect for analyzing recent events or seasonal trends
Why this works: Date filtering extracts only relevant recent content-no wasted data on old posts, ideal for event analysis and trend monitoring.
π― Strategy 4: Large-Scale Multi-Location Intelligence
Best for: Market research, regional analysis, competitive intelligence, tourism insights
Method: Multiple location IDs with high extraction volume
json
{"locationIds": ["213131048","213385402","214456789","215567890","216678901"],"maxItems": 500}
| Cost Component | Calculation | Amount |
|---|---|---|
| 5 location queries | 5 Γ $0.025 | $0.125 |
| 200 dataset items | (500 - 300 free) Γ $0.0005 | $0.100 |
| Total Cost | $0.225 | |
| Cost per location | $0.045 |
What you get:
- β Up to 500 geo-tagged posts from 5 different locations
- β 300 free posts included (60 per location Γ 5)
- β Comprehensive dataset for regional comparison
- β Perfect for enterprise-scale location intelligence
Why this works: High-volume extraction remains affordable at half a cent per post-ideal for market research across multiple cities or venues.
π Strategy Comparison Table
| Strategy | Best For | Locations | Posts | Total Cost | Cost/Post |
|---|---|---|---|---|---|
| Quick Analysis | Competitor monitoring | 2 | 150 | $0.065 | $0.00043 |
| Location ID Extract | Automation | 3 | 200 | $0.085 | $0.00043 |
| Date Filtered | Event tracking | 1 | 100 | $0.045 | $0.00045 |
| Multi-Location | Market research | 5 | 500 | $0.225 | $0.00045 |
π§ Pro Tips for Location Data Optimization
β Maximize Free Posts
Each location query includes 60 FREE posts. Monitor 5 locations = 300 free posts before paying for additional data. Perfect for ongoing competitive intelligence without high costs.
β Use maxItems Strategically
Set maxItems to control costs. For testing, use maxItems: 100. For production, calculate your budget: maxItems = (budget - query_cost) / 0.0005.
β Leverage Date Filtering
Use until parameter to extract only recent posts-saves costs by avoiding old irrelevant content. Perfect for event monitoring and trend analysis.
β Batch Related Locations
Extract posts from multiple related locations in one run rather than separate runs to minimize operational overhead.
β URLs vs Location IDs Decision
- Have direct location URLs? Use
startUrls($0.025 per location, 60 free posts) - Have location IDs from database? Use
locationIds($0.025 per location, 60 free posts) - Rule of thumb: Both methods cost the same-choose based on your data source format
π¦ Output
Output is stored in a dataset. Each item represents a geo-tagged Instagram post with comprehensive location data, engagement metrics, and media content:
Full Location Post Output
json
{"type": "post","id": "1234567890123456789","code": "ABCdefGhIjK","url": "https://www.instagram.com/p/ABCdefGhIjK/","createdAt": "2025-01-15T10:20:30.000Z","likeCount": 123,"commentCount": 45,"caption": "Example caption text with #hashtags and @mentions.","isAvailable": true,"isLikeAndViewCountsDisabled": false,"isPinned": false,"isPaidPartnership": false,"isCarousel": false,"isVideo": true,"owner": {"id": "9876543210","username": "example_user","fullName": "Example User","profilePicUrl": "https://example.com/profile.jpg","isPrivate": false,"isVerified": true},"location": {"id": "555555555","name": "Example Place","city": "Sample City, Country","lat": 40.7128,"lng": -74.006},"video": {"id": "video_12345","url": "https://example.com/video.mp4","width": 1080,"height": 1920,"duration": 12.34},"image": {"url": "https://example.com/image.jpg","width": 1080,"height": 1350},"audio": {"id": "audio_98765","title": "Example Track","artist": "Example Artist","coverArt": "https://example.com/cover.jpg","duration": 180000,"audioUrl": "https://example.com/audio.mp4"}}
Output Fields Explained
| Field | Description |
|---|---|
| type | Always "post" for post objects |
| id | Unique Instagram post ID |
| code | Instagram shortcode identifier (used in URLs) |
| url | Direct link to Instagram post |
| createdAt | ISO 8601 timestamp when post was published |
| likeCount | Number of likes the post received |
| commentCount | Number of comments on the post |
| caption | Post caption text (includes hashtags and mentions) |
| isAvailable | Whether the post is still available on Instagram |
| isVideo | Whether the post contains video content |
| isCarousel | Whether the post is a multi-image carousel |
| isPaidPartnership | Whether the post is a paid brand partnership |
| owner.id | Instagram user ID of post creator |
| owner.username | Instagram handle of post creator |
| owner.fullName | Display name of post creator |
| owner.isVerified | Blue checkmark verification status |
| owner.profilePicUrl | Profile picture URL (high quality) |
| location.id | Instagram location ID |
| location.name | Location name (venue, landmark, or place) |
| location.city | City and country information |
| location.lat | GPS latitude coordinate |
| location.lng | GPS longitude coordinate |
| video.url | Direct video file URL (if post is video) |
| video.duration | Video length in seconds |
| image.url | Image file URL (high quality) |
| audio.title | Audio track title (for Reels with music) |
| audio.artist | Audio track artist name |
| audio.audioUrl | Direct audio file URL |
Export Options
CSV Export:
Export Instagram location data to CSV directly from Apify Console-perfect for spreadsheet analysis, database imports, and reporting tools.
JSON Export:
Download complete JSON datasets with nested objects preserved-ideal for programmatic processing and API integrations.
API Access:
Access extracted data via RESTful API endpoints-integrate directly into Python scripts, Node.js applications, or any HTTP client.
π§© Custom Map Function: Transform Location Data Output
Transform and customize your Instagram Location Scraper API output data using the customMapFunction parameter. This JavaScript function receives each geo-tagged post object and returns your desired format-perfect for adding engagement metrics, extracting location coordinates, reformatting fields, or calculating custom analytics.
How It Works
The custom map function accepts each post object as input and returns your transformed data structure. Use it to customize location data output format, calculate engagement scores, extract GPS coordinates to top level, or add custom classifications.
Important: Custom map function is for data transformation-not for filtering. Filtering items may result in automatic restrictions.
Example Transformation
Add custom engagement metrics, extract location data, and clean up output:
javascript
(object) => ({...object,engagementRate: ((object.likeCount + object.commentCount) / 1000).toFixed(2),locationName: object.location?.name,ownerUsername: object.owner?.username,isPopular: object.likeCount > 100,formattedDate: new Date(object.createdAt).toLocaleDateString(),audio: undefined, // Remove audio object from outputvideo: undefined // Remove video object from output})
Example Transformation Results
Input (original post object):
json
{"type": "post","id": "1234567890123456789","likeCount": 250,"commentCount": 45,"createdAt": "2025-01-15T10:20:30.000Z","location": {"name": "Berlin, Germany","lat": 52.5200,"lng": 13.4050},"owner": {"username": "travel_berlin"},"audio": {...},"video": {...}}
Output (transformed with custom map function):
json
{"type": "post","id": "1234567890123456789","likeCount": 250,"commentCount": 45,"createdAt": "2025-01-15T10:20:30.000Z","location": {"name": "Berlin, Germany","lat": 52.5200,"lng": 13.4050},"owner": {"username": "travel_berlin"},"engagementRate": "0.30","locationName": "Berlin, Germany","ownerUsername": "travel_berlin","isPopular": true,"formattedDate": "1/15/2025"}
Common Use Cases
1. Engagement Score Calculation
Add custom engagement metrics for location-based content analysis:
javascript
(object) => ({...object,engagementScore: object.likeCount + (object.commentCount * 2),engagementRate: (object.likeCount / 1000).toFixed(2),isHighEngagement: object.likeCount > 500,hasComments: object.commentCount > 0})
Use case: Identify high-performing posts at specific locations for influencer marketing and venue analysis.
2. Location Data Extraction & Flattening
Extract GPS coordinates and location details to top level for easier mapping:
javascript
(object) => ({postId: object.id,postUrl: object.url,locationId: object.location?.id,locationName: object.location?.name,city: object.location?.city,latitude: object.location?.lat,longitude: object.location?.lng,likes: object.likeCount,comments: object.commentCount,posted: object.createdAt})
Use case: Create CSV exports for GIS mapping tools, geographic analysis software, or location intelligence dashboards.
3. User & Influencer Analysis
Extract and analyze post creator data for influencer identification:
javascript
(object) => ({...object,authorUsername: object.owner?.username,authorName: object.owner?.fullName,authorVerified: object.owner?.isVerified,authorPrivate: object.owner?.isPrivate,isInfluencer: object.owner?.isVerified && object.likeCount > 1000,profileUrl: `https://instagram.com/${object.owner?.username}`})
Use case: Identify local influencers posting at specific venues for brand partnerships and ambassador programs.
4. Content Type Classification
Categorize posts by media type and content attributes:
javascript
(object) => ({...object,mediaType: object.isVideo ? 'video' : object.isCarousel ? 'carousel' : 'image',hasAudio: !!object.audio,isPaidPost: object.isPaidPartnership,contentCategory: object.caption?.includes('#travel') ? 'travel' :object.caption?.includes('#food') ? 'food' : 'other'})
Use case: Analyze content distribution patterns at locations-what types of posts perform best at restaurants vs landmarks.
5. Hashtag & Mention Extraction
Extract hashtags and mentions from captions for trend analysis:
javascript
(object) => ({...object,hashtags: object.caption?.match(/#[\w]+/g) || [],mentions: object.caption?.match(/@[\w.]+/g) || [],hashtagCount: (object.caption?.match(/#[\w]+/g) || []).length,hasLocationHashtag: /#[\w]+/.test(object.location?.name || ''),captionLength: object.caption?.length || 0})
Use case: Track trending hashtags at specific locations for marketing campaigns and content strategy.
6. Time-Based Analysis
Add temporal fields for time-of-day and seasonal analysis:
javascript
(object) => ({...object,postDate: new Date(object.createdAt).toLocaleDateString(),postTime: new Date(object.createdAt).toLocaleTimeString(),dayOfWeek: new Date(object.createdAt).toLocaleDateString('en-US', { weekday: 'long' }),hourOfDay: new Date(object.createdAt).getHours(),isWeekend: [0, 6].includes(new Date(object.createdAt).getDay()),month: new Date(object.createdAt).getMonth() + 1})
Use case: Analyze posting patterns-when do users post most at restaurants, tourist attractions, or events?
7. Data Cleanup & Simplification
Remove unnecessary fields to reduce dataset size for analysis:
javascript
(object) => ({id: object.id,url: object.url,likes: object.likeCount,comments: object.commentCount,caption: object.caption?.substring(0, 100), // First 100 chars onlylocation: object.location?.name,latitude: object.location?.lat,longitude: object.location?.lng,username: object.owner?.username,verified: object.owner?.isVerified,posted: object.createdAt})
Use case: Create lightweight datasets for large-scale analysis with only essential fields.
8. Geographic Distance Calculation
Add distance calculations from a reference point:
javascript
(object) => {const refLat = 52.5200; // Berlin city centerconst refLng = 13.4050;const lat = object.location?.lat;const lng = object.location?.lng;const distance = lat && lng ?Math.sqrt(Math.pow(lat - refLat, 2) + Math.pow(lng - refLng, 2)) * 111 : // Rough km conversionnull;return {...object,distanceFromCenter: distance ? distance.toFixed(2) : null,isNearby: distance && distance < 5};}
Use case: Analyze content proximity to landmarks, competitor locations, or city centers.
Best Practices
β DO use custom map function for:
- Adding calculated fields (engagement rates, popularity scores, geographic metrics)
- Reformatting data structures for CSV exports or database imports
- Extracting nested fields (location coordinates, user data) to top level
- Converting timestamps to readable formats or specific timezones
- Adding custom classifications based on location, engagement, or content type
- Creating derived metrics for business intelligence and analytics
β DO NOT use custom map function for:
- Filtering out posts (may result in restrictions)
- Removing items based on conditions
- Reducing dataset size through omission
- Conditional exclusion of posts
π Demo Mode & Free Testing
If you run on Apify's Free plan, you can still use this Instagram location scraper with limited results (up to 10 items). For unrestricted usage and to unlock the full power of the Instagram location API at scale, subscribe to a paid Apify plan at apify.com/pricing.
Free Plan Benefits:
- β Test the Instagram location scraper API with up to 10 post extractions
- β Each location query includes 60 posts FREE (even on paid plans)
- β Perfect for testing geo-targeted workflows before scaling
- β Validate output format and data quality risk-free
Upgrade for Full Access:
- π Unlimited post extraction from Instagram locations
- π 100-200 posts per second processing speed
- π API access for automated workflows and integrations
- π Enterprise-scale location data extraction capabilities
For unrestricted usage, subscribe to a paid Apify plan.
π― Who Needs This Instagram Location Scraper API? (Use Cases & Industries)
Extract geo-tagged Instagram data to power your location intelligence, competitive analysis, and local market research. This Instagram location data extractor serves professionals across multiple industries who need reliable Instagram geo-tag scraping, GPS-based social media intelligence, and location-specific audience insights at scale.
π½οΈ Restaurant & Food Industry Intelligence
Extract Popular Restaurants from Instagram by Location
What you can do:
β
Discover trending restaurants and cafes by scraping posts tagged at dining locations-identify which venues generate the most Instagram engagement, user-generated content, and social media buzz
β
Analyze competitor restaurant performance by extracting posts from competitor locations-track their customer sentiment, posting frequency, popular menu items mentioned in captions, and seasonal trends
β
Find local food influencers posting at restaurants in your area-build influencer partnership lists with usernames, follower counts, and engagement rates from location-tagged posts
β
Monitor brand mentions and customer reviews by scraping geo-tagged posts at your restaurant locations-track sentiment, identify service issues, and discover your most photogenic dishes
β
Research new restaurant location opportunities by analyzing Instagram activity density across neighborhoods-identify high-traffic dining areas and underserved markets
β
Track seasonal food trends by location by extracting posts with date filters-understand which menu items, hashtags, and food styles trend in specific cities or neighborhoods
β
Identify peak dining times and posting patterns by analyzing post timestamps from restaurant locations-optimize your social media strategy and staffing schedules
Why this Instagram location scraper works:
- Cost-effective discovery: $0.025 per restaurant location includes 60 FREE posts-analyze dozens of restaurants affordably
- GPS coordinates included: Exact latitude/longitude data enables precise geographic mapping and proximity analysis
- User profile extraction: Identify food bloggers, micro-influencers, and regular customers posting at dining locations
- Engagement metrics: Like counts and comment counts reveal which restaurants generate the most social buzz
- Date filtering: Extract only recent posts to track current trends, seasonal menus, and real-time customer sentiment
Example use case:
A restaurant chain wants to identify the most popular brunch spots in Los Angeles for competitive analysis. They extract 200 posts from 10 competitor brunch locations ($0.25 total cost), analyze engagement rates, identify trending menu items mentioned in captions, and discover 5 local food influencers consistently posting at these venues.
Search queries this answers:
- "How to extract popular restaurants from Instagram"
- "Find trending cafes using Instagram location data"
- "Scrape restaurant reviews from Instagram geo-tags"
- "Identify food influencers by restaurant location"
- "Analyze competitor restaurant social media performance"
π Local Marketing & Competitor Intelligence
Track Local Marketing Trends & Competitor Activity by Geographic Area
What you can do:
β
Analyze local marketing campaigns by extracting posts from competitor business locations-track their hashtags, promotional content, user engagement, and campaign performance over time
β
Identify trending products and services in specific neighborhoods by scraping location-tagged posts-discover what products customers photograph most at local stores and venues
β
Monitor competitor store openings and events by tracking new location IDs and event-related posts-stay ahead of competitive moves in your market
β
Discover local micro-influencers posting at businesses in your area-build targeted influencer lists with authentic local audiences and genuine engagement
β
Track brand mentions across multiple locations by extracting posts from all your business locations-identify top-performing stores, regional sentiment differences, and location-specific issues
β
Analyze hyperlocal hashtag trends by extracting posts with specific location + hashtag combinations-understand which marketing messages resonate in different neighborhoods
β
Map customer journey patterns by analyzing which locations customers visit before/after yours-identify cross-promotion opportunities and foot traffic patterns
Why this location API works:
- Bulk location extraction: Extract posts from dozens of competitor locations in one run-compare performance across entire markets
- 60 free posts per location: Monitor 20 competitor stores = 1,200 free posts for comprehensive competitive intelligence
- Custom date ranges: Use
untilparameter to extract only recent posts-track real-time marketing campaigns and seasonal promotions - Structured geographic data: GPS coordinates enable heatmap visualization, proximity analysis, and territory planning
Example use case:
A fitness brand wants to analyze competitor gym locations in New York City. They extract 500 posts from 15 competitor gym locations ($0.375 total), identify which locations have the highest engagement, discover trending fitness hashtags by neighborhood, find 20 local fitness influencers, and map geographic clusters of high social media activity.
Search queries this answers:
- "Track competitor marketing campaigns by location"
- "Extract Instagram posts from business locations"
- "Find local influencers posting at specific venues"
- "Analyze location-based marketing trends on Instagram"
- "Monitor competitor store social media activity"
π¨ Tourism & Hospitality Brand Monitoring
Monitor Visitor Posts from Hotels, Resorts, Landmarks & Tourist Attractions
What you can do:
β
Track guest experiences at hotels and resorts by scraping geo-tagged posts from your properties-monitor real-time customer sentiment, identify service issues, and discover your most photogenic amenities
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Analyze tourist attraction popularity by extracting posts from landmarks, museums, and tourist spots-understand seasonal visitor patterns, peak times, and trending activities
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Identify travel influencers and bloggers visiting your destination-build media lists with influencers who have authentic travel audiences and genuine engagement
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Monitor competitor hotel performance by scraping posts from competing properties-compare social media presence, guest satisfaction, and popular features
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Track destination marketing campaign effectiveness by analyzing location-tagged posts before/after campaigns-measure brand awareness growth and sentiment changes
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Discover user-generated content opportunities by finding high-quality photos and videos posted at your locations-request permission for marketing use
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Analyze seasonal tourism patterns by extracting posts with date filters-understand peak seasons, off-peak opportunities, and year-over-year trends
Why this geo-tag scraper works:
- Tourist location coverage: Extract data from hotels, landmarks, restaurants, beaches, museums, and any geo-tagged Instagram location
- Visual content access: Image URLs and video URLs enable you to identify sharable user-generated content for marketing
- Engagement analytics: Like counts and comment counts reveal which amenities, views, and experiences guests share most
- International support: Works with Instagram locations worldwide-track global tourism destinations and international properties
Example use case:
A resort chain wants to monitor guest social media activity across 5 Caribbean properties. They extract 1,000 posts from their resort locations ($0.625 total), identify 15 travel influencers who stayed at their properties, discover that infinity pools generate 3x more engagement than beach photos, and find 50 high-quality guest photos to request for marketing use.
Search queries this answers:
- "Monitor hotel guest Instagram posts by location"
- "Track tourism trends at landmarks and attractions"
- "Find travel influencers visiting specific destinations"
- "Analyze resort social media mentions by location"
- "Extract user-generated content from tourist locations"
π Real Estate Market Intelligence & Property Marketing
Analyze Neighborhood Desirability & Lifestyle Appeal for Real Estate Investment
What you can do:
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Assess neighborhood desirability by analyzing Instagram activity density, post frequency, and engagement levels across different areas-identify up-and-coming neighborhoods before they peak
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Understand local lifestyle and demographics by analyzing post content, hashtags, and user profiles from neighborhood locations-match properties to target buyer personas
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Track neighborhood development and gentrification by monitoring new restaurants, cafes, and businesses opening via geo-tagged posts-predict property value trends
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Identify amenities that drive social media engagement by extracting posts from parks, schools, shopping districts, and entertainment venues-highlight neighborhood selling points
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Monitor property reputation for listings by scraping posts tagged at specific building locations-address negative sentiment before listing properties
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Research competitor property marketing by analyzing posts from luxury buildings and developments-understand their positioning and target audience
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Create location-based property marketing content by extracting popular neighborhood hashtags, trending local businesses, and lifestyle imagery-craft compelling listing descriptions
Why this location intelligence tool works:
- GPS-based analysis: Exact coordinates enable radius searches, proximity analysis to amenities, and precise neighborhood boundary mapping
- Demographics insights: User profiles reveal age ranges, interests, and lifestyle patterns of people posting in neighborhoods
- Time-series analysis: Extract posts over multiple date ranges to track neighborhood transformation and seasonal patterns
- Comprehensive coverage: Scrape restaurants, parks, shops, gyms, schools, and all location types that indicate neighborhood vitality
Example use case:
A real estate investment firm wants to identify emerging neighborhoods in Austin, Texas for property investment. They extract 2,000 posts from 40 neighborhoods ($1.00 total), analyze Instagram activity growth year-over-year, identify 5 neighborhoods with rapidly increasing post frequency, discover new restaurant and cafe openings via geo-tags, and predict which areas will appreciate fastest.
Search queries this answers:
- "Analyze neighborhood desirability using Instagram data"
- "Track real estate market trends by location on Instagram"
- "Find up-and-coming neighborhoods via social media"
- "Extract Instagram posts from specific neighborhoods"
- "Research property location demographics on Instagram"
ποΈ Retail & E-commerce Location Strategy
Monitor Store Locations, Product Popularity & Regional Market Trends
What you can do:
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Analyze store performance by location by extracting posts from all your retail locations-identify top-performing stores, regional product preferences, and location-specific marketing opportunities
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Research new store location opportunities by scraping Instagram activity at potential sites-assess foot traffic, competitor presence, and target audience density
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Track product popularity by geographic region by analyzing which products customers photograph most in different cities-inform regional inventory and merchandising decisions
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Monitor competitor store activity by extracting posts from competing retail locations-track their store events, product launches, and customer engagement
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Identify local brand ambassadors by finding customers who frequently post at your store locations-build grassroots marketing programs and loyalty initiatives
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Analyze pop-up store and event success by scraping geo-tagged posts from temporary retail locations-measure event buzz, attendance patterns, and product interest
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Optimize store layout and displays by analyzing which areas of your store customers photograph most-use insights to improve in-store merchandising
Why this retail location API works:
- Multi-location tracking: Extract posts from hundreds of store locations in one run-compare performance across entire retail networks
- Product visibility insights: Analyze captions and hashtags to understand which products generate the most social media sharing
- Regional trend detection: Compare posting patterns, product preferences, and customer demographics across different cities and regions
- Event tracking: Use date filters to analyze specific store events, sales, or promotional periods
Example use case:
A fashion retailer wants to analyze customer Instagram activity across 50 store locations nationwide. They extract 5,000 posts ($1.75 total), discover that West Coast stores generate 2x more Instagram engagement than East Coast locations, identify which clothing items customers photograph most frequently by region, find 30 loyal customers who post at stores regularly, and discover that fitting room mirrors drive the most user-generated content.
Search queries this answers:
- "Track retail store performance by location on Instagram"
- "Find best locations for new retail stores using social data"
- "Analyze product popularity by geographic region Instagram"
- "Monitor competitor retail store social media activity"
- "Extract customer posts from store locations"
πͺ Event Planning & Venue Management
Track Event Venue Social Media Buzz, Engagement & Attendance Patterns
What you can do:
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Monitor real-time event buzz by scraping posts during events-track attendee sentiment, identify viral moments, and measure social media reach
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Analyze venue popularity and booking potential by extracting historical posts from event spaces-understand which venues generate the most social sharing and engagement
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Identify trending event locations for future bookings by comparing Instagram activity across multiple venues-find spaces that attendees love to photograph
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Track competitor event performance by scraping posts from competing venues and events-benchmark your social media presence and event quality
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Discover event influencers and media coverage by identifying users with high engagement posting at your events-build media lists and influencer partnerships
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Measure event ROI and success metrics by analyzing post volume, engagement rates, and attendee sentiment before/during/after events-prove event value to stakeholders
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Optimize event timing and scheduling by analyzing posting patterns from past events-understand peak attendance times and best days for events
Why this event tracking API works:
- Real-time monitoring: Extract posts as events happen-track live social media activity and respond to issues immediately
- Date range filtering: Use
untilparameter to analyze specific event dates or compare year-over-year event performance - Engagement metrics: Like counts and comment counts reveal which event moments generated the most excitement and sharing
- Attendee identification: User profiles from posts enable follow-up marketing, loyalty programs, and influencer outreach
Example use case:
A conference venue wants to analyze social media performance of tech conferences held at their space. They extract 3,000 posts from 10 events ($2.00 total), discover that networking sessions generate more Instagram posts than keynotes, identify 25 tech influencers who attended multiple events, find that Thursday events outperform Friday events by 40% in social engagement, and use insights to pitch future conference organizers.
Search queries this answers:
- "Track event social media buzz by venue location"
- "Analyze Instagram engagement at event venues"
- "Monitor conference attendance via geo-tagged posts"
- "Find influencers attending events at specific venues"
- "Measure event success using Instagram location data"
π§ Troubleshooting
-
Getting fewer results than expected? Check your
maxItemsvalue. Remember: first 60 posts per location are FREE! -
Unexpected costs? Each location query costs $0.025 (includes 50 posts). Additional posts cost $0.0005 each. Review your
locationIdsandstartUrlsto understand how many locations you're querying. -
No results? Verify that:
- You provided either
startUrlsORlocationIds(at least one is required) - Your
untildate filter isn't too restrictive - The location URL or ID is valid
- You provided either
-
Missing outputs? Open the Storage tab to explore/download full datasets. Not all fields appear in the preview.
-
Want to minimize costs? Use fewer locations or set a lower
maxItemsto control spending. Remember each location includes 60 free posts! -
Date filter not working? Ensure your
untildate is inYYYY-MM-DDformat (e.g.,2025-01-01).
π΄ Related Instagram Scrapers & Data Extraction Tools
Expand your data extraction capabilities with our complete suite of specialized scraper APIs. Each tool focuses on specific data types for comprehensive social media intelligence.
π¦ Complete Apidojo Instagram Scraper Ecosystem
| Tool | What It Extracts | Best For |
|---|---|---|
| π Instagram Profile Scraper | User profiles, followers, following lists, public emails | Influencer research, lead generation, audience analysis |
| πΈ Instagram Scraper | Posts, media, images, videos, captions | Content analysis, competitor monitoring, media collection |
| π¬ Instagram Comments Scraper | Comments, engagement data, user interactions | Sentiment analysis, engagement tracking, community insights |
| #οΈβ£ Instagram Hashtag Scraper | Hashtag posts, trending content, campaign tracking | Hashtag research, trend monitoring, campaign performance |
| π Instagram Location Scraper | Location-based posts, geo-tagged content, GPS coordinates | Local marketing, tourism analysis, real estate research (You are here) |
β Frequently Asked Questions
How much does it cost to scrape 1000 posts from Instagram locations?
Scraping 1000 posts from one location costs $0.495: $0.025 (location query) + $0.0005 Γ 940 posts. First 60 posts per location are FREE.
Does this Instagram location scraper require login credentials?
No. Works without Instagram account, cookies, or login. Provide location URLs and start immediately.
Is there a free Instagram location API option?
Yes. Apify's Free plan includes 10 items. Every location query includes 60 FREE posts on all plans.
How do I scrape Instagram location posts with Python?
Use the Apify API client. Call the actor endpoint with location URLs, receive JSON response. Full API docs available.
Can I bulk download Instagram location posts?
Yes. Bulk download Instagram location posts from multiple places in one run. Add URLs to startUrls array.
How do I export Instagram location data to CSV?
Export Instagram location data to CSV directly from Apify Console's Storage tab, or use the API with format=csv parameter.
How fast is the Instagram location data extractor?
Processes 100-200 posts per second. Extract thousands of geo-tagged posts in minutes.
Can I filter posts by date?
Yes. Use the until parameter in YYYY-MM-DD format to extract only posts created on or after a specific date.
What location data is included in the output?
Each post includes GPS coordinates (latitude/longitude), location name, city, plus post content, engagement metrics, and user profiles.
π Contact
If you need any sort of support, please send an email to apidojo10@gmail.com. You name it, we get it.
Ready to start extracting Instagram location data? With transparent event-based pricing, high-speed performance (100-200 posts/sec), GPS coordinate extraction, and generous free quotas, this Instagram location scraper is the perfect tool for local marketing, tourism analysis, and geo-targeted intelligence. Start extracting today! π