---

📸 Instagram Post Downloader - Media (Image, Video) & Post Scraper 🎬📥

📥 Overview

Need to download high-quality images, videos, and metadata from any public Instagram post in seconds? Your search ends here!

This powerful Instagram Post Downloader & Scraper meticulously extracts every piece of media from single or multiple posts. It delivers direct download links, stores files securely in Apify's Key-Value Store, and provides an unparalleled depth of technical and contextual metadata—all in one clean JSON package.

🎯 Perfect for archivists, marketers, researchers, and developers who need reliable, structured data from Instagram.

🚀 Complete Media Grab: Downloads every image and video from single or carousel posts.
🔍 Deep Metadata Extraction: Get post captions, engagement data, OG tags, and even technical EXIF-like data for media.
🛠️ Advanced Toggles: Control storage and metadata detail with simple switches.
📊 Structured for Developers: Clean, predictable JSON output ready for integration into any application.

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🎥 Key Features

🌟 Multi-Media Support

✅ Download all images and videos from any public Instagram post.
✅ Handle single images, videos, and carousel posts with multiple items seamlessly.
✅ Provides direct URLs and Apify-stored links for reliable, long-term access.

🔍 Comprehensive Metadata

✅ Post Context: Caption, author, timestamp, likes, comments, and all Open Graph tags.
✅ Image Technical Data: Codec, dimensions, color profile, file size, and more (via FFprobe).
✅ Video Technical Data: Full stream analysis including codec, bitrate, duration, framerate, and audio channels (via FFprobe).

🛠️ Advanced Configuration

✅ Key-Value Store Toggle: Choose between direct links or secure, hosted Apify links.
✅ Additional Metadata Toggles: Granular control over extracting deep image and video metadata.
✅ Bulk Processing: Input multiple post URLs to scrape in a single, efficient run.

⚙️ Robust Architecture

✅ Built on the powerful Apify SDK for scalability and reliability.
✅ Pre-configured Dataset views for easy visualization of results.
✅ Handles Instagram's dynamic content loading with advanced web scraping techniques.

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⚙️ Input Configuration

Configure your scrape with a simple JSON object. Here’s the schema:

{
  "post_urls": [
    {
      "url": "https://www.instagram.com/p/DM-qZyuxRpf/?utm_source=ig_web_copy_link",
      "method": "GET"
    }
  ],
  "use_key_value_store": true,
  "additional_metadata": true,
  "additional_video_metadata": true
}

📋 Input Fields Table

Field	Emoji	Type	Description	Default
post_urls	📮	Array[Object]	Required. A list of objects containing Instagram post URLs.	-
url	🔗	String	The full URL of a public Instagram post.	-
use_key_value_store	🗂️	Boolean	If true, media is uploaded to Apify storage for persistent links. If false, direct (but potentially volatile) URLs are provided.	true
additional_metadata	🖼️	Boolean	If true, fetches detailed technical metadata (dimensions, codec, etc.) for each image.	true
additional_video_metadata	🎬	Boolean	If true, fetches detailed technical metadata (bitrate, duration, streams, etc.) for each video. Requires use_key_value_store to be true.	true

---

📤 Output Example: When [key_value_store, additional_metadata, additional_video_metadata] Turn ON

The actor returns a rich, structured array of objects for each processed post.

[
  {
    "original_url": "https://www.instagram.com/p/DM-qZyuxRpf/?utm_source=ig_web_copy_link",
    "caption": "NBA on Instagram: \"A Statue of Liberty slam from Victor Wembanyama through the lens of @natlyphoto 👽🗽\n\nIs this your pick for Photo of the Year? Use your NBA ID to vote for Wemby’s picture-perfect dunk, now on the NBA App!\"",
    "author_username": "natlyphoto",
    "feedback": "Congrats, media found.",
    "media": {
      "total_found": 2,
      "valid_urls": 2,
      "urls": [
        {
          "http_status": 200,
          "content_type": "image/jpeg",
          "is_valid": true,
          "image_download_link_1": "https://api.apify.com/v2/key-value-stores/Ffkeqbi6sJJbhv7hv/records/ig_4084368873353170362.jpg?token=apify_actor_run_api_x6rwgxfPWuU29HaE9WCuceaGJQG4z3084I9u"
        },
        {
          "http_status": 200,
          "content_type": "image/jpeg",
          "is_valid": true,
          "image_download_link_2": "https://api.apify.com/v2/key-value-stores/Ffkeqbi6sJJbhv7hv/records/ig_-4483034192571898270.jpg?token=apify_actor_run_api_x6rwgxfPWuU29HaE9WCuceaGJQG4z3084I9u"
        }
      ]
    },
    "image_metadata": [
      {
        "image_download_link_1": "https://api.apify.com/v2/key-value-stores/Ffkeqbi6sJJbhv7hv/records/ig_4084368873353170362.jpg?token=apify_actor_run_api_x6rwgxfPWuU29HaE9WCuceaGJQG4z3084I9u",
        "metadata_image_1": {
          "streams": [
            {
              "index": 0,
              "codec_name": "mjpeg",
              "codec_long_name": "Motion JPEG",
              "profile": "Progressive",
              "codec_type": "video",
              "codec_tag_string": "[0][0][0][0]",
              "codec_tag": "0x0000",
              "width": 1080,
              "height": 1350,
              "coded_width": 1080,
              "coded_height": 1350,
              "closed_captions": 0,
              "film_grain": 0,
              "has_b_frames": 0,
              "sample_aspect_ratio": "1:1",
              "display_aspect_ratio": "4:5",
              "pix_fmt": "yuvj420p",
              "level": -99,
              "color_range": "pc",
              "color_space": "bt470bg",
              "chroma_location": "center",
              "refs": 1,
              "r_frame_rate": "25/1",
              "avg_frame_rate": "25/1",
              "time_base": "1/25",
              "start_pts": 0,
              "start_time": "0.000000",
              "duration_ts": 1,
              "duration": "0.040000",
              "bits_per_raw_sample": "8",
              "disposition": {
                "default": 0,
                "dub": 0,
                "original": 0,
                "comment": 0,
                "lyrics": 0,
                "karaoke": 0,
                "forced": 0,
                "hearing_impaired": 0,
                "visual_impaired": 0,
                "clean_effects": 0,
                "attached_pic": 0,
                "timed_thumbnails": 0,
                "captions": 0,
                "descriptions": 0,
                "metadata": 0,
                "dependent": 0,
                "still_image": 0
              }
            }
          ],
          "format": {
            "filename": "/tmp/tmptvknics9.jpg",
            "nb_streams": 1,
            "nb_programs": 0,
            "format_name": "image2",
            "format_long_name": "image2 sequence",
            "start_time": "0.000000",
            "duration": "0.040000",
            "size": "269504",
            "bit_rate": "53900800",
            "probe_score": 50
          }
        }
      },
      {
        "image_download_link_2": "https://api.apify.com/v2/key-value-stores/Ffkeqbi6sJJbhv7hv/records/ig_-4483034192571898270.jpg?token=apify_actor_run_api_x6rwgxfPWuU29HaE9WCuceaGJQG4z3084I9u",
        "metadata_image_2": {
          "streams": [
            {
              "index": 0,
              "codec_name": "mjpeg",
              "codec_long_name": "Motion JPEG",
              "profile": "Progressive",
              "codec_type": "video",
              "codec_tag_string": "[0][0][0][0]",
              "codec_tag": "0x0000",
              "width": 720,
              "height": 900,
              "coded_width": 720,
              "coded_height": 900,
              "closed_captions": 0,
              "film_grain": 0,
              "has_b_frames": 0,
              "sample_aspect_ratio": "1:1",
              "display_aspect_ratio": "4:5",
              "pix_fmt": "yuvj420p",
              "level": -99,
              "color_range": "pc",
              "color_space": "bt470bg",
              "chroma_location": "center",
              "refs": 1,
              "r_frame_rate": "25/1",
              "avg_frame_rate": "25/1",
              "time_base": "1/25",
              "start_pts": 0,
              "start_time": "0.000000",
              "duration_ts": 1,
              "duration": "0.040000",
              "bits_per_raw_sample": "8",
              "disposition": {
                "default": 0,
                "dub": 0,
                "original": 0,
                "comment": 0,
                "lyrics": 0,
                "karaoke": 0,
                "forced": 0,
                "hearing_impaired": 0,
                "visual_impaired": 0,
                "clean_effects": 0,
                "attached_pic": 0,
                "timed_thumbnails": 0,
                "captions": 0,
                "descriptions": 0,
                "metadata": 0,
                "dependent": 0,
                "still_image": 0
              }
            }
          ],
          "format": {
            "filename": "/tmp/tmp89ppx3ld.jpg",
            "nb_streams": 1,
            "nb_programs": 0,
            "format_name": "image2",
            "format_long_name": "image2 sequence",
            "start_time": "0.000000",
            "duration": "0.040000",
            "size": "161228",
            "bit_rate": "32245600",
            "probe_score": 50
          }
        }
      }
    ],
    "Post_Metadata": {
      "caption": "NBA on Instagram: \"A Statue of Liberty slam from Victor Wembanyama through the lens of @natlyphoto 👽🗽\n\nIs this your pick for Photo of the Year? Use your NBA ID to vote for Wemby’s picture-perfect dunk, now on the NBA App!\"",
      "owner_user_id": "20824486",
      "image_url": "https://scontent-iad3-2.cdninstagram.com/v/t51.82787-15/528648978_......",
      "shortcode": "DM-qZyuxRpf",
      "hashtags": [],
      "author_username": "natlyphoto",
      "bingbot": "noarchive",
      "robots": "noarchive, noimageindex",
      "apple-mobile-web-app-status-bar-style": "default",
      "mobile-web-app-capable": "yes",
      "viewport": "width=device-width, initial-scale=1, minimum-scale=1, maximum-scale=2, viewport-fit=cover",
      "theme-color": "#ffffff",
      "og:type": "article",
      "medium": "image",
      "twitter:card": "summary_large_image",
      "twitter:site": "@instagram",
      "twitter:maxage": "86400",
      "twitter:image": "https://scontent-iad3-2.cdninstagram.com/v/t51.82787-15/528648978.....",
      "twitter:title": "NBA (@nba) • Instagram photos and videos",
      "al:ios:app_name": "Instagram",
      "al:ios:app_store_id": "389801252",
      "al:ios:url": "instagram://media?id=3692575234902530655",
      "al:android:app_name": "Instagram",
      "al:android:package": "com.instagram.android",
      "al:android:url": "https://www.instagram.com/p/DM-qZyuxRpf/",
      "fb:app_id": "124024574287414",
      "instapp:owner_user_id": "20824486",
      "description": "162K likes, 155 comments - nba on August 5, 2025: \"A Statue of Liberty slam from Victor Wembanyama through the lens of @natlyphoto 👽🗽\n\nIs this your pick for Photo of the Year? Use your NBA ID to vote for Wemby’s picture-perfect dunk, now on the NBA App!\". ",
      "og:site_name": "Instagram",
      "og:title": "NBA on Instagram: \"A Statue of Liberty slam from Victor Wembanyama through the lens of @natlyphoto 👽🗽\n\nIs this your pick for Photo of the Year? Use your NBA ID to vote for Wemby’s picture-perfect dunk, now on the NBA App!\"",
      "og:image": "https://scontent-iad3-2.cdninstagram.com/v/t51.82787-15/528648978_18574920988024487_1677596648401538578_n.jpg?stp=c216.0.648.648a_dst-jpg_e35_s640x640_tt6&_nc_cat=105&ccb=1-7&_nc_sid=18de74&_nc_ohc=IvJIBrxx_V0Q7kNvwFFq3b7&_nc_oc=AdlbMZEw6ml2FBDaht6GEmfLLtssaIJaQTwKfvzGV-CHzpG0r0ea-Gb7JQtMRMPU4YU&_nc_zt=23&_nc_ht=scontent-iad3-2.cdninstagram.com&_nc_gid=ghPJyxYGyZVD1R4rm28NUA&oh=00_AfWykzMt8I1H9DfFVxP5pc7oS62PgrXoRo8rySXic_z-nA&oe=68B76196",
      "og:url": "https://www.instagram.com/nba/p/DM-qZyuxRpf/",
      "og:description": "162K likes, 155 comments - nba on August 5, 2025: \"A Statue of Liberty slam from Victor Wembanyama through the lens of @natlyphoto 👽🗽\n\nIs this your pick for Photo of the Year? Use your NBA ID to vote for Wemby’s picture-perfect dunk, now on the NBA App!\". ",
      "application-title": "Instagram",
      "color-scheme": "light"
    },
    "videos": [
      {
        "url": "https://scontent-ord5-3.cdninstagram.com/o1/v/t16/f2/m84/AQM1K8jlvRf.......",
        "thumbnail_url": "https://api.apify.com/v2/key-value-stores/Ffkeqbi6sJJbhv7hv/records/thumb_f8e86791-df21-426b-85b8-de3ce2c016f3.jpg?token=apify_actor_run_api_x6rwgxfPWuU29HaE9WCuceaGJQG4z3084I9u",
        "video_url": "https://api.apify.com/v2/key-value-stores/Ffkeqbi6sJJbhv7hv/records/video_ca91e3f1-9c80-49f2-8745-a0287eb6763c.mp4?token=apify_actor_run_api_x6rwgxfPWuU29HaE9WCuceaGJQG4z3084I9u"
      }
    ],
    "video_metadata": {
      "video_1_metadata": {
        "video_url": "https://api.apify.com/v2/key-value-stores/Ffkeqbi6sJJbhv7hv/records/video_ca91e3f1-9c80-49f2-8745-a0287eb6763c.mp4?token=apify_actor_run_api_x6rwgxfPWuU29HaE9WCuceaGJQG4z3084I9u",
        "streams": [
          {
            "index": 0,
            "codec_name": "h264",
            "codec_long_name": "H.264 / AVC / MPEG-4 AVC / MPEG-4 part 10",
            "profile": "High",
            "codec_type": "video",
            "codec_tag_string": "avc1",
            "codec_tag": "0x31637661",
            "width": 720,
            "height": 900,
            "coded_width": 720,
            "coded_height": 900,
            "closed_captions": 0,
            "film_grain": 0,
            "has_b_frames": 2,
            "pix_fmt": "yuv420p",
            "level": 31,
            "color_range": "tv",
            "color_space": "bt709",
            "color_transfer": "bt709",
            "color_primaries": "bt709",
            "chroma_location": "left",
            "field_order": "progressive",
            "refs": 1,
            "is_avc": "true",
            "nal_length_size": "4",
            "id": "0x1",
            "r_frame_rate": "30/1",
            "avg_frame_rate": "30/1",
            "time_base": "1/15360",
            "start_pts": 0,
            "start_time": "0.000000",
            "duration_ts": 363008,
            "duration": "23.633333",
            "bit_rate": "2024308",
            "bits_per_raw_sample": "8",
            "nb_frames": "709",
            "extradata_size": 50,
            "disposition": {
              "default": 1,
              "dub": 0,
              "original": 0,
              "comment": 0,
              "lyrics": 0,
              "karaoke": 0,
              "forced": 0,
              "hearing_impaired": 0,
              "visual_impaired": 0,
              "clean_effects": 0,
              "attached_pic": 0,
              "timed_thumbnails": 0,
              "captions": 0,
              "descriptions": 0,
              "metadata": 0,
              "dependent": 0,
              "still_image": 0
            },
            "tags": {
              "language": "und",
              "handler_name": "VideoHandler",
              "vendor_id": "[0][0][0][0]",
              "encoder": "AVC Coding"
            }
          },
          {
            "index": 1,
            "codec_name": "aac",
            "codec_long_name": "AAC (Advanced Audio Coding)",
            "profile": "HE-AAC",
            "codec_type": "audio",
            "codec_tag_string": "mp4a",
            "codec_tag": "0x6134706d",
            "sample_fmt": "fltp",
            "sample_rate": "44100",
            "channels": 2,
            "channel_layout": "stereo",
            "bits_per_sample": 0,
            "id": "0x2",
            "r_frame_rate": "0/0",
            "avg_frame_rate": "0/0",
            "time_base": "1/44100",
            "start_pts": 0,
            "start_time": "0.000000",
            "duration_ts": 1045378,
            "duration": "23.704717",
            "bit_rate": "57558",
            "nb_frames": "511",
            "extradata_size": 4,
            "disposition": {
              "default": 1,
              "dub": 0,
              "original": 0,
              "comment": 0,
              "lyrics": 0,
              "karaoke": 0,
              "forced": 0,
              "hearing_impaired": 0,
              "visual_impaired": 0,
              "clean_effects": 0,
              "attached_pic": 0,
              "timed_thumbnails": 0,
              "captions": 0,
              "descriptions": 0,
              "metadata": 0,
              "dependent": 0,
              "still_image": 0
            },
            "tags": {
              "language": "und",
              "handler_name": "SoundHandler",
              "vendor_id": "[0][0][0][0]"
            }
          }
        ],
        "format": {
          "filename": "temp_36427a65-0948-4152-9a4b-e51f19c6c324.mp4",
          "nb_streams": 2,
          "nb_programs": 0,
          "format_name": "mov,mp4,m4a,3gp,3g2,mj2",
          "format_long_name": "QuickTime / MOV",
          "start_time": "0.000000",
          "duration": "23.705000",
          "size": "6171340",
          "bit_rate": "2082713",
          "probe_score": 100,
          "tags": {
            "major_brand": "isom",
            "minor_version": "512",
            "compatible_brands": "isomiso2avc1mp41"
          }
        }
      }
    }
  }
]

🧾 Output Fields Summary

• original_url (🔗): The input URL that was scraped.
• caption (📝): The full text caption of the post.
• author_username (👤): The Instagram handle of the post's author.
• feedback (✅): A success/status message.
• media (🖼️): An object containing all discovered images, their status, and download links.
• image_metadata (🔬): If enabled. An array of detailed technical metadata for each image.
• Post_Metadata (📄): A rich object containing dozens of metadata fields scraped from the post's HTML (Open Graph tags, viewport, description, etc.).
• videos (🎥): An array of objects containing direct and Apify-stored links for videos and their thumbnails.
• video_metadata (🎬): If enabled. A rich object containing full FFprobe data for the video and audio streams.

---

📊 Pre-Configured Dataset Views

This actor comes with optimized dataset views for easy analysis:

View Name	Emoji	Purpose	Key Fields Shown
OVERVIEW	📦	Get a quick summary of all scraped posts and their media.	original_url, author_username, media, videos, feedback
IMAGEMETADATA	🕵️‍♂️	Dive deep into the technical details of every downloaded image.	original_url, author_username, image_metadata, feedback
VIDEOMETADATA	🎬	Analyze the technical specifications of all downloaded videos.	original_url, author_username, video_metadata, feedback
POSTMETADATA	📬	Explore the contextual and engagement metadata for each post.	original_url, author_username, Post_Metadata

---

🎯 Use Cases

👨‍💻 Digital Archivists & Researchers: Preserve social media history with full context and high-fidelity media.
📈 Social Media Marketers: Analyze competitors' post performance and content strategy at scale.
🤖 Developers & Data Scientists: Fuel apps, models, and dashboards with structured Instagram data via a clean API.
🎨 Content Creators: Responsibly gather inspiration and repurpose public content (within platform guidelines).
📊 Brand Monitoring Teams: Track mentions and content related to your brand from public posts.

---

🔒 Privacy & Ethics

🔐 Public Data Only: This actor is designed to only scrape data from public Instagram profiles and posts. It cannot access private content.
📜 Compliance: Users are responsible for complying with Instagram's Terms of Service and applicable data privacy laws (like GDPR and CCPA) when using this tool.
🚫 No Login Required: The tool does not require Instagram credentials, operating purely on publicly available information.

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🔗 Related Actors (Recommended Tools)

Explore our full suite of scraping tools for all your data needs:

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• Instagram Reels Downloader
• ⚡ Instagram Video Scraper - Lite 🔬
• Instagram Image Post Scraper & Image Post Downloader📥
• ✨ Instagram Post, Image Scraper & Image Post Downloader
• Instagram Image Post Downloader 📸

🎥 YouTube Scrapers:

• YouTube Video Downloader - Download videos, shorts, and audio.
• YouTube Video Transcript Scraper - Extract video subtitles and transcripts.

🎵 Spotify Scrapers:

• Spotify Playlists Scraper - Scrape playlist data and tracklists.
• Spotify Artist Scraper - Get artist metadata, albums, and top tracks.

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📧 Need Customization?

Require higher volume scraping, specific data points, or integration help?

✉️ Email scrapearchitect@gmail.com for tailored solutions and expert consultation!

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🚀 Try It Now!

Launch the Instagram Post Downloader - Media & Post Scraper and get clean, structured data from any public post in minutes!

⚠️ Pro Tip: If you don't get the desired results on the first run, rerun the actor after ~1 minute for 99% accurate results! 💯🔥

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