Threads Profile & Post Scraper

Scrape Threads (threads.com) user profiles and posts — no API key or login required. Get clean, formatted JSON with only the important fields. Supports usernames and post URLs as input.

🤔 What can Threads Profile & Post Scraper do?

This Actor lets you extract public data from Threads profiles and posts in one place. Just provide usernames or post URLs and get structured results:

👤 Scrape any public Threads profile — bio, followers, verification status, profile tags, and more

📝 Extract post data — text, images, videos, carousels, engagement stats

📊 Get full statistics — likes, replies, reposts, quotes, reshares

🧵 Get thread chains — multi-post self-reply threads are grouped together

🔗 Get related posts — when scraping a single post, get algorithmically related posts

🎠 Get carousel media — all images and videos in carousel posts with direct URLs

📦 Download results in JSON, CSV, XML, or Excel from the Apify Dataset

🦾 Integrate via API, webhooks, SDKs (Python & Node.js), or connect with tools like Zapier, n8n, Make, and more

✅ What data can I scrape from Threads?

From profiles:

• 👤 Username, full name, biography
• 🖼️ Profile picture URL (highest resolution)
• 📊 Follower count
• ✅ Verification status, private account status
• 🏷️ Profile tags (e.g. "AI Threads", "UFC Threads", "MMA")
• 🔗 Bio links
• 📝 All recent posts (text, image, video, carousel)

From posts:

• 🆔 Post ID, shortcode, URL
• 📝 Text content
• 🎬 Media type (text, image, video, carousel)
• 📊 Engagement stats — likes, replies, reposts, quotes, reshares
• 🖼️ Image URLs, video URLs (direct CDN links)
• 🎠 Carousel items with individual media
• 👤 Author info
• 💬 Reply metadata (is_reply, reply_to_author)
• 🔗 Related/recommended posts

🔧 How to scrape data from Threads

1. Create a free Apify account.
2. Open Threads Profile & Post Scraper.
3. Add usernames and/or post URLs — use any combination.
4. Optionally set a proxy URL to avoid rate limiting.
5. Click Save & Start and wait for the data to be extracted.
6. Download your data in JSON, CSV, XML, Excel, or access it via API.

⬇️ Input

All fields are optional, but at least one must be provided. You can use them independently or together in a single run.

Field	Type	Description
usernames	string[]	Threads usernames or profile URLs (e.g. zuck, @zuck, or https://www.threads.com/@zuck)
postUrls	string[]	Threads post URLs (e.g. https://www.threads.com/@zuck/post/DQEmdfkkSNE)
proxy	string	Optional proxy URL (http:// or socks5:// format)

Example input

{
    "usernames": ["zuck"],
    "postUrls": [
        "https://www.threads.com/@zuck/post/DQEmdfkkSNE"
    ],
    "proxy": "http://user:pass@host:port"
}

⬆️ Output

Results are pushed to the Apify Dataset. Each item has a type field ("profile" or "post") so you can easily filter and process them. You can export data in JSON, CSV, XML, Excel, or access it programmatically via the Apify API.

• Profile results: 1 dataset item per username, containing the profile info and all scraped posts.
• Post results: 1 dataset item per post URL, containing the post and related/recommended posts.

👤 Profile data sample

{
    "type": "profile",
    "profile": {
        "id": "63055343223",
        "username": "zuck",
        "full_name": "Mark Zuckerberg",
        "biography": "Mostly superintelligence and MMA takes",
        "profile_pic_url": "https://instagram.f...n.fbcdn.net/v/t51.82787-19/..._n.jpg?...",
        "is_verified": true,
        "is_private": false,
        "follower_count": 5454312,
        "profile_tags": [
            {
                "name": "aithreads",
                "display_name": "AI Threads",
                "is_community": false
            },
            {
                "name": "ufcthreads",
                "display_name": "UFC Threads",
                "is_community": false
            }
        ]
    },
    "posts": [
        {
            "id": "3870872187813562164",
            "code": "DW4Gb79kQc0",
            "url": "https://www.threads.com/@zuck/post/DW4Gb79kQc0",
            "user": {
                "id": "63055343223",
                "username": "zuck",
                "full_name": "Mark Zuckerberg",
                "profile_pic_url": "https://instagram.f...n.fbcdn.net/...",
                "is_verified": true,
                "is_private": false
            },
            "text": "Today we're sharing our new model family, Muse, and releasing our first model, Spark. You can try them in Meta AI.",
            "media_type": "text",
            "created_at": "2026-04-08T15:59:05+00:00",
            "taken_at": 1775663945,
            "like_count": 2632,
            "reply_count": 481,
            "repost_count": 190,
            "quote_count": 55,
            "reshare_count": 338,
            "original_width": 612,
            "original_height": 612,
            "is_reply": false,
            "reply_control": "everyone",
            "self_thread_count": 0,
            "is_pinned": false,
            "caption_is_edited": false,
            "like_and_view_counts_disabled": false
        },
        {
            "id": "3849384441660167347",
            "code": "DVrwsE5EdSz",
            "url": "https://www.threads.com/@zuck/post/DVrwsE5EdSz",
            "user": {
                "id": "63055343223",
                "username": "zuck",
                "full_name": "Mark Zuckerberg",
                "profile_pic_url": "https://instagram.f...n.fbcdn.net/...",
                "is_verified": true,
                "is_private": false
            },
            "text": "Meanwhile at Meta HQ",
            "media_type": "image",
            "created_at": "2026-03-10T00:26:46+00:00",
            "taken_at": 1773102406,
            "like_count": 7137,
            "reply_count": 1057,
            "repost_count": 209,
            "quote_count": 53,
            "reshare_count": 509,
            "image_url": "https://instagram.f...n.fbcdn.net/v/t51.82787-15/..._n.webp?...",
            "original_width": 1200,
            "original_height": 1600,
            "alt_text": "May be a selfie of text that says \"BOA\"",
            "is_reply": false,
            "reply_control": "everyone",
            "self_thread_count": 0,
            "is_pinned": false,
            "caption_is_edited": false,
            "like_and_view_counts_disabled": false
        },
        {
            "thread_chain": [
                {
                    "id": "3808602590024938729",
                    "code": "DTa3-B1EbTp",
                    "url": "https://www.threads.com/@zuck/post/DTa3-B1EbTp",
                    "text": "Today we're establishing a new top-level initiative called Meta Compute...",
                    "media_type": "text",
                    "is_reply": false,
                    "like_count": 2835,
                    "...": "..."
                },
                {
                    "id": "3808602587877435385",
                    "code": "DTa39_1EWf5",
                    "url": "https://www.threads.com/@zuck/post/DTa39_1EWf5",
                    "text": "Santosh will continue to lead our technical architecture...",
                    "media_type": "text",
                    "is_reply": true,
                    "reply_to_author": {
                        "username": "zuck",
                        "id": "63055343223"
                    },
                    "like_count": 943,
                    "...": "..."
                }
            ]
        }
    ]
}

📝 Post data sample

{
    "type": "post",
    "post": {
        "id": "3748289942410830660",
        "code": "DQEmdfkkSNE",
        "url": "https://www.threads.com/@zuck/post/DQEmdfkkSNE",
        "user": {
            "id": "63055343223",
            "username": "zuck",
            "full_name": "Mark Zuckerberg",
            "profile_pic_url": "https://instagram.f...n.fbcdn.net/...",
            "is_verified": true,
            "is_private": false
        },
        "text": "Oakley Meta Vanguard glasses just landed. Available now -- let's go! \ud83d\udd25",
        "media_type": "carousel",
        "created_at": "2025-10-21T12:50:02+00:00",
        "taken_at": 1761051002,
        "like_count": 9149,
        "reply_count": 1328,
        "repost_count": 281,
        "quote_count": 56,
        "reshare_count": 401,
        "image_url": "https://instagram.f...n.fbcdn.net/v/t51.82787-15/..._n.webp?...",
        "original_width": 1365,
        "original_height": 2048,
        "alt_text": "No photo description available.",
        "carousel": [
            {
                "media_type": "image",
                "image_url": "https://instagram.f...n.fbcdn.net/..._n.webp?...",
                "original_width": 1365,
                "original_height": 2048,
                "alt_text": "No photo description available."
            },
            {
                "media_type": "image",
                "image_url": "https://instagram.f...n.fbcdn.net/..._n.webp?...",
                "original_width": 1561,
                "original_height": 1249,
                "alt_text": "No photo description available."
            },
            {
                "media_type": "video",
                "image_url": "https://instagram.f...n.fbcdn.net/..._n.jpg?...",
                "original_width": 1076,
                "original_height": 1348,
                "video_url": "https://instagram.f...n.fbcdn.net/o1/v/t16/f2/m69/...mp4?...",
                "has_audio": true
            }
        ],
        "is_reply": false,
        "reply_control": "everyone",
        "self_thread_count": 0,
        "is_pinned": false,
        "caption_is_edited": false,
        "like_and_view_counts_disabled": false
    },
    "related_posts": [
        {
            "id": "3865049044132824548",
            "code": "DWjaaCzAAXk",
            "url": "https://www.threads.com/@oakleymeta/post/DWjaaCzAAXk",
            "user": {
                "username": "oakleymeta",
                "full_name": "Oakley | Meta",
                "is_verified": true
            },
            "text": "JUST ANNOUNCED: New Oakley Meta HSTN and Vanguard colorways and lenses...",
            "media_type": "carousel",
            "like_count": 101,
            "reply_count": 10,
            "...": "..."
        },
        {
            "id": "3860522526116939146",
            "code": "DWTVMiYmAWK",
            "url": "https://www.threads.com/@thetriworld/post/DWTVMiYmAWK",
            "user": {
                "username": "thetriworld",
                "full_name": "TriWorld Sports",
                "is_verified": false
            },
            "text": "Oakley Neoforma - Matte Carbon with Prizm 24K Polarized Lens...",
            "media_type": "video",
            "like_count": 0,
            "...": "..."
        }
    ]
}

📋 Output fields explained

Profile fields:

Field	Description
profile.username	Threads username
profile.full_name	Display name
profile.biography	Bio text
profile.profile_pic_url	Highest resolution profile picture URL
profile.is_verified	Whether the account has a verification badge
profile.is_private	Whether the account is private
profile.follower_count	Number of followers
profile.profile_tags	Tags shown on the profile (e.g. "AI Threads", "MMA")
posts	Array of posts — single posts are flat objects, self-reply threads are { "thread_chain": [...] }

Post fields:

Field	Description
id	Internal post ID
code	Post shortcode (used in URL)
url	Direct link to the post
user	Author info (username, full_name, profile_pic_url, is_verified, is_private)
text	Post text content
media_type	One of: text, image, video, carousel
created_at	ISO 8601 timestamp
taken_at	Unix timestamp
like_count	Number of likes
reply_count	Number of replies
repost_count	Number of reposts
quote_count	Number of quote posts
reshare_count	Number of reshares
image_url	Direct image CDN URL (for image/carousel posts)
video_url	Direct video CDN URL (for video posts)
carousel	Array of carousel items, each with media_type, image_url, video_url
is_reply	Whether this post is a reply
reply_to_author	Author of the post being replied to (if is_reply is true)

🔗 Integrations

You can connect Threads Profile & Post Scraper with almost any cloud service or web app through Apify integrations. Connect with Zapier, n8n, Make, Slack, Google Sheets, Google Drive, Airbyte, GitHub, and many more.

You can also use webhooks to trigger actions whenever a run finishes — for example, getting a notification or automatically processing the scraped data.

🦾 Using the Apify API

The Apify API gives you programmatic access to Threads Profile & Post Scraper. You can start runs, fetch datasets, monitor execution, and integrate the scraper into your own workflows.

• Python: Use the apify-client PyPI package
• Node.js: Use the apify-client NPM package

❓ FAQ

Can I scrape multiple profiles and posts in one run?

Yes. Both input fields (usernames, postUrls) accept arrays. You can provide multiple items in each field, and even use both fields together in a single run. Each result will have a type field so you can tell them apart.

What are thread chains?

When a user replies to their own post (a self-reply thread), the scraper groups these posts together as a thread_chain array within the posts output. Single posts that aren't part of a thread are returned as flat objects.

What format is the created_at timestamp?

created_at is an ISO 8601 formatted string (e.g. "2026-04-08T15:59:05+00:00"). The taken_at field contains the same timestamp as a Unix timestamp (seconds since epoch).

What media types are supported?

The scraper detects four media types based on actual post content:

• text — text-only posts (no media)
• image — posts with a single image
• video — posts with a video
• carousel — posts with multiple images/videos

Does the scraper work with private accounts?

No. The scraper can only extract data from public Threads accounts. Private profiles will not return profile data, and posts from private accounts are not accessible.

Can I use a proxy?

Yes. The optional proxy input field accepts HTTP and SOCKS5 proxy URLs. This is useful to avoid rate limiting or IP blocks when scraping at higher volumes.

What username formats are accepted?

All of the following formats work:

• zuck
• @zuck
• https://www.threads.com/@zuck

Is it legal to scrape Threads?

This scraper only extracts publicly available data. It does not access private accounts, login credentials, or any data behind authentication. However, scraped results could contain personal data protected by GDPR and other regulations. Ensure you have a legitimate reason for scraping and consult legal counsel if unsure. See also Apify's blog post on the legality of web scraping.