🧵 Threads Replies Scraper

Extract the original post plus all its replies — including nested sub-replies — from any public Threads post, as clean, structured JSON/CSV/Excel. Perfect for social listening, sentiment analysis, audience research, and building Threads datasets.

✨ Why Choose This Actor?

• 🧵 Full conversation capture — original post and its reply tree, not just top-level comments.
• 💬 Nested replies — optionally follow replies-to-replies inside the same thread.
• 🛡️ Self-healing proxy ladder — starts direct, auto-escalates to datacenter, then residential if Threads pushes back. No manual tuning.
• 💾 Live results — records stream into your dataset as they are scraped; a stopped run still keeps everything collected so far.
• 📊 Rich output — likes, replies, reposts, quotes, views, media URLs, mentions, hashtags, verification, and more.
• 🗂️ Tidy views — Overview, Original Posts, and Replies tables out of the box.

🔑 Key Features

Feature	Description
Bulk input	Scrape many post URLs in one run
Reply cap	Collect 10–50 replies per post
Nested sub-replies	Toggle replies-to-commenters on/off
Media	Image / video / carousel / GIF URLs
Entities	Mentions, hashtags, and links parsed out
Engagement	Likes, replies, reposts, quotes, shares, views
Proxy fallback	Direct → Datacenter → Residential (sticky)

📥 Input

Field	Type	Required	Description
post_urls	array	✅	One or more Threads post URLs (bulk supported).
sessionid	string	✅	A logged-in Threads/Instagram sessionid cookie. Threads returns no replies without it.
max_replies	integer	—	Replies per post, 10–50 (default 50).
include_nested_replies	boolean	—	Also collect replies-to-commenters (default false).
proxyConfiguration	object	—	Apify Proxy preferences. Starts direct, escalates automatically.

Example input

{
  "post_urls": [
    { "url": "https://www.threads.com/@zuck/post/DTa3-B1EbTp" }
  ],
  "sessionid": "PASTE_YOUR_SESSIONID_COOKIE_HERE",
  "max_replies": 50,
  "include_nested_replies": false,
  "proxyConfiguration": { "useApifyProxy": true }
}

🍪 How to get your sessionid

1. Log in to threads.com in your browser.
2. Open DevTools → Application (Chrome) / Storage (Firefox) → Cookies → https://www.threads.com.
3. Copy the value of the sessionid cookie and paste it into the input.

📤 Output

Each run produces two record types in the dataset.

Original post (item_type: "original_post"):

{
  "post_code": "DTa3-B1EbTp",
  "post_url": "https://www.threads.com/@zuck/post/DTa3-B1EbTp",
  "author_username": "zuck",
  "author_display_name": "Mark Zuckerberg",
  "author_is_verified": true,
  "text_content": "Today we're establishing a new top-level initiative…",
  "like_count": 2926,
  "reply_count": 995,
  "repost_count": 150,
  "quote_count": 40,
  "share_count": 241,
  "view_count": 505453,
  "has_media": false,
  "created_at": "2026-01-12T18:00:30.000Z",
  "item_type": "original_post"
}

Reply (item_type: "reply"):

{
  "reply_id": "DTa4RWwDy3-",
  "author_username": "jasondwalters",
  "author_display_name": "Jason Walters",
  "text_content": "Oh wow. How many elections can you interfere with now simultaneously?",
  "reply_to_username": "zuck",
  "like_count": 181,
  "created_at": "2026-01-12T18:03:08.000Z",
  "reply_url": "https://www.threads.com/@jasondwalters/post/DTa4RWwDy3-",
  "item_type": "reply"
}

🚀 How to Use (Apify Console)

1. Log in at console.apify.com → Actors.
2. Open Threads Replies Scraper.
3. Paste your post URLs and your sessionid cookie, set max_replies, choose proxy preferences.
4. Click Start.
5. Watch the live log as posts and replies stream in.
6. Open the Output / Storage tab to view the Overview, Original Posts, and Replies tables.
7. Export to JSON / CSV / Excel.

🤖 Use via API

curl -X POST "https://api.apify.com/v2/acts/<ACTOR_ID>/run-sync-get-dataset-items?token=$APIFY_TOKEN" \
  -H "Content-Type: application/json" \
  -d '{
    "post_urls": [{ "url": "https://www.threads.com/@zuck/post/DTa3-B1EbTp" }],
    "sessionid": "PASTE_YOUR_SESSIONID_COOKIE_HERE",
    "max_replies": 50
  }'

💡 Best Use Cases

• Social listening & brand monitoring on Threads
• Sentiment and community analysis on viral posts
• Researching how conversations and sub-threads evolve
• Building Threads reply datasets for ML / analytics

💳 Pricing

This Actor uses the pay-per-event model: you are billed per record collected (the original post and each reply). Lowering max_replies reduces cost. Platform compute and proxy usage follow standard Apify rules.

❓ FAQ

Why is a sessionid required? Threads only returns the reply tree to authenticated sessions. Without a valid sessionid the API responds with an execution error and no replies.

How many replies can I get? Up to 50 per post in one run, controlled by max_replies. Threads paginates the reply tree; the Actor follows it until the cap or the end is reached.

What if Threads blocks me? The Actor automatically escalates from direct connection to a datacenter proxy, then to a residential proxy, and sticks with the working tier for the rest of the run.

Do I get sub-replies? Only if you enable include_nested_replies. By default just first-level replies are collected.

⚖️ Notes & Compliance

• Data is collected only from publicly available Threads posts.
• You are responsible for complying with Threads' Terms of Service and applicable laws (GDPR, CCPA, etc.).
• Use your own account's sessionid and respect reasonable rate limits.

🛟 Support & Feedback

Found a bug or want a new field? Open an issue on the Actor's Issues tab in the Apify Console.