# Scrape the replies to a Threads post, with nested conversations

**Use case:** 

One Threads post (Spotify's "Show us your Listening Stats receipts") as a row with its exact counts and views, then up to 200 replies in Top order with the conversations under them: each reply with its author, time, likes, level, parent and the root post, and its text, pictures or GIF caption as posted. The post row says how many replies Threads served. Put your own post link in posts.

## Input

```json
{
  "profiles": [
    "zuck",
    "https://www.threads.com/@threads"
  ],
  "posts": [
    "https://www.threads.com/@spotify/post/DeP8yNaGPd5"
  ],
  "keywords": [
    "superintelligence"
  ],
  "maxPostsPerProfile": 25,
  "profileTabs": [],
  "postedAfter": "",
  "includeProfileRow": true,
  "maxRepliesPerPost": 200,
  "repliesOrder": "top",
  "includeNestedReplies": true,
  "searchSurfaces": [],
  "searchPasses": 1,
  "maxPostsPerKeyword": 0,
  "keywordMatchOnly": false,
  "includeViews": false,
  "includeAuthorProfiles": false,
  "includeRaw": false,
  "minLikes": 0,
  "verifiedOnly": false,
  "onlyNew": false,
  "stateStoreName": "",
  "maxItems": 0,
  "runTag": ""
}
```

## Output

```json
{
  "row_type": {
    "label": "Row type",
    "format": "string"
  },
  "input": {
    "label": "Input",
    "format": "string"
  },
  "input_index": {
    "label": "Input #",
    "format": "integer"
  },
  "inputs_merged": {
    "label": "Inputs merged",
    "format": "array"
  },
  "source_kind": {
    "label": "Source",
    "format": "string"
  },
  "status": {
    "label": "Status",
    "format": "string"
  },
  "status_detail": {
    "label": "Status detail",
    "format": "string"
  },
  "scraped_at": {
    "label": "Scraped at",
    "format": "string"
  },
  "post_code": {
    "label": "Post code",
    "format": "string"
  },
  "post_id": {
    "label": "Post id",
    "format": "string"
  },
  "post_url": {
    "label": "Post URL",
    "format": "string"
  },
  "created_at": {
    "label": "Published",
    "format": "string"
  },
  "created_at_timestamp": {
    "label": "Published (timestamp)",
    "format": "integer"
  },
  "text": {
    "label": "Text",
    "format": "string"
  },
  "text_length": {
    "label": "Text length",
    "format": "integer"
  },
  "media_type": {
    "label": "Media type",
    "format": "string"
  },
  "media": {
    "label": "Media",
    "format": "array"
  },
  "image_urls": {
    "label": "Image URLs",
    "format": "array"
  },
  "video_urls": {
    "label": "Video URLs",
    "format": "array"
  },
  "media_count": {
    "label": "Media count",
    "format": "integer"
  },
  "gif_url": {
    "label": "GIF URL",
    "format": "string"
  },
  "has_audio": {
    "label": "Has audio",
    "format": "boolean"
  },
  "accessibility_caption": {
    "label": "Alt text",
    "format": "string"
  },
  "links": {
    "label": "Links",
    "format": "array"
  },
  "mentions": {
    "label": "Mentions",
    "format": "array"
  },
  "stickers": {
    "label": "Stickers",
    "format": "array"
  },
  "topic_tag": {
    "label": "Topic tag",
    "format": "string"
  },
  "link_preview": {
    "label": "Link preview",
    "format": "object"
  },
  "like_count": {
    "label": "Likes",
    "format": "integer"
  },
  "reply_count": {
    "label": "Replies",
    "format": "integer"
  },
  "repost_count": {
    "label": "Reposts",
    "format": "integer"
  },
  "quote_count": {
    "label": "Quotes",
    "format": "integer"
  },
  "share_count": {
    "label": "Shares",
    "format": "integer"
  },
  "view_count": {
    "label": "Views",
    "format": "integer"
  },
  "views_source": {
    "label": "Views source",
    "format": "string"
  },
  "engagement_rate": {
    "label": "Engagement rate",
    "format": "number"
  },
  "is_reply": {
    "label": "Reply",
    "format": "boolean"
  },
  "reply_to_username": {
    "label": "Reply to",
    "format": "string"
  },
  "reply_to_user_id": {
    "label": "Reply to (id)",
    "format": "string"
  },
  "parent_post_code": {
    "label": "Parent post",
    "format": "string"
  },
  "root_post_code": {
    "label": "Root post",
    "format": "string"
  },
  "reply_level": {
    "label": "Reply level",
    "format": "integer"
  },
  "is_quote": {
    "label": "Quote",
    "format": "boolean"
  },
  "quoted_post": {
    "label": "Quoted post",
    "format": "object"
  },
  "is_repost": {
    "label": "Repost",
    "format": "boolean"
  },
  "reposted_post": {
    "label": "Reposted post",
    "format": "object"
  },
  "thread_id": {
    "label": "Thread id",
    "format": "string"
  },
  "thread_position": {
    "label": "Thread position",
    "format": "integer"
  },
  "self_thread_count": {
    "label": "Self-thread posts",
    "format": "integer"
  },
  "is_pinned": {
    "label": "Pinned",
    "format": "boolean"
  },
  "is_edited": {
    "label": "Edited",
    "format": "boolean"
  },
  "is_paid_partnership": {
    "label": "Paid partnership",
    "format": "boolean"
  },
  "is_spoiler": {
    "label": "Spoiler",
    "format": "boolean"
  },
  "reply_control": {
    "label": "Reply control",
    "format": "string"
  },
  "ai_label": {
    "label": "AI label",
    "format": "string"
  },
  "author_username": {
    "label": "Author",
    "format": "string"
  },
  "author_id": {
    "label": "Author id",
    "format": "string"
  },
  "author_name": {
    "label": "Author name",
    "format": "string"
  },
  "author_verified": {
    "label": "Author verified",
    "format": "boolean"
  },
  "author_profile_pic_url": {
    "label": "Author picture",
    "format": "string"
  },
  "author_is_private": {
    "label": "Author private",
    "format": "boolean"
  },
  "author_followers": {
    "label": "Author followers",
    "format": "integer"
  },
  "query": {
    "label": "Query",
    "format": "string"
  },
  "search_surface": {
    "label": "Search surface",
    "format": "string"
  },
  "search_tag": {
    "label": "Search tag",
    "format": "string"
  },
  "keyword_match": {
    "label": "Keyword match",
    "format": "boolean"
  },
  "list_note": {
    "label": "List note",
    "format": "string"
  },
  "replies_requested": {
    "label": "Replies requested",
    "format": "integer"
  },
  "replies_delivered": {
    "label": "Replies delivered",
    "format": "integer"
  },
  "replies_note": {
    "label": "Replies note",
    "format": "string"
  },
  "related_posts": {
    "label": "Related posts",
    "format": "array"
  },
  "previous_read_at": {
    "label": "Previous read",
    "format": "string"
  },
  "engagement_change": {
    "label": "Engagement change",
    "format": "object"
  },
  "raw": {
    "label": "Raw",
    "format": "object"
  },
  "run_tag": {
    "label": "Run tag",
    "format": "string"
  },
  "username": {
    "label": "Username",
    "format": "string"
  },
  "user_id": {
    "label": "User id",
    "format": "string"
  },
  "full_name": {
    "label": "Name",
    "format": "string"
  },
  "biography": {
    "label": "Bio",
    "format": "string"
  },
  "bio_links": {
    "label": "Bio links",
    "format": "array"
  },
  "is_verified": {
    "label": "Verified",
    "format": "boolean"
  },
  "is_private": {
    "label": "Private",
    "format": "boolean"
  },
  "profile_pic_url": {
    "label": "Picture",
    "format": "string"
  },
  "profile_pic_hd_url": {
    "label": "Picture (HD)",
    "format": "string"
  },
  "follower_count": {
    "label": "Followers",
    "format": "integer"
  },
  "threads_count": {
    "label": "Threads",
    "format": "integer"
  },
  "threads_count_shown": {
    "label": "Threads (shown)",
    "format": "string"
  },
  "profile_tags": {
    "label": "Profile tags",
    "format": "array"
  },
  "profile_url": {
    "label": "Profile URL",
    "format": "string"
  },
  "instagram_url": {
    "label": "Instagram",
    "format": "string"
  },
  "podcast_name": {
    "label": "Podcast",
    "format": "string"
  },
  "podcast_url": {
    "label": "Podcast URL",
    "format": "string"
  },
  "tab": {
    "label": "Tabs",
    "format": "string"
  },
  "posts_requested": {
    "label": "Posts requested",
    "format": "integer"
  },
  "posts_delivered": {
    "label": "Posts delivered",
    "format": "integer"
  },
  "posts_note": {
    "label": "Posts note",
    "format": "string"
  },
  "last_post_at": {
    "label": "Last post",
    "format": "string"
  },
  "recent_posts_read": {
    "label": "Recent posts read",
    "format": "integer"
  },
  "recent_avg_likes": {
    "label": "Avg likes (recent)",
    "format": "number"
  },
  "recent_avg_replies": {
    "label": "Avg replies (recent)",
    "format": "number"
  },
  "followers_previous": {
    "label": "Followers (previous)",
    "format": "integer"
  },
  "followers_change": {
    "label": "Followers change",
    "format": "integer"
  }
}
```

## How it works

### 1. Sign up on Apify or log in

The Threads Scraper: Posts, Threads Replies, Profile Scraper, API Actor is ready to run with the inputs already set for "Scrape the replies to a Threads post, with nested conversations". [Sign up or log in](https://console.apify.com/create-task-from-example/hAGLLGDWW00RGs94d) and you'll land in Apify Console with a copy of this exact task.

### 2. Start the "Scrape the replies to a Threads post, with nested conversations" task

The Threads Scraper: Posts, Threads Replies, Profile Scraper, API Actor will start running based on the input automatically. You can also change all the input fields, like profiles: usernames or links, posts: links or codes, and more, to match your specific use case.

### 3. Receive the "Scrape the replies to a Threads post, with nested conversations" output

Monitor the progress in real time. You will be notified as soon as your dataset is complete and ready for review. Each result includes data such as row type, input, input #, and more.

### 4. Integrate into your workflow

The final output is delivered in JSON, CSV, or Excel format, ready to be plugged into your workflow. You can also [run the "Scrape the replies to a Threads post, with nested conversations" task via API](https://apify.com/hyperbach/threads-scraper.md).

## About this Actor

This example demonstrates how to use [Threads Scraper: Posts, Threads Replies, Profile Scraper, API](https://apify.com/hyperbach/threads-scraper.md) with a specific input configuration. Visit the [Actor detail page](https://apify.com/hyperbach/threads-scraper.md) to learn more, explore other use cases, and run it yourself.


## How to integrate an Actor?

This Task's input is already configured above. Use it as-is rather than inventing a new one.

Do not guess an integration path. Every one of them is in the agent quickstart at https://apify.com/agents.md: the Apify MCP server, Agent Skills with the Apify CLI, the JavaScript and Python clients, the REST API, and the account-free path for an agent with no human to sign in. It also carries the rule on stating cost before the first paid run.

For full API examples (JavaScript, Python, CLI, MCP, OpenAPI), see this Task's Actor page: https://apify.com/hyperbach/threads-scraper.md

Each client library has reference documentation the quickstart does not restate: [JavaScript/TypeScript](https://docs.apify.com/api/client/js/docs.md) (`npm install apify-client`) and [Python](https://docs.apify.com/api/client/python/docs.md) (`pip install apify-client`).