apify-threads-replies（apify 线程回复）

Threads Replies Scraper with Apify

Extract replies and comments from public Threads posts. Each post typically yields ~20 replies. No login required.

Actor: futurizerush/threads-replies-scraper

Prerequisites

Set APIFY_API_TOKEN in environment. Get a token at console.apify.com/account/integrations.

Execution Flow

Apify runs are asynchronous. Every request follows 3 steps:

1. Start a run -- POST to the actor API, receive a run ID and dataset ID
2. Poll until done -- GET the run status, wait for SUCCEEDED
3. Fetch results -- GET the dataset items (returns a JSON array)

Typical run time: 10-30 seconds per post.

Input Parameters

Important: post_urls uses requestListSources format. Each item must be an object with a url key, not a plain string.

Complete Example (Python)

import requests, os, time

TOKEN = os.environ["APIFY_API_TOKEN"]
BASE = "https://api.apify.com/v2"

# Step 1: Start the run
response = requests.post(
    f"{BASE}/acts/futurizerush~threads-replies-scraper/runs?token={TOKEN}",
    json={
        "post_urls": [
            {"url": "https://www.threads.com/@zuck/post/DIffiWcJnob"}
        ],
        "max_replies": 20,
    },
)
response.raise_for_status()
run = response.json()["data"]
run_id = run["id"]
dataset_id = run["defaultDatasetId"]

# Step 2: Poll until done
while True:
    status = requests.get(
        f"{BASE}/actor-runs/{run_id}?token={TOKEN}"
    ).json()["data"]["status"]
    if status == "SUCCEEDED":
        break
    if status in ("FAILED", "ABORTED", "TIMED-OUT"):
        raise RuntimeError(f"Run failed: {status}")
    time.sleep(5)

# Step 3: Fetch results (JSON array)
items = requests.get(
    f"{BASE}/datasets/{dataset_id}/items?token={TOKEN}"
).json()

# Separate original post from replies
for item in items:
    if item["item_type"] == "original_post":
        print(f"Original post by @{item['author_username']}: {item['text_content'][:80]}")
        print(f"  likes={item['like_count']} replies={item['reply_count']} views={item['view_count']}")
    else:
        print(f"  Reply by @{item['author_username']}: {item['text_content'][:80]}")
        print(f"    likes={item['like_count']}")

Multiple posts

requests.post(
    f"{BASE}/acts/futurizerush~threads-replies-scraper/runs?token={TOKEN}",
    json={
        "post_urls": [
            {"url": "https://www.threads.com/@zuck/post/DIffiWcJnob"},
            {"url": "https://www.threads.com/@mosseri/post/EXAMPLE123"},
        ],
        "max_replies": 50,
    },
)

Complete Example (bash)

# Step 1: Start the run
RUN_RESPONSE=$(curl -s -X POST \
  "https://api.apify.com/v2/acts/futurizerush~threads-replies-scraper/runs?token=$APIFY_API_TOKEN" \
  -H "Content-Type: application/json" \
  -d '{"post_urls": [{"url": "https://www.threads.com/@zuck/post/DIffiWcJnob"}], "max_replies": 20}')

RUN_ID=$(echo "$RUN_RESPONSE" | jq -r '.data.id')
DATASET_ID=$(echo "$RUN_RESPONSE" | jq -r '.data.defaultDatasetId')

# Step 2: Poll until done
while true; do
  STATUS=$(curl -s "https://api.apify.com/v2/actor-runs/$RUN_ID?token=$APIFY_API_TOKEN" \
    | jq -r '.data.status')
  [ "$STATUS" = "SUCCEEDED" ] && break
  [ "$STATUS" = "FAILED" ] || [ "$STATUS" = "ABORTED" ] && echo "Failed: $STATUS" && exit 1
  sleep 5
done

# Step 3: Fetch results
curl -s "https://api.apify.com/v2/datasets/$DATASET_ID/items?token=$APIFY_API_TOKEN" | jq '.'

Output Format

Results include two item types: original_post and reply.

Original post item (field names verified from real API output on 2026-04-11):

{
  "post_code": "DS3sTIYAFaj",
  "post_url": "https://www.threads.com/@futurizerush/post/DS3sTIYAFaj",
  "author_username": "futurizerush",
  "author_display_name": "Rush in the loop｜AI 自動化",
  "author_is_verified": false,
  "author_profile_pic_url": "https://scontent-iad3-2.cdninstagram.com/...",
  "author_profile_url": "https://www.threads.com/@futurizerush",
  "text_content": "Post text here...",
  "like_count": 529,
  "reply_count": 10,
  "repost_count": 24,
  "quote_count": 0,
  "view_count": 42507,
  "created_at": "2025-12-30T02:05:14.000Z",
  "scraped_at": "2026-04-11T06:07:37.970849Z",
  "item_type": "original_post",
  "source_post_url": "https://www.threads.com/@futurizerush/post/DS3sTIYAFaj"
}

Reply item (additional fields):

{
  "reply_id": "DS3sVeegK8h",
  "author_username": "futurizerush",
  "author_display_name": "Rush in the loop｜AI 自動化",
  "author_is_verified": false,
  "author_profile_pic_url": "https://scontent-iad3-2.cdninstagram.com/...",
  "author_profile_url": "https://www.threads.com/@futurizerush",
  "text_content": "Reply text here...",
  "created_at": "2025-12-30T02:05:35.000Z",
  "created_at_timestamp": 1767060335,
  "like_count": 14,
  "reply_count": 0,
  "repost_count": 1,
  "quote_count": 0,
  "is_liked_by_author": false,
  "reply_to_username": "futurizerush",
  "media_type": 1,
  "has_audio": false,
  "mentions": [],
  "hashtags": [],
  "reply_url": "https://www.threads.com/@futurizerush/post/DS3sVeegK8h",
  "scraped_at": "2026-04-11T06:07:40.030190Z",
  "item_type": "reply",
  "source_post_url": "https://www.threads.com/@futurizerush/post/DS3sTIYAFaj"
}

Note: All field names use snake_case. Distinguish between original_post and reply using the item_type field. Reply items have extra fields: reply_id, reply_to_username, is_liked_by_author, reply_url, has_audio, media_type, mentions, hashtags.

Error Handling

Tips

• Results include the original post as the first item (item_type: "original_post"), followed by replies (item_type: "reply").
• Use reply_to_username to identify who the reply is directed at.
• Use is_liked_by_author to find replies the post author engaged with.
• source_post_url links each reply back to its parent post (useful when scraping multiple posts).
• Threads typically provides ~20 replies per post.
• No login or session ID required.
• All field names use snake_case (e.g. text_content, like_count, reply_count).

Related Skills

• For scraping a user's timeline or searching posts by keyword, use the Threads Scraper actor (futurizerush/meta-threads-scraper).

Links

• Actor page
• Apify API docs