Threads 留言爬蟲
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from $2.50 / 1,000 results
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Threads 留言爬蟲
從公開 Threads 貼文擷取留言與評論，包含作者資料、公開可取得的互動指標、媒體資訊、引用/轉發訊號與驗證狀態。原貼文列會在公開可取得時包含觀看次數。支援批次處理多篇貼文，無需登入。
Threads 留言爬蟲
Pricing
from $2.50 / 1,000 results
從公開 Threads 貼文擷取留言與評論，包含作者資料、公開可取得的互動指標、媒體資訊、引用/轉發訊號與驗證狀態。原貼文列會在公開可取得時包含觀看次數。支援批次處理多篇貼文，無需登入。
You can access the Threads 留言爬蟲 programmatically from your own applications by using the Apify API. You can also choose the language preference from below. To use the Apify API, you’ll need an Apify account and your API token, found in Integrations settings in Apify Console.
1from apify_client import ApifyClient2
3# Initialize the ApifyClient with your Apify API token4# Replace '<YOUR_API_TOKEN>' with your token.5client = ApifyClient("<YOUR_API_TOKEN>")6
7# Prepare the Actor input8run_input = { "post_urls": [9 { "url": "https://www.threads.com/@zuck/post/DTa3-B1EbTp" },10 { "url": "https://www.threads.com/@zuck/post/DSVRshjkbtK" },11 { "url": "https://www.threads.com/@mosseri/post/DZ5UXU0G-DX" },12 ] }13
14# Run the Actor and wait for it to finish15run = client.actor("futurizerush/threads-replies-scraper-zh-tw").call(run_input=run_input)16
17# Fetch and print Actor results from the run's dataset (if there are any)18print("💾 Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"])19for item in client.dataset(run["defaultDatasetId"]).iterate_items():20 print(item)21
22# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-startThe Apify API client for Python is the official library that allows you to use Threads 留言爬蟲 API in Python, providing convenience functions and automatic retries on errors.
Install the apify-client
$pip install apify-clientOther API clients include: