Threads 留言爬蟲
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from $4.00 / 1,000 results
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Threads 留言爬蟲
從 Threads 貼文擷取留言與評論，含作者資料、互動指標（按讚、留言、轉發、引用、分享、觀看）、媒體（網址、尺寸、無障礙說明）、引用/轉發識別、驗證徽章。批次處理多篇貼文，無需登入。適合幫助 Threads 海巡、輿情分析、對話研究、影響者分析。
Threads 留言爬蟲
Pricing
from $4.00 / 1,000 results
從 Threads 貼文擷取留言與評論，含作者資料、互動指標（按讚、留言、轉發、引用、分享、觀看）、媒體（網址、尺寸、無障礙說明）、引用/轉發識別、驗證徽章。批次處理多篇貼文，無需登入。適合幫助 Threads 海巡、輿情分析、對話研究、影響者分析。
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 ] }12
13# Run the Actor and wait for it to finish14run = client.actor("futurizerush/threads-replies-scraper-zh-tw").call(run_input=run_input)15
16# Fetch and print Actor results from the run's dataset (if there are any)17print("💾 Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"])18for item in client.dataset(run["defaultDatasetId"]).iterate_items():19 print(item)20
21# 📚 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: