Meta Threads 爬蟲 - 貼文、個人檔案與海巡
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Meta Threads 爬蟲 - 貼文、個人檔案與海巡
從 Threads 擷取貼文與完整互動數據（按讚、留言、轉發、引用、分享、觀看），以及作者公開資料（追蹤者、驗證狀態、簡介）。依用戶、標籤或關鍵字搜尋，可加日期範圍。適用於 Threads 海巡、社群媒體監控、網紅開發和競品分析。無需登入。
Meta Threads 爬蟲 - 貼文、個人檔案與海巡
Pricing
from $4.00 / 1,000 results
從 Threads 擷取貼文與完整互動數據（按讚、留言、轉發、引用、分享、觀看），以及作者公開資料（追蹤者、驗證狀態、簡介）。依用戶、標籤或關鍵字搜尋，可加日期範圍。適用於 Threads 海巡、社群媒體監控、網紅開發和競品分析。無需登入。
You can access the Meta Threads 爬蟲 - 貼文、個人檔案與海巡 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 = {9 "mode": "user",10 "usernames": ["zuck"],11 "keywords": ["AI"],12 "search_filter": "top",13 "max_posts": 200,14}15
16# Run the Actor and wait for it to finish17run = client.actor("futurizerush/meta-threads-scraper-zh-tw").call(run_input=run_input)18
19# Fetch and print Actor results from the run's dataset (if there are any)20print("💾 Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"])21for item in client.dataset(run["defaultDatasetId"]).iterate_items():22 print(item)23
24# 📚 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 Meta Threads 爬蟲 - 貼文、個人檔案與海巡 API in Python, providing convenience functions and automatic retries on errors.
Install the apify-client
$pip install apify-clientOther API clients include: