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Meta Threads 爬蟲 - 用戶貼文和標籤搜尋 — Threads | Lagic

Built For

Extract posts, engagement metrics, and user data from Threads by username, hashtag, or keyword.

Curated by Lagic·Verified working

Configure Agent

選擇要擷取的內容：用戶貼文、標籤結果或關鍵字搜尋結果

輸入 Threads 用戶名稱（不含 @，例如 zuck）。可同時輸入多位用戶批次擷取。

輸入關鍵字或標籤（可含或不含 #）。適用於標籤模式與關鍵字搜尋模式。

設定關鍵字搜尋排序方式。Top 偏向高互動的熱門內容；Recent 優先顯示最新貼文。僅適用於「關鍵字搜尋」。

僅適用於「關鍵字搜尋」。只保留此日期（含）之後的貼文。可用 YYYY-MM-DD 或相對時間（例如 7 days、1 month）。

僅適用於「關鍵字搜尋」。只保留此日期（含）之前的貼文。可用 YYYY-MM-DD 或相對時間。

每個用戶或每個關鍵字最多擷取的貼文數量。建議可先用 @zuck 搭配 200 測試。

Results to deliver

400 credits

This agent actively searches live listings — results may vary. You are only charged for what is delivered, up to this number.

Lagic Proxy

Country auto-rotated. Need a specific region? Contact support.

Pricing

4 credits per result
✓ 30 free credits on signup✓ Refund if 0 results✓ No card required

Sample Data Preview

Full text content of each postPost URL and creation timestampEngagement counts (Likes, Replies, Reposts, Quotes, Views)Direct URLs to any images or videos in the postUser profile data (Username, Display Name, Bio, Follower Count, Verified Status)Detected hashtags and @mentions within the post text
Value...https://...480https://...Sample Text...Value...
Value...https://...192https://...Sample Text...Value...
..................
Exports as:CSVXLSXJSON

Overview

Scrape public data from Meta's Threads, including post text, engagement counts, and user profile information. Ideal for brand monitoring, competitor analysis, and content strategy.

This tool provides structured data from Meta's Threads, a platform for fast-moving public conversations. It operates in three distinct modes to cover various data collection needs: by user profile, by specific hashtags, or through a general keyword search. ### How it works - **User Profile Mode**: Input one or more Threads usernames (e.g., `zuck`) to extract all their recent posts. This is perfect for analyzing the content strategy and audience reception of specific competitors, influencers, or brands. - **Hashtag Mode**: Provide a list of hashtags (e.g., `#TechNews`) to gather all posts using that tag. This allows you to track marketing campaigns, monitor community conversations, or aggregate user-generated content around a specific theme. - **Keyword Search Mode**: Search for any term across the platform. This mode includes advanced filters, allowing you to sort results by top engagement or recent activity, and to narrow the timeframe with start and end dates. It's the best option for market research, sentiment analysis, and discovering new trends. ### Data You'll Receive The output is a clean, structured dataset containing the full text of each post, alongside key engagement metrics like the number of likes, replies, reposts, and quotes. You also get user-level data, including their display name, bio, follower count, and verification status. For posts containing media, direct URLs to the images or videos are included, along with extracted hashtags and @mentions.

Key Capabilities

  • ✓ Full text content of each post
  • ✓ Post URL and creation timestamp
  • ✓ Engagement counts (Likes, Replies, Reposts, Quotes, Views)
  • ✓ Direct URLs to any images or videos in the post
  • ✓ User profile data (Username, Display Name, Bio, Follower Count, Verified Status)
  • ✓ Detected hashtags and @mentions within the post text
  • ✓ Contact details found in user bios (emails, external links, phone numbers)
  • ✓ Competitor Content Analysis: Scrape the profiles of 2-3 key competitors to analyze their posting frequency, content themes, and which posts get the most engagement.
  • ✓ Brand Mention Monitoring: Set up a scheduled run to search for your brand name or product names to track public sentiment and find user-generated content.
  • ✓ Influencer Discovery: Search for keywords relevant to your industry to identify influencers and creators who are actively discussing those topics and analyze their follower counts and engagement rates.
  • ✓ Hashtag Campaign Tracking: Monitor a specific campaign hashtag to measure its reach and engagement, and collect all associated user posts in one place.
  • ✓ Market Research: Extract conversations around a product category or industry trend to understand consumer opinions, common questions, and pain points.
  • ✓ PR & Crisis Management: Keep a pulse on public conversations by searching for your company's name or key executives, sorting by 'recent' to catch emerging stories.
  • ✓ Content Aggregation: Gather posts related to a specific event, topic, or location to feature on a website or in marketing materials.

Field Dictionary

How To Run This Extractor

1

Select the scrape mode: 'User' for profiles, 'Keyword' for hashtags, or 'Search' for keywords with advanced filters.

2

Enter the Threads usernames (without the '@') or the keywords/hashtags you want to track.

3

For 'Keyword Search' mode, you can optionally set the sort order to 'Top' or 'Recent' and specify a date range.

4

Set the maximum number of posts you want to retrieve for each username or keyword.

5

Click 'Run' and wait for the tool to collect the data.

6

Once the run is complete, preview the data and download it as a CSV, JSON, or Excel file.

Frequently Asked Questions

What's the difference between 'Hashtag' and 'Keyword Search' modes?
'Hashtag' mode is for pulling posts from one or more specific hashtags. 'Keyword Search' is more flexible, allowing you to search for any term and then sort results by top engagement or recent posts, and apply date filters.
Do I need a Threads account to use this tool?
Can I extract comments or replies to a specific post?
Can I get every post a user has ever made?
What formats can I export the data in?
Is it legal to scrape data from Threads?
How many usernames or keywords can I process at once?
How fresh is the data?
Can I schedule this tool to run automatically?
How is the cost determined?