Threads Scraper — Profiles, Posts & Bios

Threads Scraper — Profiles, Posts & Bios

Threads Scraper extracts structured Threads records, metadata, metrics, and direct links in real time. Built on a zero-browser HTTP/2 engine running in 256 MB RAM, it delivers normalized datasets with zero null fields ready for CSV, Excel, JSON, or API pipelines.

Looking for related scrapers? Check out Instagram Scraper, TikTok Scraper, YouTube Scraper, Twitter / X Scraper, or browse our full catalog of 118+ dedicated scrapers.

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What does Threads Scraper do?

Ultra-fast Meta Threads scraper with zero login requirements. Extract user bios, followers, post counts, verified status, and media on 256MB RAM.

Whether you need to monitor Threads at scale, enrich B2B/B2C databases, or feed structured records into analytics and AI workflows, Threads Scraper handles pagination, field normalization, and schema validation automatically:

• Bulk Data Extraction: Collect Threads listings, items, and detailed attributes in batches using keywords, filters, or direct URLs.
• Complete Public Metadata: Capture identifiers, pricing/engagement metrics, author/vendor details, timestamps, and canonical URLs.
• Multi-Format Export: Download results in JSON, CSV, Excel (XLSX), XML, or HTML Table directly from the Apify Console.
• Ready for Automation & AI: Connect seamlessly to Apify Integrations (Make, Zapier, n8n, Google Sheets), REST API endpoints, or the Apify MCP Server.

Beyond the Official Threads API

• No API Keys or Approval Delays: Start extracting public Threads data immediately without registering developer apps or waiting for quota approvals.
• No Restrictive Rate Quotas: Bypass strict per-minute API limits and expensive enterprise tiers while capturing the complete public data points displayed on Threads.
• 256 MB Zero-Browser Architecture: Uses native HTTP/2 and TLS session emulation instead of heavy Chromium instances, executing in seconds at a fraction of standard compute costs.

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What data can you scrape from Threads?

Threads Scraper extracts the following data points from Threads:

👤 Username (username)	📝 Full Name (fullName)	📝 Biography (biography)
📝 Followers (followers)	📝 Threads Count (threadsCount)	📝 Is Verified (isVerified)
🔗 Profile Pic URL (profilePicUrl)	🔗 URL (url)	📅 Scraped At (scrapedAt)

Data Category	Extracted Fields & Data Points
Identity & Core Identifiers	username (Username), fullName (Full Name)
Metrics, Pricing & Engagement	threadsCount (Threads Count)
Details, Attributes & Context	biography (Biography), followers (Followers), isVerified (Is Verified)
Direct Links, Media & Timestamps	profilePicUrl (Profile Pic URL), url (URL), scrapedAt (Scraped At)

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Why scrape Threads? (Typical Use Cases & Guides)

You can use Threads Scraper for a wide range of data and business workflows:

• Competitive & Market Intelligence: Track real-time listings, rankings, pricing shifts, and activity across Threads without manual copy-pasting.
• B2B Lead Generation & CRM Enrichment: Extract structured Threads records to enrich pipelines in HubSpot, Salesforce, Clay, Pipedrive, or Airtable.
• Trend Detection & Sentiment Monitoring: Analyze volume velocity, user ratings, and community feedback on Threads to spot market opportunities early.
• AI Agents, RAG & LLM Knowledge Pipelines: Feed normalized, zero-null Threads datasets directly into vector databases, autonomous AI agents, and LLM workflows.
• Automated Reporting & Scheduled Monitoring: Connect Threads Scraper to Make.com, n8n, Zapier, or Google Sheets for hands-free daily data refreshes.
• Market Research & Competitor Analysis: Benchmark Threads offerings, pricing strategies, and market share across regions.
• Lead Generation & CRM Enrichment: Build targeted prospect lists and sync verified records straight into HubSpot, Salesforce, or Clay.
• AI Agents & RAG Pipelines via MCP: Connect live Threads data directly to Claude Desktop, Cursor, or LangChain agents.

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How to scrape Threads data

Threads Scraper is designed for a zero-configuration start, even if you have never scraped data before:

1. Create a free Apify account using your email (includes $5.00 in free monthly credits).
2. Open Threads Scraper and click on the Input tab — all required fields are already pre-filled with a working example.
3. Enter your search terms, target URLs, or filter criteria (or keep the default pre-filled configuration for an instant 1-Click test).
4. Click the green "Start" button and wait a few seconds for the data to be extracted.
5. Download your dataset in JSON, CSV, Excel (XLSX), or HTML, or fetch it via the API tab.

For more technical details on every parameter, check out the Input Schema tab or read the Apify Platform Documentation.

🔗 How to scrape Threads by Search Term or Direct URL

Scraping by Search Term / Filter 🔑	Enter keywords, categories, or filter parameters just as you would search on Threads. Set the maximum number of items you want to extract and click Start.
Scraping by Direct URL 🔗	Paste one or more direct Threads links (or import a list of URLs from a Google Sheet / CSV) to extract targeted item or profile details in bulk.

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⬇️ Input Configuration & Examples

To start scraping Threads, fill in the visual input form in the Apify Console or pass a JSON payload via the API. Full technical specifications are available on the Input Schema tab.

Input Parameters Reference

Parameter	Type	Default / Prefill	Description
usernames	array	["zuck","mosseri"]	List of Meta Threads profile usernames (without @).
proxyConfiguration	object	—	Select Apify Proxy for high-volume automated crawling.

Example 1: Standard Extraction (1-Click Default)

{
  "usernames": [
    "zuck",
    "mosseri"
  ]
}

Example 2: Filtered & Batch Extraction

{
  "usernames": [
    "zuck",
    "mosseri"
  ]
}

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⬆️ Output Example (Table View, JSON & Fields Reference)

The scraped results are stored in a structured Apify Dataset available in the Storage tab. Below is a preview of the dataset in both Table View (CSV/Excel format) and JSON format.

Table View (CSV / Excel Dataset Preview)

Username	Full Name	Biography	Followers	Threads Count	Is Verified
zuck	Mark Zuckerberg	Mostly superintelligence and MMA takes.	5800000	170	true
zuck	Mark Zuckerberg	Mostly superintelligence and MMA takes.	7250000	213	true
zuck	Mark Zuckerberg	Mostly superintelligence and MMA takes.	4756000	139	true

JSON Output Example

{
  "username": "zuck",
  "fullName": "Mark Zuckerberg",
  "biography": "Mostly superintelligence and MMA takes.",
  "followers": 5800000,
  "threadsCount": 170,
  "isVerified": true,
  "profilePicUrl": "https://scontent-cdg4-3.cdninstagram.com/v/...",
  "url": "https://www.threads.net/@zuck",
  "scrapedAt": "2026-11-01T12:12:00.000Z"
}

Output Fields Reference

Field Name	Type	Description
username	string	Threads handle / username
fullName	string	User display name
biography	string	Profile biography text
followers	number	Total follower count
threadsCount	number	Total public threads posted
isVerified	boolean	Whether profile is verified
profilePicUrl	string	Profile avatar image URL
url	string	Direct canonical Threads profile URL
scrapedAt	string	ISO timestamp of extraction

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🔗 Scrape any data you need with dedicated scrapers

Combine Threads Scraper with our other dedicated scrapers from @RBBscrap if you want to extract specialized data across platforms:

🔹 Instagram Scraper	🔹 TikTok Scraper	🔹 YouTube Scraper
🔹 Twitter / X Scraper	🔹 Reddit Scraper	🔹 Pinterest Scraper

Scraper	Extracted Data & Primary Use Case
Instagram Scraper	Profiles, Posts & Reels
TikTok Scraper	Videos, Profiles & Stats
YouTube Scraper	Videos, Shorts & Channels
Twitter / X Scraper	Tweets & Profiles
Reddit Scraper	Posts, Comments & Subreddits
Pinterest Scraper	Pins, Boards, Search & Videos

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⚠️ Error Items & Resilience Reference

Threads Scraper is engineered to process multi-query and batch runs resiliently without crashing if a single query or URL fails:

Status / Code	Meaning & Automatic Handling
OK	Record successfully extracted, validated, and normalized with zero null fields.
DEFAULT_PREFILL_APPLIED	When an empty input payload {} is submitted, the Actor automatically applies its built-in default query so 1-Click runs always succeed.
RATE_LIMIT_RETRY	Transient HTTP 429 / 503 responses trigger automatic retry with exponential backoff and session rotation.
INVALID_TARGET_SKIPPED	Unreachable or malformed target items in a batch are logged with [WARN] and skipped without interrupting the run.

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❓ Frequently Asked Questions (FAQ)

How much does scraping Threads cost?

Threads Scraper uses transparent Pay-Per-Event (PAY_PER_EVENT) pricing set 10x cheaper than the market leader ($\div 10$):

• Event Rate: $0.0003 per Scraped Threads Scraper Record ($0.3 per 1,000 items).
• 🎁 1st Run 100% FREE: Your very first execution is 100% free ($0.00 event charges are applied on your initial run).
• Apify Free Plan ($5.00/month included): Every Apify account receives $5.00 in free monthly credits, which is enough to extract up to ~16,666 items per month for free.
• View full details on the Pricing tab and the Apify Pricing page.

Can I integrate Threads Scraper with Make, Zapier, n8n, or Google Sheets?

Yes. Threads Scraper can be connected with almost any cloud service or web app thanks to integrations on the Apify platform, including Make, Zapier, n8n, Slack, Airbyte, Google Sheets, Google Drive, and webhooks.

Can I use Threads Scraper with the Apify API (Python & Node.js)?

Yes. The Apify API gives you programmatic access to run Threads Scraper, schedule jobs, and fetch datasets. Use the apify-client PyPI package for Python or the apify-client NPM package for Node.js, or check the Apify API Reference:

Python (apify-client)

from apify_client import ApifyClient

client = ApifyClient("YOUR_APIFY_API_TOKEN")

run = client.actor("rbbscrap/threads-scraper").call(run_input={
    "usernames": ["zuck","mosseri"]
})

for item in client.dataset(run["defaultDatasetId"]).iterate_items():
    print(item)

Node.js (apify-client)

import { ApifyClient } from 'apify-client';

const client = new ApifyClient({ token: 'YOUR_APIFY_API_TOKEN' });

const run = await client.actor('rbbscrap/threads-scraper').call({
    usernames: ["zuck","mosseri"]
});

const { items } = await client.dataset(run.defaultDatasetId).listItems();
console.log(items);

Can I use Threads Scraper through an MCP Server (Claude Desktop, Cursor, AI Agents)?

Yes. With the Apify API, you can use Threads Scraper in conjunction with an MCP server to connect directly to Claude Desktop, Cursor, Windsurf, or LibreChat. Read the official guide on how to set up Apify Actors with MCP, or go to the MCP tab:

1. Start a Server-Sent Events (SSE) session to receive a sessionId.
2. Send API messages using that sessionId to trigger Threads Scraper with your input parameters.
3. Receive structured Threads dataset records directly inside your AI agent conversation.

Do I need residential proxies or login cookies to scrape Threads?

No. Threads Scraper operates on a zero-browser HTTP/2 protocol engine (256 MB RAM) and works out-of-the-box without requiring login cookies or external proxies for standard workloads. For high-volume enterprise runs, you can optionally use Apify Proxy in the input configuration.

Is it legal to scrape data from Threads?

Our scrapers are ethical and do not extract any private user data behind login walls. They only extract what is shared publicly on the web. However, please keep in mind that personal data is protected by GDPR (EU Regulation 2016/679) and other regulations worldwide. You should not scrape personal data unless you have a legitimate legal basis. Read more in Apify's guide on the legality of web scraping.

Your feedback & support

We are continuously improving the performance of our Actors. If you have any technical feedback for Threads Scraper, need a custom feature, or found a bug, please create an issue on the Actor's Issues tab in the Apify Console.