Threads Profile Details Scraper

🔍 Threads Profile Details Scraper – Overview

Threads Profile Details Scraper extracts structured public profile information from Threads profile pages using profile URLs or usernames. It is designed for researchers, marketers, social media teams, analysts, lead researchers, and developers who need organized Threads profile details without manually opening each profile and copying information.

The Actor accepts one or more Threads profile URLs through Start URLs or one or more profile handles through Usernames. Both input methods are combined, duplicate profile URLs are removed, and each unique profile is processed individually.

The resulting dataset contains core profile details such as the username, profile ID, display name, biography, biography link, follower count, formatted follower count, profile picture URL, source URL, and verification status.

Key Features

• Extract Threads profile details from profile URLs
• Extract Threads profile details from usernames or handles
• Accept multiple profiles in a single run
• Automatically remove duplicate profile URLs
• Return structured profile data in Apify dataset output
• Capture follower counts in both numeric and readable formats
• Capture profile bio, profile image URL, and biography link
• Identify whether a profile is verified
• Suitable for repeated profile research and structured data collection

Threads Profile Details Scraper focuses on profile-level information rather than collecting posts, comments, replies, or other content types. This makes it useful when the primary requirement is understanding the public identity and basic audience information associated with Threads profiles.

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⚙️ Threads Profile Details Scraper – Key Features

The Actor is built around a simple workflow: provide Threads profiles, run the Actor, and receive structured records in the output dataset.

🎯 Profile URL Extraction

You can provide direct Threads profile URLs through the Start URLs input. This is useful when you already have a prepared list of profile pages that you want to process.

Supported profile URLs can follow the standard Threads profile URL format, including URLs such as:

https://www.threads.net/@username

The Actor also accepts Threads profile URLs using the threads.com domain when supplied as a Start URL.

👤 Username-Based Extraction

The Usernames field allows you to provide Threads handles without manually creating profile URLs.

Both formats are accepted:

• @username
• username

The Actor removes the @ symbol when necessary and creates the corresponding Threads profile URL for processing.

📚 Multiple Profile Processing

You can submit multiple Threads profiles in the same Actor run. This is useful for competitor research, creator discovery, audience analysis, social profile comparison, and maintaining structured profile datasets.

When both input fields are used, the Actor combines the supplied profiles into one processing list.

♻️ Duplicate Removal

When the same profile is supplied more than once, duplicate profile URLs are removed before processing. This helps keep the resulting Threads profile dataset cleaner and avoids intentionally processing an identical profile multiple times in the same run.

Why Use This Actor

• Quickly turn Threads profile pages into structured data
• Reduce repetitive manual profile research
• Collect consistent profile information across multiple accounts
• Compare follower counts and profile characteristics
• Create reusable datasets for analysis and reporting

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📊 Threads Profile Details Scraper – What Data You Can Extract

Each successfully processed profile produces one structured output record.

The data is focused on public profile attributes that are useful for profile analysis and identification.

Field	Description
source_url	The Threads profile URL processed by the Actor
username	Threads username associated with the profile
id	Profile identifier extracted for the profile
pk	Profile primary identifier; the Actor returns the same identifier value here
bio	Profile biography text
bio_links	The first available biography link URL when present
follower_count	Numeric follower count
follower_count_formatted	Human-readable follower count such as 1.2K or 4.4M
profile_pic_url	Profile picture URL
full_name	Profile display name
is_verified	Boolean value indicating whether the profile is marked as verified

📈 Follower Count Data

Two follower-related fields are provided.

follower_count is returned as a numeric value, which makes it convenient for sorting, filtering, calculations, and analysis.

follower_count_formatted provides a readable representation. For example, a numeric count may be represented using formats such as 100K or 4.4M.

This gives you both machine-friendly and user-friendly follower information in the same output.

🔗 Profile Links and Identity Data

The output can also contain profile identity information including:

• Username
• Full name
• Biography
• Biography link
• Profile picture URL
• Profile ID
• Verification status
• Source profile URL

These fields can be useful when creating profile directories, comparing accounts, enriching research datasets, or organizing social profile information.

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🛠️ Threads Profile Details Scraper – How to Use It

Using the Actor requires only a few steps.

1. Add Profile URLs

Open the Actor input and add one or more Threads profile URLs under Start URLs.

Example:

{
  "startUrls": [
    {
      "url": "https://www.threads.net/@natgeo"
    },
    {
      "url": "https://www.threads.com/@chrislil_gh"
    }
  ]
}

2. Or Add Usernames

Instead of URLs, you can provide profile usernames through the Usernames field.

Example:

{
  "usernames": [
    "@thephinstones",
    "newscientist"
  ]
}

The @ symbol is optional.

3. Use Both Inputs Together

You can also use Start URLs and Usernames in the same run. The Actor combines the two sources into one list and removes duplicate profile URLs before processing.

4. Run the Actor

Start the Actor from Apify. Each successfully processed profile is written as a structured dataset item.

5. Review or Export the Dataset

The resulting Apify dataset can be viewed in the platform and used for further analysis or export in supported dataset formats.

Input

• startUrls: Array of Threads profile URLs
• usernames: Array of Threads usernames or handles
• Both fields are optional
• You can use either input field or both
• No additional input field is required for the supplied Actor configuration

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🔎 How to Scrape Threads Profile Details From Usernames

The easiest way to scrape Threads profile details when you already have a list of handles is to use the Usernames input.

For example:

{
  "usernames": [
    "natgeo",
    "@newscientist",
    "thephinstones"
  ]
}

The Actor processes each supplied handle as a Threads profile and returns structured data for each successfully retrieved profile.

This approach is particularly convenient when profile usernames are already stored in a spreadsheet, research list, campaign database, or another structured source.

You do not need to manually convert every username into a profile URL.

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👥 Can You Extract Data From Multiple Threads Profiles?

Yes. Threads Profile Details Scraper is designed to process multiple supplied profiles during one run.

You can provide multiple direct profile URLs, multiple usernames, or a combination of both.

For example:

{
  "startUrls": [
    {
      "url": "https://www.threads.net/@natgeo"
    }
  ],
  "usernames": [
    "newscientist",
    "thephinstones"
  ]
}

The Actor combines these inputs and removes duplicate profile URLs before extraction.

This makes the workflow practical for profile lists rather than only one-at-a-time manual checks.

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📦 Threads Profile Details Scraper – Output Format

The Actor writes each successful profile result as a structured dataset item.

A representative output record looks like this:

{
  "source_url": "https://www.threads.net/@natgeo",
  "username": "natgeo",
  "id": "123456789",
  "pk": "123456789",
  "bio": "Example profile biography",
  "bio_links": "https://example.com",
  "follower_count": 4400000,
  "follower_count_formatted": "4.4M",
  "profile_pic_url": "https://example.com/profile-picture.jpg",
  "full_name": "Example Name",
  "is_verified": true
}

The example above illustrates the output structure and field types. Actual values depend on the profile being processed and the information publicly available on that profile.

Output / Data Fields

• source_url preserves the processed profile URL
• username identifies the Threads handle
• id and pk provide the profile identifier returned by the Actor
• bio contains biography text when available
• bio_links contains the first detected biography link when available
• follower_count provides the numeric follower count
• follower_count_formatted provides a readable follower count
• profile_pic_url provides the profile image URL
• full_name provides the displayed profile name
• is_verified provides verification status as true or false

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🧩 Threads Profile Details Scraper – Practical Use Cases

📊 Social Media Research

Collect Threads profile information for structured social media research. Compare profile names, biographies, follower counts, verification status, and profile links across selected accounts.

🔎 Creator and Influencer Research

Build a structured list of Threads creators and public profiles. Follower counts and profile information can help organize research datasets and identify accounts that deserve deeper review.

🏢 Brand Monitoring

Collect public Threads profile details for brands, organizations, publishers, communities, and other public accounts. The structured output can be used as a starting point for profile directories and monitoring workflows.

📈 Competitive Analysis

Compare selected public Threads profiles using consistent fields. Follower counts, biographies, verification status, and profile links can provide useful high-level profile context.

🗂️ Profile Database Creation

Create a reusable dataset of Threads profiles for internal research, content planning, social intelligence, or account cataloging.

🔗 Profile Enrichment

Use the output to enrich an existing dataset with public username, display name, biography, profile image URL, follower count, verification status, and biography link information.

Use Cases

• Creator and influencer research
• Social media profile analysis
• Brand and competitor research
• Public profile directories
• Profile enrichment
• Audience research
• Social media monitoring workflows
• Academic and market research

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🔄 What Happens When Both Input Fields Are Used?

The Actor supports two sources of profile targets: direct URLs and usernames.

When both are supplied, the Actor collects targets from both fields and removes duplicate URLs before processing. This means you can mix a prepared URL list with additional usernames without intentionally submitting the same profile twice.

For username inputs, the Actor accepts handles with or without @.

For URL inputs, the supplied profile URL is used as the source URL for the result.

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🧠 How Accurate Is the Extracted Threads Profile Data?

The Actor extracts profile-level information from the available public profile page data it can successfully retrieve.

The exact completeness of a record depends on what information is available for the profile at the time of the run. For example, a biography link may be empty when a profile does not expose one, while some profile values may not be available in the retrieved page data.

This is why output fields should be interpreted according to their returned values rather than assuming every profile contains every attribute.

The Actor is intended for public profile information and does not claim to retrieve private account data.

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💰 Threads Profile Details Scraper – Pricing

No fixed price is published in the supplied Actor information, so this README does not invent a price or disclose internal billing details.

Your actual cost depends on the applicable Apify account, platform usage, and Actor configuration shown in your Apify environment.

The Actor produces structured dataset results for successfully processed profiles, making it straightforward to review the number and quality of records returned from a run.

Pricing

• No fixed public price was provided in the supplied Actor configuration
• Do not assume a price from this README
• Check the Actor's current Apify Store or Console information for applicable usage costs

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💡 Tips and Best Practices

✅ Use Clean Profile Inputs

For URL-based extraction, provide direct Threads profile URLs rather than unrelated Threads pages.

For username-based extraction, use the exact profile handle whenever possible.

✅ Combine Inputs Strategically

Use startUrls when you already have profile URLs and usernames when you have a list of handles. Both can be used together when your source data contains a mixture of the two.

✅ Check Output Before Analysis

Review the returned dataset before performing large-scale analysis. This helps you identify empty optional fields, unavailable profile information, or profiles whose public data has changed.

✅ Use Numeric Followers for Analysis

Use follower_count for calculations and filtering, while follower_count_formatted is better suited for reports and human-readable summaries.

✅ Preserve the Source URL

Keep source_url alongside the extracted fields so each output record remains traceable to the Threads profile that was processed.

Important Notes

• Results represent profile information available at extraction time
• Optional profile attributes can be empty
• The Actor does not scrape private account information
• Profile-level extraction does not mean post, comment, or reply extraction
• Use the numeric follower field for calculations and the formatted field for display

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🤖 Threads Profile Details Scraper – Automation and Data Workflows

Because the Actor runs on Apify, it can fit into broader Apify-based workflows where Actors are launched repeatedly and their dataset results are processed afterward.

For example, a recurring workflow can maintain a regularly refreshed list of selected Threads profiles. You can also use the structured dataset output as an input to downstream analysis or reporting workflows supported by the Apify platform.

The result fields are predictable and suitable for machine-readable processing because each successful profile is stored as a structured dataset item.

This makes Threads Profile Details Scraper useful not only for manual research but also for repeatable profile-data collection workflows.

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🔍 Frequently Asked Questions

❓ What is Threads Profile Details Scraper?

Threads Profile Details Scraper is an Apify Actor that extracts structured public profile information from Threads profiles. It accepts Threads profile URLs and usernames and returns profile-level fields such as username, biography, follower count, profile image URL, full name, profile identifiers, and verification status.

❓ How do I scrape Threads profile details from usernames?

Enter one or more usernames in the Usernames input. Both @username and username formats are accepted. The Actor converts the handles into Threads profile URLs and processes the resulting profiles.

❓ Can I scrape Threads profiles using URLs?

Yes. Add one or more direct Threads profile URLs to the Start URLs input. The Actor uses those URLs as profile targets and includes the processed URL in the source_url output field.

❓ Can I use Threads usernames and URLs together?

Yes. The Actor supports both input fields in the same run. Supplied URLs and usernames are combined, and duplicate URLs are removed before processing.

❓ What data does Threads Profile Details Scraper return?

The Actor returns source_url, username, id, pk, bio, bio_links, follower_count, follower_count_formatted, profile_pic_url, full_name, and is_verified.

❓ Does the Actor return follower counts?

Yes. It provides both a numeric follower_count and a readable follower_count_formatted value.

❓ Does it extract Threads profile biographies?

Yes. The bio field contains the available profile biography text. When a biography link is available, bio_links can contain the first detected link.

❓ Does it extract profile pictures?

Yes. The profile_pic_url field contains the available profile image URL.

❓ Does it scrape Threads posts and comments?

No. This Actor is focused on Threads profile details. The supplied configuration and code do not describe post, comment, reply, or engagement scraping.

❓ Can I use the output for research or analysis?

Yes. The structured dataset is suitable for profile research, social media analysis, creator research, brand comparison, profile enrichment, and other workflows involving public Threads profile information.

❓ Are private Threads profiles supported?

The Actor is intended for publicly accessible profile information. It does not claim to extract private account data.

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📝 Support

Threads Profile Details Scraper is designed to provide a simple workflow for collecting structured Threads profile information from URLs or usernames.

For the best results, provide valid profile targets and review the returned dataset before using it for analysis or downstream workflows. Because public profile information can change over time, rerunning the Actor can provide an updated snapshot of the profiles you are monitoring.

• contact me by email : alphascraper69@gmail.com