Facebook Following Scraper Max Iteam

🔍 Facebook Following Scraper Max Iteam – Overview

Facebook Following Scraper Max Iteam is an Apify Actor designed to extract structured information from the following section of Facebook profiles or pages. It accepts Facebook usernames, complete profile/page URLs, or a combination of both, then collects available following entries into structured dataset records.

The Actor is useful when you need organized Facebook following data for research, audience analysis, prospect discovery, social media research, competitive analysis, or other workflows that require information from publicly accessible Facebook following pages.

You can provide one or multiple Facebook targets in a single run. Duplicate targets are automatically ignored, helping prevent the same profile or page from being processed more than once.

📌 What this Actor does

• Accepts Facebook usernames and full Facebook profile/page URLs.
• Extracts following entries associated with each supplied target.
• Supports multiple targets in one run.
• Lets you control the maximum number of items collected per target.
• Produces structured records in the Apify dataset.
• Automatically avoids duplicate input targets.

The easiest way to use the Facebook Following Scraper Max Iteam is to enter a username such as Cristiano, optionally add a full Facebook URL, set the maximum number of items, and start the Actor.

🔍 Facebook Following Scraper Max Iteam – Key Features

The Facebook Following Scraper Max Iteam focuses specifically on following data rather than general Facebook profile scraping. This makes the output suitable for workflows where the relationship between a Facebook profile/page and the accounts it follows is the primary information of interest.

⚡ Key Features

• Facebook following extraction — Collect available following entries from supplied Facebook targets.
• Username support — Enter simple Facebook usernames without constructing the complete URL yourself.
• URL support — Supply complete Facebook profile or page URLs.
• Multiple targets — Process multiple usernames and URLs within one run.
• Duplicate handling — Duplicate canonical targets are ignored.
• Maximum item control — Choose how many following records to collect for each target.
• Structured dataset output — Results are stored as structured records in Apify.
• Profile-level source tracking — Each result identifies the input target from which it was collected.
• Flexible research workflow — Useful for social media research, competitive analysis, and audience discovery.

Because the Actor is centered on the following relationship, it is particularly useful when you want to understand which Facebook entities appear in a profile or page's following list.

🔍 Facebook Following Scraper Max Iteam – What Data Can You Extract?

The Facebook Following Scraper Max Iteam returns structured fields for each following entry. The exact availability of individual values can vary depending on the information Facebook makes available for a particular entry.

The output includes identifying information, display information, relationship information, image information, and the original input target.

📦 Output Data

• facebookUrl — Facebook URL associated with the extracted following entry.
• followType — Indicates that the record represents a following relationship.
• id — Identifier associated with the following record.
• friendship_status — Available friendship-status value for the extracted entry.
• short_name — Short/display name when available.
• image — Image URI associated with the entry when available.
• title — Display title or name.
• subtitle_text — Additional subtitle information when available.
• url — URL associated with the extracted following record.
• __typename — Entity type information when available.
• __isEntity — Entity indicator when available.
• gender — Gender value when available in the returned data.
• facebookId — Facebook identifier associated with the extracted entity.
• inputUrl — The Facebook following URL generated from the supplied input target.

These fields make the Facebook Following Scraper Max Iteam output suitable for structured analysis rather than requiring users to manually inspect individual Facebook pages.

🔍 Facebook Following Scraper Max Iteam – How to Use It

Using the Facebook Following Scraper Max Iteam requires only a few configuration steps.

📝 Step 1: Add Facebook usernames

Use the Usernames input when you want to provide Facebook usernames directly.

For example:

{
  "usernames": [
    "Cristiano",
    "nike"
  ]
}

The Actor converts supplied usernames into the appropriate Facebook following target automatically.

🔗 Step 2: Add Facebook URLs

You can alternatively provide complete Facebook profile or page URLs through the Profile / Page URLs input.

{
  "urls": [
    "https://www.facebook.com/tweakedmotorsports"
  ]
}

You can also use both usernames and urls in the same run.

🔢 Step 3: Set the maximum number of items

The maxItemsPerUrl input controls the maximum number of following records collected for each target.

For example:

{
  "maxItemsPerUrl": 50
}

The configured default is 50.

💡 Important

The maximum is applied per target URL, not as one combined limit for the entire run. If you provide several unique targets, each target can collect up to the configured maximum.

▶️ Step 4: Run the Actor

After entering your targets and maximum item count, start the Actor. The resulting records are pushed to the Apify dataset.

🔹 Input

The Facebook Following Scraper Max Iteam has three user-facing input properties. None of them are mandatory, although at least one username or URL is required for the Actor to have a target to process.

Input	Type	Required	Default	Description
usernames	Array	No	Example prefill	Facebook usernames to process
urls	Array	No	Example prefill	Full Facebook profile/page URLs
maxItemsPerUrl	Integer	No	50	Maximum following records per target

👤 usernames

Use this field for one or more Facebook usernames.

Example:

{
  "usernames": [
    "Cristiano",
    "nike",
    "examplepage"
  ]
}

The Actor accepts multiple values and combines them with values supplied through the URL field.

🌐 urls

Use urls when you prefer to provide complete Facebook profile or page addresses.

Example:

{
  "urls": [
    "https://www.facebook.com/tweakedmotorsports",
    "https://www.facebook.com/examplepage"
  ]
}

The Actor normalizes supplied Facebook targets before processing them.

🔢 maxItemsPerUrl

This integer determines the maximum number of following items collected for each target.

Example:

{
  "maxItemsPerUrl": 100
}

The Actor uses the requested limit while collecting available following records. If fewer records are available, the output naturally contains fewer records.

📌 Input Note

If both usernames and urls are supplied, they are combined into one target list. Duplicate targets are removed before processing.

🔹 Output

The Actor stores extracted following records as structured dataset items.

A representative output record looks like this:

{
  "facebookUrl": "https://www.facebook.com/example",
  "followType": "following",
  "id": "123456789",
  "friendship_status": "CAN_REQUEST",
  "short_name": "Example",
  "image": "https://example.com/image.jpg",
  "title": "Example",
  "subtitle_text": "Example description",
  "url": "https://www.facebook.com/example",
  "__typename": "User",
  "__isEntity": true,
  "gender": "MALE",
  "facebookId": "123456789",
  "inputUrl": "https://www.facebook.com/source/following"
}

Values such as names, images, relationship status, gender, and entity metadata depend on what is available for the individual following entry.

📊 Output Data Fields

Field	Description
facebookUrl	Facebook URL of the extracted entity
followType	Following relationship type
id	Record identifier
friendship_status	Available friendship status
short_name	Short or display name
image	Available image URI
title	Display title/name
subtitle_text	Additional display text
url	Entity URL
__typename	Available entity type
__isEntity	Entity indicator
gender	Available gender value
facebookId	Facebook entity ID
inputUrl	Source following target

🔹 How to Scrape Facebook Following Data

To scrape Facebook following data, start by identifying the Facebook profile or page you want to investigate. Copy its username or complete Facebook URL and add it to the Actor input.

For example:

{
  "usernames": [
    "Cristiano"
  ],
  "maxItemsPerUrl": 50
}

For multiple targets:

{
  "usernames": [
    "Cristiano",
    "nike"
  ],
  "urls": [
    "https://www.facebook.com/tweakedmotorsports"
  ],
  "maxItemsPerUrl": 50
}

After the run completes, open the dataset to review the collected Facebook following records.

The Facebook Following Scraper Max Iteam is therefore suitable for repeatable Facebook following research without manually navigating through each supplied target.

🔹 Can You Scrape Multiple Facebook Profiles?

Yes. The Actor supports multiple usernames and multiple full Facebook URLs in one run.

For example, you can combine:

{
  "usernames": [
    "Cristiano",
    "nike",
    "example"
  ],
  "urls": [
    "https://www.facebook.com/examplepage"
  ],
  "maxItemsPerUrl": 25
}

The Actor combines these inputs into a target list and removes duplicate targets before processing.

This is useful for comparative social media research where several Facebook profiles or pages need to be examined together.

🔎 Multi-target workflow

• Add several usernames.
• Add several complete Facebook URLs if required.
• Set the maximum records per target.
• Run the Actor.
• Review the structured dataset.

🔹 What Is the Best Way to Use the Maximum Item Setting?

The maxItemsPerUrl setting should reflect the amount of following data you actually need.

For a quick sample, a smaller value can reduce the amount of output. For broader research, increase the value so the Actor can collect more available following entries from each target.

Examples:

Research goal	Example setting
Quick sample	10
Small research set	25
Standard collection	50
Larger collection	100

These are usage examples rather than guaranteed result counts. The Actor can only return records that are available for the supplied Facebook target.

🔹 Facebook Following Scraper Max Iteam – Use Cases

The structured following dataset can support several practical workflows.

📈 Social Media Research

Researchers can collect following information from multiple Facebook profiles or pages and organize the resulting records for further analysis.

🔍 Competitive Research

Businesses can examine available following relationships associated with relevant Facebook targets as part of broader social media research.

👥 Audience and Interest Discovery

Following information can provide additional context when studying the public social presence surrounding a Facebook profile or page.

🧩 Lead and Prospect Research

The extracted names, URLs, identifiers, and available profile information can be used as one input into a larger prospect research workflow.

📊 Dataset Building

Researchers can build structured datasets from multiple Facebook targets rather than manually recording individual entries.

🤖 Automated Workflows

Because the Actor runs on Apify, collected records can become part of a broader automated data workflow where Apify datasets are used for subsequent processing.

🎯 Use Case Summary

• Social media intelligence
• Facebook audience research
• Competitive research
• Prospect discovery
• Public profile research
• Structured dataset creation
• Multi-profile comparison
• Automated research workflows

🔹 What Are the Limitations?

The Facebook Following Scraper Max Iteam depends on information that is available from the supplied Facebook targets at the time of a run.

Not every target will necessarily expose the same amount or type of information. Individual output fields can therefore be empty or unavailable for some records.

The maximum item setting is also a limit rather than a guarantee. Setting maxItemsPerUrl to 100 does not mean every target will always produce exactly 100 records.

⚠️ Important Notes

• Results depend on data available for the supplied Facebook target.
• Some output fields may not contain values for every record.
• A target may provide fewer records than the requested maximum.
• Invalid, unavailable, or inaccessible targets may produce no extracted records.
• The Actor focuses on following data rather than general Facebook post extraction.

🔹 Why Use This Actor?

The Facebook Following Scraper Max Iteam provides a focused workflow for collecting Facebook following information in structured form.

Instead of entering each target individually, you can submit multiple usernames and URLs together. The Actor then handles target normalization, duplicate removal, collection, and dataset output within the same run.

💡 Why this workflow is useful

• One run can process multiple Facebook targets.
• Usernames and complete URLs can be combined.
• Duplicate targets are automatically removed.
• Maximum collection size can be configured.
• Results are returned as structured dataset records.
• Source input information is retained with each result.

🔹 Exporting and Working With the Output

After the Actor completes, the extracted records are available through the Apify dataset associated with the run.

The structured format is useful for further processing, analysis, filtering, and transformation. Depending on your Apify workflow, dataset records can also be used as input for downstream automation.

The important advantage is that each following entry is represented as an individual structured record rather than unstructured page text.

🔹 Pricing

No specific price is defined in the supplied Actor configuration, so a fixed price is not stated here.

💰 Pricing Note

• Pricing should be checked on the Actor's current Apify Store page.
• Actual usage cost can depend on the Actor's current Store configuration and your Apify account settings.
• This README does not state an unverified price.

🔹 Tips and Best Practices

✅ Use Clean Inputs

Provide usernames or complete Facebook URLs that clearly identify the target you want to research.

✅ Start With a Smaller Limit

If you are testing several targets, start with a smaller maxItemsPerUrl value. Once the output matches your requirements, increase the limit for larger collections.

✅ Use Multiple Targets Carefully

When processing many targets, remember that the maximum applies individually to each target. A larger target list combined with a larger maximum can therefore produce a substantially larger dataset.

✅ Review the Dataset

Check the returned dataset after a run to understand which fields are populated for your specific Facebook targets.

✅ Preserve the Input Context

The inputUrl field helps connect an extracted following record with the target from which it was collected, which can be useful when analyzing multiple Facebook profiles in one dataset.

🔹 Frequently Asked Questions

❓ What is Facebook Following Scraper Max Iteam?

Facebook Following Scraper Max Iteam is an Apify Actor for extracting structured following information from supplied Facebook profiles or pages.

❓ What data does Facebook Following Scraper Max Iteam extract?

It can return fields including Facebook URLs, following type, IDs, names, titles, image information, subtitle text, friendship status, entity metadata, gender information, and the source input URL when those values are available.

❓ Can I provide a Facebook username instead of a URL?

Yes. The usernames input accepts Facebook usernames such as Cristiano.

❓ Can I provide full Facebook URLs?

Yes. Use the urls input for complete Facebook profile or page URLs.

❓ Can I use usernames and URLs together?

Yes. Both fields are merged into a single target list, and duplicate targets are removed.

❓ How many following items can I extract?

The maxItemsPerUrl setting controls the maximum number of records collected for each target. Its configured default is 50.

❓ Does maxItemsPerUrl apply to the entire run?

No. The setting is applied per target. If several unique targets are supplied, each target can be processed up to the configured maximum.

❓ Does the Actor always return the maximum number of records?

No. The maximum is a limit, not a guaranteed count. A Facebook target may have fewer available following records or may not expose all requested information.

❓ What happens if I submit duplicate Facebook targets?

Duplicate canonical targets are ignored, so the same target is not intentionally processed more than once in the same run.

❓ Where are the results stored?

The Actor pushes extracted records to the Apify dataset associated with the run.

❓ Can I process several Facebook pages in one run?

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

❓ Can I use the Actor for general Facebook post scraping?

The Actor is specifically focused on following data. It should not be treated as a general-purpose Facebook post scraper.

❓ Why might some output fields be empty?

Facebook does not necessarily expose identical information for every following entry. Consequently, fields such as images, gender, friendship status, subtitle information, or entity metadata may not be populated for every result.

🔹 Support

If you need help using the Facebook Following Scraper Max Iteam, first check your input values and the resulting dataset. Make sure that your usernames or Facebook URLs identify the intended targets and that maxItemsPerUrl matches the amount of data you want to collect.

For questions, feedback, or assistance with the Actor, you can contact the developer by email.

• contact me by email : alphascraper69@gmail.com