Snapchat Comments Scraper

👻 Snapchat Comments Scraper – Overview

Snapchat Comments Scraper extracts publicly available Snapchat profile information together with available Spotlight comment data. It is designed for users who need structured Snapchat comments, profile details, engagement information, and comment metadata from one or multiple Snapchat profiles.

You can provide Snapchat profile URLs, @usernames, or usernames in a single input list. The Actor processes each profile and returns structured records containing profile information and an array of comments associated with the available Spotlight content.

💡 Quick Start: Add one or more Snapchat profile URLs or usernames to the usernames input, run the Actor, and retrieve the structured results from the default dataset.

This Snapchat Comments Scraper is useful for social media research, audience analysis, comment monitoring, content research, and collecting structured Snapchat profile and comment data for further analysis.

🔍 Snapchat Comments Scraper – Key Features

The Actor focuses on extracting profile-level information and available Spotlight comments while keeping the returned data structured and easy to process.

📦 Key Features

• Extract Snapchat profile information.
• Collect available Spotlight comments.
• Process multiple Snapchat profiles in one run.
• Accept Snapchat profile URLs.
• Accept @username values.
• Accept usernames without the @ symbol.
• Return structured comment metadata.
• Include comment text and timestamps when available.
• Include comment likes and reply counts.
• Return profile URLs and profile photos when available.

The Snapchat Comments Scraper is particularly useful when you want profile information and comments together rather than collecting only individual comment text.

💬 Snapchat Comments Scraper – What Data Can You Extract?

Each processed profile produces a structured record containing profile-level information and a comments array.

The profile information can include the Snapchat profile ID, username, display name, biography, canonical profile URL, and profile photo.

The comment collection contains information such as the comment ID, related post ID, commenter ID, display name, comment text, creation timestamp, like count, and reply count.

📊 Output at a Glance

• Profile data: ID, username, display name, bio, profile URL, profile photo
• Comment data: comment ID, post ID, user ID, display name, text
• Engagement data: like count and reply count
• Time data: comment creation timestamp
• Structure: one profile record containing its available comments

The amount of comment data returned depends on what is available for the processed Snapchat profile and its publicly accessible Spotlight content.

⚙️ Snapchat Comments Scraper – How to Use It

Using the Snapchat Comments Scraper requires only a list of profiles.

🟢 Step 1: Prepare Snapchat Profiles

Collect the Snapchat profiles you want to process. You can use full profile URLs, usernames beginning with @, or usernames without @.

For example:

https://www.snapchat.com/@loganpaul
@reem_real
reem_real

🟢 Step 2: Add the Profiles to Input

Place your values inside the usernames array.

{
  "usernames": [
    "https://www.snapchat.com/@loganpaul",
    "@reem_real"
  ]
}

🟢 Step 3: Run the Actor

Start the Actor after entering the profiles. It processes the profiles individually and creates structured output records.

🟢 Step 4: Review the Dataset

After the run completes, inspect the resulting dataset to access the profile details and available comments.

🚀 Simple Workflow

• Enter Snapchat profiles.
• Run the Snapchat Comments Scraper.
• Wait for profile processing.
• Open the resulting dataset.
• Analyze or export the collected structured data.

🔗 How to Scrape Snapchat Comments from Profile URLs

To scrape Snapchat comments using profile URLs, provide the complete Snapchat profile URL in the usernames input.

For example:

{
  "usernames": [
    "https://www.snapchat.com/@loganpaul"
  ]
}

The Actor recognizes the Snapchat domain and extracts the username from the supplied profile URL. It then processes the corresponding Snapchat profile.

You can also combine profile URLs and usernames:

{
  "usernames": [
    "https://www.snapchat.com/@loganpaul",
    "@reem_real",
    "another_username"
  ]
}

This makes the Snapchat Comments Scraper convenient for mixed input lists where profile URLs and usernames are collected from different sources.

📋 Input

The Actor currently exposes one input field: usernames.

Input field	Type	Required	Description
usernames	Array of strings	Yes*	One or more Snapchat usernames or profile URLs

*The Actor can start without the field, but it will not process profiles when the input list is empty.

📝 Input Notes

• Full Snapchat profile URLs are supported.
• @username values are supported.
• Plain usernames are supported.
• Multiple profiles can be supplied in one run.
• Each profile is processed separately.

🧾 Example Input

{
  "usernames": [
    "https://www.snapchat.com/@loganpaul",
    "@reem_real"
  ]
}

The Actor's prefilled input demonstrates the same supported profile formats, making it easy to test the Snapchat Comments Scraper without building an input list from scratch.

📤 Output

The Snapchat Comments Scraper returns one structured record for each successfully processed profile.

A simplified output structure looks like this:

{
  "id": "profile-id",
  "username": "example_username",
  "displayName": "Example Display Name",
  "bio": "Profile biography",
  "profileUrl": "https://www.snapchat.com/@example_username",
  "profilePhoto": "https://example.com/profile.jpg",
  "comments": [
    {
      "commentId": "comment-id",
      "postId": "post-id",
      "userId": "user-id",
      "username": "",
      "displayName": "Commenter Name",
      "text": "Example comment",
      "createdAt": "timestamp",
      "likeCount": 12,
      "replyCount": 2
    }
  ]
}

The values above illustrate the output structure; actual values depend on the processed Snapchat profile and available data.

🗂️ Snapchat Comments Scraper – Output Data Fields

👤 Profile Fields

Field	Description
id	Snapchat profile identifier when available
username	Snapchat username
displayName	Public profile display name
bio	Profile biography
profileUrl	Canonical Snapchat profile URL when available
profilePhoto	Profile photo URL when available
comments	Array containing available Spotlight comments

💭 Comment Fields

Field	Description
commentId	Identifier associated with the comment
postId	Snapchat post identifier associated with the comment
userId	Identifier associated with the commenter
username	Commenter's username field
displayName	Commenter's display name
text	Comment text
createdAt	Comment creation timestamp
likeCount	Available reaction/like count
replyCount	Number of threaded replies when available

📌 Important: The username field inside each comment is currently returned as an empty string by the Actor. Use displayName and userId for the commenter information that is actually populated.

🎯 What Is Snapchat Comments Scraper Useful For?

The Snapchat Comments Scraper can support several research and data collection workflows where Snapchat profile and comment information is useful.

📈 Social Media Research

Researchers can collect structured Snapchat profile information and available comments to study public audience conversations and content interactions.

💬 Comment Analysis

The extracted text, createdAt, likeCount, and replyCount fields can be used as a starting point for comment analysis, engagement research, and qualitative review.

👥 Audience Research

Profile and commenter metadata can help organize publicly available information for audience research and content analysis.

🔎 Content Research

Marketing teams, researchers, and analysts can use available comment data to understand the types of conversations associated with Snapchat Spotlight content.

📊 Engagement Analysis

Like counts and reply counts provide useful engagement indicators that can be analyzed alongside comment text and timestamps.

💡 Use Case Box

• Social media research
• Snapchat audience analysis
• Spotlight comment research
• Comment sentiment preparation
• Engagement analysis
• Content research
• Public profile data collection
• Social listening workflows

🔄 Can You Process Multiple Snapchat Profiles?

Yes. The usernames input accepts an array, so multiple Snapchat profiles can be submitted during the same Actor run.

For example:

{
  "usernames": [
    "@creator_one",
    "@creator_two",
    "@creator_three",
    "https://www.snapchat.com/@creator_four"
  ]
}

The Snapchat Comments Scraper processes the supplied profiles individually and produces structured records for profiles from which data can be extracted.

This approach is useful for batch research because you do not need to create a separate Actor run for every profile.

🧩 Snapchat Comments Scraper – General Workflow

The Actor follows a straightforward profile-to-dataset workflow.

• You provide profile usernames or Snapchat profile URLs.
• The supplied profile reference is normalized into a Snapchat profile.
• Available public profile information is collected.
• Available Spotlight comment information is identified.
• Comment metadata is organized into structured fields.
• A profile record containing the comments array is saved to the dataset.

The resulting structure is suitable for downstream data analysis because profile and comment information remain associated within the same record.

💰 Pricing

The provided Actor configuration explains that the displayed estimate is based on processing 1,000 profile URLs, and that the cost is based on the number of profile URLs processed rather than the number of comments extracted.

💳 Pricing Information

• Cost is based on processed profile URLs.
• The Actor does not charge separately for every extracted comment according to the provided configuration.
• The displayed estimate is based on 1,000 profile URLs.
• Your actual usage depends on the number of profile URLs processed.

The exact current monetary price should be checked on the Actor's Apify Store page rather than inferred from the source configuration.

🛠️ Tips and Best Practices

For better-organized Snapchat comment research, keep your input list clean and consistent.

• Use valid Snapchat profile URLs whenever possible.
• You can also use @username or plain username formats.
• Remove duplicate profiles before large runs when practical.
• Keep batches organized by campaign, creator group, or research topic.
• Review the output dataset after each run.
• Use commentId to distinguish individual comments.
• Use postId to associate comments with the relevant Snapchat post.
• Use createdAt when performing time-based comment analysis.
• Combine likeCount and replyCount when studying engagement.
• Remember that available public data can vary between profiles.

⚠️ Important Notes

• Not every profile will necessarily provide the same amount of comment data.
• A profile may contain no available comments.
• Profile information can be empty when the relevant public information is unavailable.
• The comment username output field is currently empty.
• Results depend on data that is available from the processed Snapchat profile.

📥 What Happens If No Usernames Are Provided?

If the usernames input array is empty or missing, the Actor logs that no usernames were provided and stops without processing profiles.

Therefore, always provide at least one Snapchat username or profile URL when you want to collect data.

🔐 Data and Privacy Considerations

The Snapchat Comments Scraper is intended for collecting publicly available profile and comment information exposed through the supported Snapchat profile pages.

Use collected data responsibly and in accordance with Snapchat's terms, applicable laws, privacy requirements, and the purpose for which you are collecting the information.

Avoid treating extracted public information as permission to contact, profile, or identify individuals for purposes that violate applicable rules or expectations.

❓ Frequently Asked Questions

🔍 What is Snapchat Comments Scraper?

Snapchat Comments Scraper is an Apify Actor designed to collect available Snapchat profile information and Spotlight comments in a structured dataset.

👤 Can I scrape Snapchat comments from a username?

Yes. You can provide an @username or a plain username through the usernames input.

🔗 Can I scrape Snapchat comments from a profile URL?

Yes. Full Snapchat profile URLs are supported. For example:

https://www.snapchat.com/@example_username

📊 What data does Snapchat Comments Scraper extract?

The Actor can return profile ID, username, display name, bio, profile URL, profile photo, and an array of available comments with comment IDs, post IDs, user IDs, display names, text, timestamps, likes, and replies.

💬 Does Snapchat Comments Scraper extract all comments?

The Actor collects the comment data available from the processed profile's accessible Spotlight comment information. The amount of data can vary by profile.

👥 Can I process multiple Snapchat profiles?

Yes. The usernames field is an array, so multiple profile URLs or usernames can be submitted in one run.

🧾 What input format does Snapchat Comments Scraper use?

The Actor accepts an array of strings through the usernames field. Values can be Snapchat profile URLs, @usernames, or plain usernames.

❤️ Does the output include comment likes?

Yes. The likeCount field provides the available like/reaction count associated with each extracted comment.

↩️ Does the output include comment replies?

Yes. The replyCount field provides the threaded reply count when available.

🕐 Does Snapchat Comments Scraper provide comment timestamps?

Yes. The createdAt field contains the available comment creation timestamp.

👤 Does every comment include a username?

No. The current output structure includes a username field, but it is returned as an empty string. The populated commenter fields include userId and displayName.

📤 Can I use the results for further data analysis?

Yes. The structured profile and comment fields are suitable for downstream analysis, filtering, aggregation, and other workflows using the resulting dataset.

📌 Snapchat Comments Scraper – Summary

Snapchat Comments Scraper provides a focused way to collect structured Snapchat profile information and available Spotlight comments from one or multiple profile references.

Its input is intentionally simple: provide Snapchat profile URLs or usernames through usernames, run the Actor, and review the resulting profile records and comment arrays.

The output is designed around practical research fields including comment text, timestamps, likes, replies, profile information, and identifiers. This makes the Snapchat Comments Scraper useful for social media research, content analysis, audience research, and Snapchat engagement studies where structured public data is needed.

✅ At a Glance

• Input: Snapchat usernames or profile URLs
• Batch processing: Multiple profiles per run
• Profile data: Username, display name, bio, URL, photo, ID
• Comment data: Text, IDs, timestamp, likes, replies
• Output: Structured dataset records
• Primary use: Snapchat profile and Spotlight comment research

• contact me by email : alphascraper69@gmail.com