Snapchat User Spotlight Scraper

Snapchat User Spotlight Scraper

The Snapchat User Spotlight Scraper is a focused Snapchat Spotlight scraper that extracts public Spotlight posts and structured metadata from Snapchat user profiles. It solves the manual, time-consuming process of collecting Spotlight video URLs, captions, thumbnails, and engagement stats by automating extraction at scale. Built for marketers, developers, data analysts, and researchers, this Snapchat user spotlight scraper delivers clean datasets for influencer research, competitor intel, and content analysis — enabling repeatable, high-volume Snapchat Spotlight data extraction workflows. 🚀

What data / output can you get?

Use this Snapchat Spotlight data extractor to collect structured, per-video records from public Spotlight profiles. Below are the core output fields saved to the dataset:

Field	Description	Example value
username	Snapchat username associated with the video	"realmadrid"
videoTitle	Title/name of the video	"Spotlight Snap"
description	Video caption/description	"#RealMadrid"
viewCount	Number of views	12995
shareCount	Number of shares	13
commentCount	Number of comments	31
boostCount	Number of boosts	1311
recommendCount	Number of recommendations	124
uploadDate	Upload timestamp in milliseconds	1766173649643
thumbnailUrl	Thumbnail image URL	"https://..."
contentUrl	Direct video content URL	"https://..."
deeplink	Deep link to open the video in Snapchat	"https://..."
hashtags	Array of hashtags used in the video	["#RealMadrid"]

Bonus fields included for richer analysis:

• uploadDateMs (string timestamp), durationMs, width, height, rawData (original payload), and success indicator.
• Export results easily from the Apify dataset to CSV or JSON for downstream analysis and reporting.

Key features

• ⚡️ Automatic proxy fallback & resilience – Built-in fallback from direct connection → datacenter → residential proxies with retries, helping you keep extraction running even if requests get blocked.
• 📦 Batch processing for scale – Processes multiple usernames concurrently to speed up large collections, ideal for a Snapchat Spotlight bulk downloader workflow centered on content URLs.
• 💾 Incremental dataset saving – Each video item is pushed to the Apify dataset as soon as it’s parsed, ensuring progress is preserved during long runs.
• 📊 Engagement-rich metadata – Captures views, shares, comments, boosts, plus recommendCount, alongside thumbnails, direct content URLs, deeplinks, and hashtags for robust Snapchat Spotlight analytics scraping.
• 🔍 Public-only, no login – Targets publicly available Spotlight content; no authentication or cookies required.
• 📤 Flexible data export – Export structured results to JSON or CSV from the dataset for BI tools or pipelines.
• 🛡️ Robust error handling & logging – Clear logs with block detection, retries, and per-username error records ensure transparency during runs.

How to use Snapchat User Spotlight Scraper - step by step

1. Sign in to your Apify account and open the Apify Console.
2. Navigate to Actors and select “snapchat-user-spotlight-scraper”.
3. In the Input tab, add your Snapchat targets in startUrls:
   • Supports usernames like "realmadrid" or "@realmadrid"
   • Or profile URLs like "https://www.snapchat.com/@realmadrid"
4. (Optional) Configure proxyConfiguration if you anticipate blocks. By default, no proxy is used; the actor can fall back to datacenter and residential proxies automatically.
5. Click Start to run the actor. Watch the live logs to monitor progress.
6. When finished, open the Dataset tab to review structured results.
7. Export the data to JSON or CSV for analysis, dashboards, or integrations.

Pro tip: Use the contentUrl field as part of your Snapchat Spotlight video downloader workflow to programmatically fetch media with your own tools.

Use cases

Use case name	Description
Social media analytics + KPI tracking	Measure viewCount, shareCount, commentCount, and boostCount across creators to benchmark performance over time.
Influencer research + talent discovery	Identify creators with consistently high engagement by scraping Snapchat Spotlight videos and analyzing per-video stats.
Competitor analysis + content strategy	Monitor competitor profiles at scale and mine hashtags, descriptions, and thumbnails to inform your creative approach.
Academic research + trend analysis	Collect public Spotlight datasets for studying media trends, virality, and platform dynamics.
API pipeline + data enrichment	Feed structured results (CSV/JSON) into your warehouse or BI stack for automated reporting and enrichment jobs.
Hashtag intelligence for campaigns	Use the hashtags field to evaluate theme clusters and campaign performance across creators and time windows.

Why choose Snapchat User Spotlight Scraper?

Purpose-built for precision, automation, and reliability, this Snapchat Spotlight scraping tool focuses on clean output and production-ready runs.

• ✅ Accurate public data extraction with structured fields ready for analysis
• 🌍 No login required — works with public Snapchat Spotlight profiles
• 📈 Scales to multiple usernames in parallel for high-throughput collection
• 🔌 Developer-friendly datasets — export to JSON/CSV and plug into pipelines
• 🛡️ Safer alternative to unstable browser extensions; robust proxy fallback and retries included
• 💰 Cost-effective for recurring runs and ongoing analytics workflows
• ⚙️ Production reliability with clear logging and item-by-item saving

In short, this Snapchat Spotlight crawler focuses on stable, structured extraction vs. brittle, extension-based approaches.

Is it legal / ethical to use Snapchat User Spotlight Scraper?

Yes — when used responsibly. This actor accesses publicly available Snapchat Spotlight posts and does not log in or access private content.

Guidelines for compliant use:

• Scrape only public profiles and publicly visible Spotlight videos.
• Respect Snapchat’s Terms of Service and platform rate limits.
• Ensure your use complies with applicable laws (e.g., GDPR, CCPA).
• Do not harvest or misuse personal or private data.
• Consult your legal team for edge cases or specific compliance needs.

Input parameters & output format

Below is the exact input accepted by the actor along with the dataset output structure it produces.

Example JSON input

{
  "startUrls": [
    "https://www.snapchat.com/@realmadrid",
    "fcbarcelona",
    "@manchesterunited"
  ],
  "proxyConfiguration": {
    "useApifyProxy": false
  }
}

Input fields

Field	Type	Description	Default	Required
startUrls	array	List of Snapchat usernames (e.g., "realmadrid") or profile URLs (e.g., "https://www.snapchat.com/@realmadrid").	Prefill: ["https://www.snapchat.com/@realmadrid"]	Yes
proxyConfiguration	object	Choose which proxies to use. By default, no proxy is used. If Snapchat blocks the request, it will automatically fallback to datacenter proxy, then residential proxy with retries.	Prefill: {"useApifyProxy": false}	No

Note: The actor accepts usernames, "@usernames", and full profile URLs in startUrls.

Example JSON output (successful video item)

{
  "username": "realmadrid",
  "videoTitle": "Spotlight Snap",
  "description": "#RealMadrid",
  "viewCount": 12995,
  "shareCount": 13,
  "commentCount": 31,
  "boostCount": 1311,
  "recommendCount": 124,
  "uploadDate": 1766173649643,
  "uploadDateMs": "1766173649643",
  "thumbnailUrl": "https://example.com/thumbnail.jpg",
  "contentUrl": "https://example.com/video.mp4",
  "deeplink": "https://www.snapchat.com/spotlight/abc123",
  "hashtags": ["#RealMadrid"],
  "durationMs": "50120",
  "width": 540,
  "height": 960,
  "rawData": {
    "...": "Original Snapchat payload for the item"
  },
  "success": true
}

Example JSON output (error item)

{
  "username": "unknownuser123",
  "success": false,
  "error": "No spotlight data found",
  "videoCount": 0
}

Output fields (successful item):

• username, videoTitle, description
• viewCount, shareCount, commentCount, boostCount, recommendCount
• uploadDate (ms), uploadDateMs (string)
• thumbnailUrl, contentUrl, deeplink, hashtags
• durationMs, width, height
• rawData (full raw item object), success (true)

Output fields (error item):

• username, success (false), error (message), videoCount (0)

FAQ

Do I need to log in to scrape Snapchat Spotlight profiles?

No. The actor targets publicly available Spotlight content and does not require authentication. It fetches public profile pages and extracts structured metadata directly.

Can this work as a Snapchat Spotlight video downloader?

It provides the contentUrl for each video, which you can use in your own pipeline to download media. The actor itself focuses on extraction and structured data output rather than performing the download.

How many usernames can I process at once?

There is no hard-coded limit in the actor. It processes multiple usernames concurrently, and total run time will scale with the number of profiles and network conditions.

What happens if requests get blocked?

The actor includes automatic proxy fallback logic. It starts with a direct connection and can fall back to datacenter and then residential proxies with retries to maintain continuity.

What if a username has no Spotlight videos?

The actor records an error item in the dataset for that username with success: false and videoCount: 0, then continues with other usernames. This ensures your run completes with a clear audit trail.

Which data formats can I export?

You can export the Apify dataset results to CSV or JSON. This supports Snapchat Spotlight data export CSV workflows for analytics and reporting.

Does it scrape hashtags and engagement metrics?

Yes. It extracts hashtags plus engagement metrics such as viewCount, shareCount, commentCount, boostCount, and recommendCount for each video item found.

Is private or paywalled content supported?

No. The actor only accesses public data. It does not scrape private accounts, authenticated pages, or password-protected content.

Closing CTA / Final thoughts

The Snapchat User Spotlight Scraper is built for structured, reliable extraction of public Snapchat Spotlight videos and their metadata. It delivers engagement-rich fields, media links, and hashtags — all saved incrementally to an export-ready dataset.

Whether you’re a marketer, developer, data analyst, or researcher, you can automate Snapchat Spotlight scraping, export to CSV/JSON, and plug results into your reporting or enrichment workflows. Developers can orchestrate runs via the Apify platform and integrate datasets into pipelines for scalable analysis.

Start extracting smarter Snapchat Spotlight insights today and turn public profile data into actionable analytics.