Youtube Community Posts & Photos Scraper

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YouTube Community Posts & Photos Scraper Overview

The YouTube Community Posts & Photos Scraper is a powerful Apify Actor designed to extract structured data from YouTube community posts pages. It helps users collect community post content, engagement metrics, images, hashtags, links, and channel metadata from public YouTube channels.

Whether you need a YouTube Community Posts & Photos Scraper for market research, creator monitoring, content analysis, trend tracking, social media intelligence, or business research, this Actor provides a reliable way to gather community post data at scale.

The YouTube Community Posts & Photos Scraper supports channel handles, usernames, channel IDs, and YouTube channel URLs. All supported inputs are automatically normalized into valid YouTube community posts URLs before scraping begins.

The Actor extracts community post information directly from public YouTube channel posts pages and continues pagination until the specified maximum number of posts is reached.

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YouTube Community Posts & Photos Scraper Features

Community Post Extraction

Extract public YouTube community posts from one or multiple channels.

Multiple Input Methods

The YouTube Community Posts & Photos Scraper accepts:

• Channel usernames
• Channel handles
• Channel IDs
• Channel URLs
• Community posts URLs

Automatic URL Normalization

Convert various YouTube channel URL formats into valid community posts URLs automatically.

Community Images & Photos

Extract image attachments from community posts, including high-resolution image URLs when available.

Engagement Metrics

Collect:

• Like counts
• Comment counts
• Vote counts
• Poll information

Channel Metadata

Retrieve channel-related information including:

• Channel name
• Channel ID
• Channel URL
• Channel handle
• Channel thumbnail

Pagination Support

The YouTube Community Posts & Photos Scraper automatically paginates through community posts using YouTube continuation tokens until the desired post limit is reached.

Proxy Fallback Protection

The Actor attempts requests without a proxy first and automatically switches to residential proxies when blocking is detected.

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How to Use the YouTube Community Posts & Photos Scraper

Using the YouTube Community Posts & Photos Scraper is simple:

1. Provide one or more channel handles, usernames, IDs, or URLs.
2. Specify the maximum number of posts to extract.
3. Start the Actor.
4. The Actor identifies unique channels.
5. Community posts pages are fetched.
6. Community posts are extracted.
7. Pagination continues automatically.
8. Structured results are saved to the Apify dataset.

The YouTube Community Posts & Photos Scraper removes duplicate channels automatically when the same channel is provided through multiple input methods.

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YouTube Community Posts & Photos Scraper Data Extraction

The YouTube Community Posts & Photos Scraper extracts a wide range of community post data from public YouTube channels.

Supported extraction includes:

• Community post content
• Community post URLs
• Channel metadata
• Author metadata
• Published text
• Engagement metrics
• Poll information
• Hashtags
• External links
• Attached photos
• Attached image URLs
• Image dimensions
• Scrape timestamps

This makes the YouTube Community Posts & Photos Scraper useful for social media monitoring, creator analytics, content intelligence, audience engagement analysis, trend discovery, and public data collection.

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YouTube Community Posts & Photos Scraper Use Cases

Creator Research

Analyze how creators use community posts to engage their audiences.

Content Strategy Analysis

Track posting patterns, content topics, hashtags, and engagement performance.

Competitor Monitoring

Monitor competitors' community activity and audience interaction.

Social Media Intelligence

Collect structured community post data for reporting and analysis.

Brand Monitoring

Track mentions, links, hashtags, and promotional content.

Market Research

Study community engagement trends across different creator niches.

Academic Research

Gather structured datasets for social media and communication research.

Data Analytics

Feed community post data into dashboards, BI tools, or analytics pipelines.

Automation Workflows

Use the YouTube Community Posts & Photos Scraper inside Apify automation workflows to continuously collect fresh community post data.

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Input Parameters

Input	Type	Required	Default	Description
Channel_usernames	Array	No	[]	List of channel usernames or handles with or without @
channelIds	Array	No	[]	List of YouTube channel IDs beginning with UC
startUrls	Array	No	[]	One or more YouTube channel URLs or posts URLs
maxposts	Integer	No	20	Maximum number of posts to scrape per channel

Supported Channel URL Formats

The YouTube Community Posts & Photos Scraper supports:

https://www.youtube.com/@Handle
https://www.youtube.com/@Handle/posts
https://www.youtube.com/c/CustomName
https://www.youtube.com/user/LegacyName
https://www.youtube.com/channel/UCxxxxxxxx

Handles can also be provided directly:

@MrBeast
MrBeast

Channel IDs are also supported:

UCxxxxxxxxxxxxxxxx

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Example Input

{
  "Channel_usernames": [
    "@loganpaulvlogs",
    "tseries"
  ],
  "channelIds": [
    "UC-lHJZR3Gqxm24_Vd_AJ5Yw"
  ],
  "startUrls": [
    {
      "url": "https://www.youtube.com/@PenMovies/posts"
    }
  ],
  "maxposts": 20
}

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Output Data

The YouTube Community Posts & Photos Scraper generates structured output for every extracted community post.

Field	Type	Description
status	String	Extraction status
post_id	String	Unique community post ID
post_url	String	Community post URL
channel_id	String	YouTube channel ID
channel_name	String	Channel name
channel_url	String	Channel URL
channel_thumbnail_hd_url	String	High-resolution channel thumbnail
author_name	String	Author name
author_url	String	Author URL
author_handle	String	Author handle
post_type	String	Post type detected
attachment_type	String	Attachment category
content_text	String	Community post text
published_time_text	String	Human-readable publish time
published_time	String	Extraction timestamp
like_count	Integer	Like count
like_count_text	String	Like count text
comment_count	Integer	Comment count
comment_count_text	String	Comment count text
hashtags	Array	Extracted hashtags
external_links	Array	External URLs found in content
total_votes	Integer	Poll vote count
is_poll	Boolean	Indicates poll post
is_quiz	Boolean	Quiz flag
comment_threads_url	String	Comment thread URL
detected_language	String	Detected language value
all_images	Array	Attached image information
Full_hd_image_1+	String	High-resolution image URLs
source_url	String	Source channel posts URL
scraped_at	String	Scraping timestamp

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Understanding the Output

The YouTube Community Posts & Photos Scraper returns one dataset item per community post.

Text posts include content, hashtags, engagement metrics, links, and metadata.

Image posts additionally contain image information and high-resolution image URLs when available.

Poll posts include vote-related information and poll indicators.

The output structure is designed for analytics, research, reporting, automation, and database storage.

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Example Output

[
    {
    "status": "Success",
    "post_id": "UgkxB7POmB4C7U0I3kIEWRZpYfE2t-ieP9CA",
    "post_url": "https://www.youtube.com/post/UgkxB7POmB4C7U0I3kIEWRZpYfE2t-ieP9CA",
    "channel_id": "UCX6OQ3DkcsbYNE6H8uQQuVA",
    "channel_name": "MrBeast",
    "channel_url": "http://www.youtube.com/@MrBeast",
    "channel_thumbnail_hd_url": "https://yt3.googleusercontent.com/nxYrc_1_2f77DoBadyxMTmv7ZpRZapHR5jbuYe7PlPd5cIRJxtNNEYyOC0ZsxaDyJJzXrnJiuDE=s900-c-k-c0x00ffffff-no-rj",
    "author_name": "MrBeast",
    "author_url": "http://www.youtube.com/@MrBeast",
    "author_handle": "@MrBeast",
    "post_type": "image",
    "attachment_type": "image",
    "content_text": "Some more fun wedding photos 🥰",
    "published_time_text": "1 month ago",
    "published_time": "2026-08-29T15:41:34Z",
    "like_count": 3,
    "like_count_text": "3",
    "comment_count": 61,
    "comment_count_text": "61",
    "hashtags": [],
    "external_links": [],
    "total_votes": 0,
    "is_poll": false,
    "is_quiz": false,
    "comment_threads_url": "https://www.youtube.com/post/UgkxB7POmB4C7U0I3kIEWRZpYfE2t-ieP9CA",
    "detected_language": "en",
    "all_images": [
      {
        "url_1": "https://yt3.ggpht.com/bFmb7RbyvsNTUS3otE4oc2tqI5CZyl3apwKmjnqnTjFuv1mwxWG7hWlZCuiWlRYrd3oCd_nAtBWVsw=s1600-c-fcrop64=1,00002578ffffda87-rw-nd-v1",
        "width": 1600,
        "height": 1600
      },
      {
        "url_2": "https://yt3.ggpht.com/1Oxcyk2wshlCOoZYiTWUFoixDaomfdtlcIKiGv_ozoT4Lfs9CZx-3VTxbNeQlJOOV_h7CdWjWF8QIA=s1536-c-fcrop64=1,00002000ffffdfff-rw-nd-v1",
        "width": 1536,
        "height": 1536
      },
      {
        "url_3": "https://yt3.ggpht.com/q_WXrPGUBlang4cdYbyfmOLtBvYUw9SGIHXeDg79S2RbLqVQwM94Yz1cDe3r-xtN7Eh8BO_U66xdpA=s1243-c-fcrop64=1,0000126dffffed92-rw-nd-v1",
        "width": 1243,
        "height": 1243
      },
      {
        "url_4": "https://yt3.ggpht.com/8Q3p7-Jgoxdl_DUEW10TCVN9IlH4bdALqgXqQa67aAX66vsZNTUJ6deIN_7hsWWELDqgqDTVPK8P=s945-c-fcrop64=1,00001f14ffffe0eb-rw-nd-v1",
        "width": 945,
        "height": 945
      },
      {
        "url_5": "https://yt3.ggpht.com/cQMWv1Z7gGyL6hcS_gq0qnzAYu32fWH7VVWiFUKlJ5tuSYzOHkOD-i8qnUjHl9BM3O4JoLsWuh5CP2Y=s1600-c-fcrop64=1,0000289effffd761-rw-nd-v1",
        "width": 1600,
        "height": 1600
      },
      {
        "url_6": "https://yt3.ggpht.com/JMZoggM17vtc4ssB2u4rDHPJKyUUHihMxypM_orcMdyIAwHeNockUGAB9UX4mU7LepF2V0UsDveHCA=s1600-c-fcrop64=1,00002aabffffd555-rw-nd-v1",
        "width": 1600,
        "height": 1600
      },
      {
        "url_7": "https://yt3.ggpht.com/B0NfyE7U1BMX151AO2feyeSDhPuJxyzSoF8aMjpI43sHC8hG1jd1h8HN4kH-Ssy6r24lCTbKwnkSbQ=s1391-c-fcrop64=1,00001d86ffffe279-rw-nd-v1",
        "width": 1391,
        "height": 1391
      },
      {
        "url_8": "https://yt3.ggpht.com/SWKVPUHhc6MDW6M14xFCKMIVn8mGZ7sXdB0FbcprFNYu3OBvOD7flK3c16jiOcvbs1pSEvuFS11LYxs=s1536-c-fcrop64=1,00002000ffffdfff-rw-nd-v1",
        "width": 1536,
        "height": 1536
      },
      {
        "url_9": "https://yt3.ggpht.com/7E8dNdAgzEVvk5Ek9HCnrCXzl1dzGd4W2IeU7be6SlVaT4SeKdLjGwdtC5UjlY1W_jjPUoy_4rfhYB8=s1204-c-fcrop64=1,00000b56fffff4a9-rw-nd-v1",
        "width": 1204,
        "height": 1204
      },
      {
        "url_10": "https://yt3.ggpht.com/Q6mSIBC6EeRqdYr22tW8CCQXHr6uWzCKgsavj1BgThze1AjWd4cO-lbMzoaPvW4ThJftbf0DwkvSfbs=s1600-c-fcrop64=1,00002a55ffffd5aa-rw-nd-v1",
        "width": 1600,
        "height": 1600
      }
    ],
    "Full_hd_image_1": "https://yt3.ggpht.com/bFmb7RbyvsNTUS3otE4oc2tqI5CZyl3apwKmjnqnTjFuv1mwxWG7hWlZCuiWlRYrd3oCd_nAtBWVsw=s1600-c-fcrop64=1,00002578ffffda87-rw-nd-v1",
    "Full_hd_image_2": "https://yt3.ggpht.com/1Oxcyk2wshlCOoZYiTWUFoixDaomfdtlcIKiGv_ozoT4Lfs9CZx-3VTxbNeQlJOOV_h7CdWjWF8QIA=s1536-c-fcrop64=1,00002000ffffdfff-rw-nd-v1",
    "Full_hd_image_3": "https://yt3.ggpht.com/q_WXrPGUBlang4cdYbyfmOLtBvYUw9SGIHXeDg79S2RbLqVQwM94Yz1cDe3r-xtN7Eh8BO_U66xdpA=s1243-c-fcrop64=1,0000126dffffed92-rw-nd-v1",
    "Full_hd_image_4": "https://yt3.ggpht.com/8Q3p7-Jgoxdl_DUEW10TCVN9IlH4bdALqgXqQa67aAX66vsZNTUJ6deIN_7hsWWELDqgqDTVPK8P=s945-c-fcrop64=1,00001f14ffffe0eb-rw-nd-v1",
    "Full_hd_image_5": "https://yt3.ggpht.com/cQMWv1Z7gGyL6hcS_gq0qnzAYu32fWH7VVWiFUKlJ5tuSYzOHkOD-i8qnUjHl9BM3O4JoLsWuh5CP2Y=s1600-c-fcrop64=1,0000289effffd761-rw-nd-v1",
    "Full_hd_image_6": "https://yt3.ggpht.com/JMZoggM17vtc4ssB2u4rDHPJKyUUHihMxypM_orcMdyIAwHeNockUGAB9UX4mU7LepF2V0UsDveHCA=s1600-c-fcrop64=1,00002aabffffd555-rw-nd-v1",
    "Full_hd_image_7": "https://yt3.ggpht.com/B0NfyE7U1BMX151AO2feyeSDhPuJxyzSoF8aMjpI43sHC8hG1jd1h8HN4kH-Ssy6r24lCTbKwnkSbQ=s1391-c-fcrop64=1,00001d86ffffe279-rw-nd-v1",
    "Full_hd_image_8": "https://yt3.ggpht.com/SWKVPUHhc6MDW6M14xFCKMIVn8mGZ7sXdB0FbcprFNYu3OBvOD7flK3c16jiOcvbs1pSEvuFS11LYxs=s1536-c-fcrop64=1,00002000ffffdfff-rw-nd-v1",
    "Full_hd_image_9": "https://yt3.ggpht.com/7E8dNdAgzEVvk5Ek9HCnrCXzl1dzGd4W2IeU7be6SlVaT4SeKdLjGwdtC5UjlY1W_jjPUoy_4rfhYB8=s1204-c-fcrop64=1,00000b56fffff4a9-rw-nd-v1",
    "Full_hd_image_10": "https://yt3.ggpht.com/Q6mSIBC6EeRqdYr22tW8CCQXHr6uWzCKgsavj1BgThze1AjWd4cO-lbMzoaPvW4ThJftbf0DwkvSfbs=s1600-c-fcrop64=1,00002a55ffffd5aa-rw-nd-v1",
    "source_url": "https://www.youtube.com/@MrBeast/posts",
    "scraped_at": "2026-08-29T15:41:34Z"
  }
]

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Data Quality and Reliability

The YouTube Community Posts & Photos Scraper is built to maximize extraction reliability.

Automatic Deduplication

Channels submitted through multiple inputs are automatically merged into unique targets.

Continuation Pagination

The Actor uses continuation tokens to fetch additional community posts beyond the initial page.

Structured Output

All extracted information is returned in a machine-readable format suitable for automation.

Residential Proxy Fallback

When YouTube blocking is detected, the Actor automatically retries requests using residential proxies.

Public Data Extraction

The YouTube Community Posts & Photos Scraper works with publicly available community posts and channel information.

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Why Use This YouTube Community Posts & Photos Scraper

The YouTube Community Posts & Photos Scraper offers several advantages:

• Multiple channel input methods
• Community post extraction at scale
• Automatic pagination
• Structured datasets
• Image extraction support
• Poll detection
• Hashtag extraction
• External link extraction
• Automatic URL normalization
• Duplicate channel removal
• Proxy fallback protection
• Automation-friendly output

The YouTube Community Posts & Photos Scraper saves significant time compared with manually collecting community post information.

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API and Automation

The YouTube Community Posts & Photos Scraper can be integrated into broader Apify workflows.

Common automation scenarios include:

• Scheduled community post monitoring
• Creator activity tracking
• Automated reporting
• Social media intelligence pipelines
• Research data collection
• Business intelligence workflows

Because output is structured, the dataset can easily be consumed by external systems, databases, analytics tools, and custom automation processes.

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Frequently Asked Questions

What is the YouTube Community Posts & Photos Scraper?

The YouTube Community Posts & Photos Scraper is an Apify Actor that extracts public YouTube community posts, images, engagement metrics, and channel metadata.

What data can the YouTube Community Posts & Photos Scraper extract?

It can extract post content, photos, hashtags, links, likes, comments, poll information, channel details, and related metadata.

Can I scrape multiple channels at once?

Yes. The YouTube Community Posts & Photos Scraper supports multiple usernames, channel IDs, and URLs simultaneously.

Does the Actor support YouTube handles?

Yes. Handles such as @MrBeast are fully supported.

Can I use channel IDs?

Yes. Channel IDs beginning with UC are supported.

Does the Actor automatically paginate?

Yes. The YouTube Community Posts & Photos Scraper continues pagination using continuation tokens until the configured limit is reached.

Are community post images included?

Yes. Image attachments and high-resolution image URLs are extracted when available.

Can I extract hashtags?

Yes. The Actor extracts hashtags detected within community posts.

Can I collect external links?

Yes. External URLs found in community post content are included in the output.

Does the Actor remove duplicate channels?

Yes. Duplicate channel inputs are automatically consolidated before scraping starts.

What happens if YouTube blocks requests?

The YouTube Community Posts & Photos Scraper automatically retries using residential proxy fallback when blocking is detected.

Is login required?

The Actor is designed to extract publicly available community post information.

What format is returned?

Results are returned as structured dataset records suitable for analytics and automation.

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Support

If you encounter issues, need assistance, or want to report a bug related to the YouTube Community Posts & Photos Scraper, please use the Actor issue reporting channels available through Apify.

When reporting an issue, include:

• Input configuration
• Example channel URL
• Error messages
• Expected behavior

Providing detailed information helps identify and resolve issues faster.

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