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Reddit Community Posts Scraper Pro

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Reddit Community Posts Scraper Pro

Reddit Community Posts Scraper Pro

Reddit community Posts Scraper Pro is developed and well tested scraper that extracts community posts detail information posted in reddit.com. Feel free to use and make best use of this scraper to meet your need and be on top of your competitors.

Pricing

from $9.00 / 1,000 results

Rating

1.0

(3)

Developer

GetDataForMe

GetDataForMe

Maintained by Community

Actor stats

4

Bookmarked

117

Total users

0

Monthly active users

3 days ago

Last modified

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Extract structured Reddit community posts, community metadata, engagement metrics, and post comments from a Reddit subreddit.

Introduction

Reddit Community Posts Scraper Pro extracts structured post data from a specified Reddit community (subreddit). For each collected post, the Actor captures information such as the post title, description, author, upvotes, comment count, post URL, and community-level information.

The Actor also extracts individual comments associated with each post, including the comment author, comment text, and score. The resulting data is stored in an Apify Dataset, making it suitable for research, content analysis, community analysis, and other data-processing workflows.

What Can You Scrape?

The Actor returns one dataset item for each scraped Reddit post.

FieldDescription
titleTitle of the Reddit post.
descriptionText content or description of the Reddit post.
weekly_active_usersNumber of weekly active users shown for the Reddit community.
weekly_contributionsNumber of weekly contributions shown for the Reddit community.
created_dateDate information associated with the Reddit community's creation.
authorUsername of the Reddit user who created the post.
upvotesNumber of upvotes recorded for the post.
comment_countNumber of comments associated with the post.
post_urlURL of the Reddit post.
commentsArray containing the comments collected for the post.
comments[].authorReddit username of the comment author.
comments[].commentText content of the comment.
comments[].scoreScore of the individual comment.
total_commentsTotal number of comments returned for the post.

Comment Structure

Each item in the comments array contains:

comments
├── author
├── comment
└── score

This allows post-level information and individual comment-level information to be kept together in the same dataset record.

Key Features

  • Structured Reddit post extraction
  • Reddit community metadata extraction
  • Post engagement metrics
  • Post author extraction
  • Comment extraction
  • Individual comment scores
  • Configurable item limit
  • Apify Proxy configuration support
  • Structured output in an Apify Dataset

Quick Start

1. Configure the input

Provide the Reddit community URL you want to scrape and specify how many items to collect using itemLimit.

2. Configure proxy settings

If required, configure the Apify Proxy through proxyConfiguration.

3. Start the Actor

Run the Actor with your configured input.

4. Access the results

After the Actor finishes, open the Dataset associated with the run to view and export the collected Reddit post data.

Input

The Actor accepts the following input parameters:

ParameterTypeRequiredDescription
urlStringYesReddit community URL to scrape, such as https://www.reddit.com/r/pokhara/.
itemLimitIntegerYesMaximum number of items to collect.
proxyConfigurationObjectNoApify Proxy configuration used during the run.
proxyConfiguration.useApifyProxyBooleanNoEnables the Apify Proxy.
proxyConfiguration.apifyProxyGroupsArrayNoApify Proxy groups to use. The provided configuration uses the RESIDENTIAL group.

Input Example

{
"itemLimit": 5,
"proxyConfiguration": {
"useApifyProxy": true,
"apifyProxyGroups": [
"RESIDENTIAL"
]
},
"url": "https://www.reddit.com/r/pokhara/"
}

Output

The Actor stores scraped results in an Apify Dataset.

Each dataset item represents a Reddit post and includes post information, community metadata, engagement information, and an array of comments.

Output Structure

Result
├── title
├── description
├── weekly_active_users
├── weekly_contributions
├── created_date
├── author
├── upvotes
├── comment_count
├── post_url
├── comments
│ ├── author
│ ├── comment
│ └── score
└── total_comments

Output Example

{
"title": "View 10 mins apart",
"description": "Found this hidden spot and there were fireflies too!!!!",
"weekly_active_users": "10K",
"weekly_contributions": "599",
"created_date": " Created May 1, 2012\n ",
"author": "Substantial-Skill-62",
"upvotes": "85",
"comment_count": "12",
"post_url": "https://www.reddit.com/r/pokhara/comments/1vzuzxq/view_10_mins_apart/",
"comments": [
{
"author": "ZookeepergameKey6853",
"comment": "the moon is hella bright today",
"score": "3"
},
{
"author": "Substantial-Skill-62",
"comment": "Ah k, bholi jhan khatra dekhcha hola.",
"score": "2"
},
{
"author": "silentrocker",
"comment": "Super fantastic broji!!!",
"score": "2"
},
{
"author": "Substantial-Skill-62",
"comment": "Thankyou!",
"score": "2"
},
{
"author": "Mnkey-D-Luffy",
"comment": "Babal 🔥 ma pani janxu eha .",
"score": "1"
},
{
"author": "Substantial-Skill-62",
"comment": "Haii, jhukkera gayeko thau tara amazing !",
"score": "1"
},
{
"author": "Mnkey-D-Luffy",
"comment": "Ma pani ek choti gako ! Tespaxi kaha bata jharni ni yad xaina .",
"score": "1"
},
{
"author": "princess_sparkle999",
"comment": "Which phone",
"score": "1"
},
{
"author": "Substantial-Skill-62",
"comment": "S23",
"score": "1"
},
{
"author": "Impressive_Drop_6835",
"comment": "OP kun phone ho yo? Dami cha ta photo. Samsung s series jasto cha",
"score": "1"
},
{
"author": "Substantial-Skill-62",
"comment": "Ahh s23 ho. Tara moon nai khatra dekhiraathyo",
"score": "1"
},
{
"author": "lustfullbabe",
"comment": "Anyone up?",
"score": "1"
}
],
"total_comments": 12
}

Use Cases

The extracted Reddit community data can be useful for:

Community Research

Analyze posts and discussions within a specific Reddit community.

Content Analysis

Study post titles, descriptions, authors, engagement, and comment content.

Engagement Analysis

Use upvotes, comment counts, weekly community metrics, and comment scores to analyze engagement patterns.

Discussion Analysis

Examine individual comments together with their authors and scores.

Data Analysis

Export the structured dataset for further processing, reporting, or analysis.

Using the Output

Once a run is complete, the results are available in the Apify Dataset. You can work with the collected data through Apify's available dataset export and API options or pass the data into other processing workflows.

A typical workflow looks like this:

Reddit Community
Reddit Community Posts Scraper Pro
Apify Dataset
JSON / CSV / API
Analysis / Automation / Application

The structured dataset can be incorporated into external data-processing workflows or used as input for other Actors and applications where appropriate.

Proxy Configuration

The Actor supports an optional proxyConfiguration input.

The provided configuration enables the Apify Proxy and specifies the RESIDENTIAL proxy group:

{
"proxyConfiguration": {
"useApifyProxy": true,
"apifyProxyGroups": [
"RESIDENTIAL"
]
}
}

Proxy configuration can be used as part of the Actor's request configuration when collecting data from Reddit.

Proxy availability and scraping behavior can depend on the source website and the configuration used for the Actor run. Proxy usage does not guarantee successful access in every situation.

Complete Input Example

{
"itemLimit": 5,
"proxyConfiguration": {
"useApifyProxy": true,
"apifyProxyGroups": [
"RESIDENTIAL"
]
},
"url": "https://www.reddit.com/r/pokhara/"
}

Complete Output Example

{
"title": "View 10 mins apart",
"description": "Found this hidden spot and there were fireflies too!!!!",
"weekly_active_users": "10K",
"weekly_contributions": "599",
"created_date": " Created May 1, 2012\n ",
"author": "Substantial-Skill-62",
"upvotes": "85",
"comment_count": "12",
"post_url": "https://www.reddit.com/r/pokhara/comments/1vzuzxq/view_10_mins_apart/",
"comments": [
{
"author": "ZookeepergameKey6853",
"comment": "the moon is hella bright today",
"score": "3"
},
{
"author": "Substantial-Skill-62",
"comment": "Ah k, bholi jhan khatra dekhcha hola.",
"score": "2"
},
{
"author": "silentrocker",
"comment": "Super fantastic broji!!!",
"score": "2"
},
{
"author": "Substantial-Skill-62",
"comment": "Thankyou!",
"score": "2"
},
{
"author": "Mnkey-D-Luffy",
"comment": "Babal 🔥 ma pani janxu eha .",
"score": "1"
},
{
"author": "Substantial-Skill-62",
"comment": "Haii, jhukkera gayeko thau tara amazing !",
"score": "1"
},
{
"author": "Mnkey-D-Luffy",
"comment": "Ma pani ek choti gako ! Tespaxi kaha bata jharni ni yad xaina .",
"score": "1"
},
{
"author": "princess_sparkle999",
"comment": "Which phone",
"score": "1"
},
{
"author": "Substantial-Skill-62",
"comment": "S23",
"score": "1"
},
{
"author": "Impressive_Drop_6835",
"comment": "OP kun phone ho yo? Dami cha ta photo. Samsung s series jasto cha",
"score": "1"
},
{
"author": "Substantial-Skill-62",
"comment": "Ahh s23 ho. Tara moon nai khatra dekhiraathyo",
"score": "1"
},
{
"author": "lustfullbabe",
"comment": "Anyone up?",
"score": "1"
}
],
"total_comments": 12
}

Important Notes

  • The url input should contain the Reddit community URL you want to scrape.
  • itemLimit controls the number of items collected by the Actor.
  • The available data depends on the information exposed by the Reddit community and its posts at the time of the run.
  • Post and comment information can vary between Reddit communities and individual posts.
  • Community metrics such as weekly_active_users and weekly_contributions may vary over time.
  • The number of returned comments may vary depending on the available comments for each post.
  • The source website may change its structure or content, which can affect data availability.
  • Proxy configuration is optional and should be configured according to your requirements.
  • Use collected Reddit data responsibly and in accordance with Reddit's applicable terms, policies, and any relevant laws or regulations.

Support

If you encounter an issue with the Actor, contact the support team:

Email: support@getdataforme.com

Website: https://getdataforme.com/contact/

When contacting support, include as much relevant information as possible:

  • Actor name
  • Input configuration
  • Error message
  • Relevant logs
  • Expected result
  • Actual result

Providing these details helps the support team understand and reproduce the issue more efficiently.

Start Scraping

Configure your Reddit community URL, set the desired itemLimit, optionally configure the Apify Proxy, and start the Actor.

Your results will be available in the Apify Dataset as structured Reddit post and comment data, ready for further analysis or integration into your workflow.