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https://github.com/datavorous/yars

Yet Another Reddit Scrapper (without API keys) | Scrap search results, posts and images from subreddits filtered by hot, new etc and bulk download any user's data.
https://github.com/datavorous/yars

api data-mining hacktoberfest hoarding json python reddit reddit-api reddit-crawler reddit-downloader reddit-scraper requests scraper webscraping

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Yet Another Reddit Scrapper (without API keys) | Scrap search results, posts and images from subreddits filtered by hot, new etc and bulk download any user's data.

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README 

        


  




# YARS (Yet Another Reddit Scraper)



[![GitHub stars](https://img.shields.io/github/stars/datavorous/yars.svg?style=social&label=Stars&style=plastic)](https://github.com/datavorous/yars/stargazers)






YARS is a Python package designed to simplify the process of scraping Reddit for posts, comments, user data, and other media. The package also includes utility functions. It is built using **Python** and relies on the **requests** module for fetching data from Reddit’s public API. The scraper uses simple `.json` requests, avoiding the need for official Reddit API keys, making it lightweight and easy to use.



## Features



- **Reddit Search**: Search Reddit for posts using a keyword query.

- **Post Scraping**: Scrape post details, including title, body, and comments.

- **User Data Scraping**: Fetch recent activity (posts and comments) of a Reddit user.

- **Subreddit Posts Fetching**: Retrieve posts from specific subreddits with flexible options for category and time filters.

- **Image Downloading**: Download images from posts.

- **Results Display**: Utilize `Pygments` for colorful display of JSON-formatted results.



> [!WARNING]

> Use with rotating proxies, or Reddit might gift you with an IP ban.  

> I could extract max 2552 posts at once from 'r/all' using this.  

> [Here](https://files.catbox.moe/zdra2i.json) is a **7.1 MB JSON** file containing the top 100 posts from 'r/nosleep', which included post titles, body text, all comments and their replies, post scores, time of upload etc.



## Dependencies



- `requests`

- `Pygments`



## Installation



1. Clone the repository:



   ```

   git clone https://github.com/datavorous/YARS.git

   ```

   Navigate inside the ```src``` folder.



2. Install ```uv``` (if not already installed):



   ```

   pip install uv

   ```



3. Run the application:

   ```

   uv run example.py

   ```

   It'll setup the virtual env, install the necessary packages and run the ```example.py``` program.



## Usage



We will use the following Python script to demonstrate the functionality of the scraper. The script includes:



- Searching Reddit

- Scraping post details

- Fetching user data

- Retrieving subreddit posts

- Downloading images from posts



#### Code Overview



```python

from yars import YARS

from utils import display_results, download_image



miner = YARS()

```



#### Step 1: Searching Reddit



The `search_reddit` method allows you to search Reddit using a query string. Here, we search for posts containing "OpenAI" and limit the results to 3 posts. The `display_results` function is used to present the results in a formatted way.



```python

search_results = miner.search_reddit("OpenAI", limit=3)

display_results(search_results, "SEARCH")

```



#### Step 2: Scraping Post Details



Next, we scrape details of a specific Reddit post by passing its permalink. If the post details are successfully retrieved, they are displayed using `display_results`. Otherwise, an error message is printed.



```python

permalink = "https://www.reddit.com/r/getdisciplined/comments/1frb5ib/what_single_health_test_or_practice_has/".split('reddit.com')[1]

post_details = miner.scrape_post_details(permalink)

if post_details:

    display_results(post_details, "POST DATA")

else:

    print("Failed to scrape post details.")

```



#### Step 3: Fetching User Data



We can also retrieve a Reddit user’s recent activity (posts and comments) using the `scrape_user_data` method. Here, we fetch data for the user `iamsecb` and limit the results to 2 items.



```python

user_data = miner.scrape_user_data("iamsecb", limit=2)

display_results(user_data, "USER DATA")

```



#### Step 4: Fetching Subreddit Posts



The `fetch_subreddit_posts` method retrieves posts from a specified subreddit. In this example, we fetch 11 top posts from the "generative" subreddit from the past week.



```python

subreddit_posts = miner.fetch_subreddit_posts("generative", limit=11, category="top", time_filter="week")

display_results(subreddit_posts, "EarthPorn SUBREDDIT New Posts")

```



#### Step 5: Downloading Images



For the posts retrieved from the subreddit, we try to download their associated images. The `download_image` function is used for this. If the post doesn't have an `image_url`, the thumbnail URL is used as a fallback.



```python

for z in range(3):

    try:

        image_url = subreddit_posts[z]["image_url"]

    except:

        image_url = subreddit_posts[z]["thumbnail_url"]

    download_image(image_url)

```



### Complete Code Example



```python

from yars import YARS

from utils import display_results, download_image



miner = YARS()



# Search for posts related to "OpenAI"

search_results = miner.search_reddit("OpenAI", limit=3)

display_results(search_results, "SEARCH")



# Scrape post details using its permalink

permalink = "https://www.reddit.com/r/getdisciplined/comments/1frb5ib/what_single_health_test_or_practice_has/".split('reddit.com')[1]

post_details = miner.scrape_post_details(permalink)

if post_details:

    display_results(post_details, "POST DATA")

else:

    print("Failed to scrape post details.")



# Fetch recent activity of user "iamsecb"

user_data = miner.scrape_user_data("iamsecb", limit=2)

display_results(user_data, "USER DATA")



# Fetch top posts from the subreddit "generative" from the past week

subreddit_posts = miner.fetch_subreddit_posts("generative", limit=11, category="top", time_filter="week")

display_results(subreddit_posts, "EarthPorn SUBREDDIT New Posts")



# Download images from the fetched posts

for z in range(3):

    try:

        image_url = subreddit_posts[z]["image_url"]

    except:

        image_url = subreddit_posts[z]["thumbnail_url"]

    download_image(image_url)

```



You can now use these techniques to explore and scrape data from Reddit programmatically.



## Contributing



Contributions are welcome! For feature requests, bug reports, or questions, please open an issue. If you would like to contribute code, please open a pull request with your changes.



### Our Notable Contributors