Gain deeper market-driven visibility with our Reddit Scraper, built to capture high-impact discussions, community engagement, and real-time subreddit activity across Reddit. By leveraging Reddit Data Extraction, brands can monitor shifting consumer opinions, detect product demand signals, and uncover competitor conversations instantly. Additionally, Reddit Scraper for Price Intelligence supports identifying pricing-related discussions, deal mentions, discount trends, and customer price sensitivity insights.
Capture newly published posts and discussions in real time using Reddit Scraper, ensuring timely access to active conversations and topic shifts.
Track upvotes, comment depth, awards, and interaction velocity to understand what drives community interest and discussion momentum accurately.
Extract organized posts, comments, user details, and subreddit metadata through Reddit Data Scraper for seamless integration into analytics workflows.
Monitor social engagement trends across subreddits by analyzing post velocity, sentiment indicators, and interaction frequency for smarter campaign planning.
Identify brand mentions, competitor discussions, and customer feedback instantly with Reddit Scraper for Brand Monitoring to protect reputation and respond faster.
Generate structured outputs in JSON, CSV, or API-ready formats to build reliable Reddit Datasets for reporting, modeling, and business intelligence systems.
import requests
import json
HEADERS = {
"User-Agent": "RetailScrapeRedditBot/1.0 (Windows NT 10.0; Win64; x64)"
}
def scrape_reddit_posts(subreddit, limit=5):
url = f"https://www.reddit.com/r/{subreddit}/new.json?limit={limit}"
response = requests.get(url, headers=HEADERS)
if response.status_code != 200:
return {"error": f"Request failed with status code {response.status_code}"}
raw_data = response.json()
posts = []
for item in raw_data.get("data", {}).get("children", []):
post = item.get("data", {})
posts.append({
"Subreddit": post.get("subreddit", "N/A"),
"Title": post.get("title", "N/A"),
"Author": post.get("author", "N/A"),
"Post_URL": f"https://www.reddit.com{post.get('permalink', '')}",
"Upvotes": post.get("ups", 0),
"Comments_Count": post.get("num_comments", 0),
"Created_UTC": post.get("created_utc", "N/A"),
"Is_NSFW": post.get("over_18", False)
})
return posts
# Example subreddit scraping
reddit_subreddit = "technology"
output_data = scrape_reddit_posts(reddit_subreddit, limit=5)
print(json.dumps(output_data, indent=4))
Identify fast-rising discussions, emerging topics, and shifting consumer interests efficiently using Reddit Scraper for Trend Analysis across multiple subreddits.
Track product mentions, competitor comparisons, customer complaints, and reputation signals in real time with Reddit Scraper for Brand Monitoring insights.
Measure community engagement, content performance, and discussion impact across subreddit networks using Reddit Scraper for Social Media Analytics for reporting.
Extract structured discussions, user sentiment, and conversation metadata at scale through Reddit Scraping for Business Insights to support smarter decisions.
Automate large-scale discussion capture using Reddit Web Scraping to collect subreddit threads, posts, comment chains, and engagement signals consistently.
Measure performance, interaction spikes, and audience response patterns by Reddit Scraper for Social Media Analytics for accurate social engagement reporting.
Apply advanced keyword and subreddit filtering with Reddit Scraping for Business Insights to extract valuable consumer intent signals for smarter strategies.
Monitor viral topics, rising communities, and fast-changing discussions using Reddit Scraper for Trend Analysis to detect early market opportunities instantly.
Our Reddit Scraper is designed to support ethical data collection practices by respecting platform policies and publicly available content guidelines.
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