redditpersonalapi
Reddit Personal Use Data via API
Reddit scraping for personal use is legally gray after ToS changes. Structured API returns thread data via simple Python script for personal monitoring.
7 min
Reddit scraping for personal use entered a legal gray area after the 2024 Terms of Service changes. Pushshift was shut down. PRAW still works but with strict rate limits. A structured API alternative: searching for Reddit content through a SERP API returns thread data indexed by search engines, sidestepping Reddit's API limits entirely. Simple Python scripts can monitor topics, track discussions, and collect threads for personal analysis.
The legal landscape in 2026
- Reddit's ToS explicitly prohibits scraping without a commercial license
- PRAW (official Reddit API) works but is rate-limited to 100 requests/minute for free tier
- Pushshift (the largest Reddit archive) was shut down after Reddit's licensing deal with Google
- Accessing Reddit content via search engine results is a different legal surface than scraping Reddit directly
- The Reddit v. SerpAPI case (oral arguments July 23, 2026) may clarify this further
Personal monitoring via search API
Python
import requests, os, json
from datetime import date
H = {"x-api-key": os.environ["SCAVIO_API_KEY"]}
def monitor_reddit_topic(topic: str, subreddits: list = None):
"""Monitor Reddit discussions about a topic."""
queries = [f"{topic} reddit"]
if subreddits:
queries.extend([f"{topic} site:reddit.com/r/{sub}" for sub in subreddits])
threads = []
for q in queries:
resp = requests.post("https://api.scavio.dev/api/v1/search",
headers=H, json={"query": q, "platform": "reddit"})
for r in resp.json().get("organic_results", []):
threads.append({
"title": r.get("title", ""),
"url": r.get("link", ""),
"snippet": r.get("snippet", ""),
"date": r.get("date", ""),
})
return threads
# Monitor a hobby topic: 2-3 queries = $0.01-0.015
threads = monitor_reddit_topic("mechanical keyboards", ["MechanicalKeyboards"])
for t in threads[:5]:
print(f"{t['title'][:70]}\n {t['url']}")Building a personal Reddit digest
Python
def daily_digest(topics: list):
"""Generate a daily digest of Reddit discussions on your topics."""
digest = {"date": date.today().isoformat(), "topics": {}}
for topic in topics:
threads = monitor_reddit_topic(topic)
digest["topics"][topic] = {
"thread_count": len(threads),
"top_threads": threads[:5],
}
return digest
# Personal interests: 5 topics x 1 query each = $0.025/day
topics = [
"home automation new devices",
"sourdough bread technique",
"running injury prevention",
"python new libraries 2026",
"personal finance FIRE movement",
]
daily = daily_digest(topics)
for topic, data in daily["topics"].items():
print(f"\n{topic}: {data['thread_count']} threads")
for t in data["top_threads"][:2]:
print(f" - {t['title'][:60]}")Saving threads for later reading
Python
def save_digest(digest: dict, filepath: str = "reddit_digest.json"):
"""Append daily digest to a local JSON file."""
try:
with open(filepath) as f:
history = json.load(f)
except FileNotFoundError:
history = []
history.append(digest)
with open(filepath, "w") as f:
json.dump(history, f, indent=2)
# Keep a running archive of interesting threads
save_digest(daily_digest(topics))Cost for personal use
- 5 topics, daily monitoring: 5 queries/day = $0.025/day = $0.75/mo
- 10 topics, daily: $1.50/mo
- All within Scavio's free tier of 250 credits/mo for up to ~8 topics daily
- Compare: Reddit Premium at $6/mo gives ad-free browsing but no API access