UnitBytes
UnitBytes Enterprise Data Labs
SEO & Market Trends

Reddit Posts & Search Scraper (Fast & Cheap) [From $0.50💰]

The definitive Google Trends automation engine with over 10,600+ successful runs. Extract breakout queries, historical interest curves, regional heatmaps, and real-time trending searches without IP bans.

5 Trend EndpointsBreakout Keywords250+ CountriesFlat Tabular CSV/JSON
Pricing: $0.001 / item
•
Latency: Sub-Second
•
Format: JSON / CSV
normalized_output.json
HTTP 200 OK
{
  "itemType": "post",
  "id": "t3_1x02q4h",
  "title": "Man discovers his parents’ coffee machine used 1TB of data in 10 days",
  "subreddit": "technology",
  "author": "Fleshy_Tendrils",
  "score": 831,
  "upvoteRatio": 0.94,
  "numComments": 147,
  "postType": "link",
  "url": "https://arstechnica.com/gadgets/2026/10/...",
  "permalink": "https://www.reddit.com/r/technology/comments/1x02q4h/man_discovers_his_parents_coffee_machine_used_1tb/",
  "createdAt": "2026-10-07T17:15:39.000000+0000",
  "mediaUrls": [
    "https://i.redd.it/e2q780u08mtd1.jpeg"
  ],
  "scrapedAt": "2026-10-07T20:10:46.000Z"
}
Reddit Posts & Search Scraper (Fast & Cheap) [From $0.50💰] Banner - UnitBytes Enterprise Web Data Engine

Engine Architecture

Key Extraction Capabilities

Built specifically for high-throughput enterprise pipelines with zero credential leakage.

01

5 Complete Endpoints in One Engine

Real-time trends, interest over time (historical), interest by region (sub-regions & cities), related queries, and related topics.

02

Breakout Keyword Detection

Captures surging search queries marked as Breakout (+5000% growth) before they reach peak mainstream saturation.

03

Flat Tabular CSV & Google Sheets Ready

Output is automatically normalized into clean rectangular rows, ready for immediate import into Excel, BigQuery, or Power BI.

04

Zero Compute Fees (PPE)

Built-in residential proxy rotation with zero compute time billing. Only pay for successful events extracted.

Instant Developer Integration

Run in Your Application in 3 Lines

Trigger extractions via the official Apify Client or standard REST endpoints.

Python SDK • pip install apify-client
from apify_client import ApifyClient

client = ApifyClient("YOUR_APIFY_TOKEN")

run_input = {
    "startUrls": [],
    "searchQuery": "artificial intelligence",
    "subreddit": ""
}

run = client.actor("unitbytes/reddit-scraper").call(run_input=run_input)

for item in client.dataset(run["defaultDatasetId"]).iterate_items():
    print(item.get("title"), item.get("url"), item.get("itemType"))

Technical Documentation

Frequently Asked Questions

Q: Why use UnitBytes over unofficial Python libraries like pytrends?

Libraries like pytrends are severely rate-limited by Google (HTTP 429) within minutes. UnitBytes manages residential proxy rotation and request orchestration to guarantee 99.9% uptime at scale.

Q: Can I compare multiple keywords simultaneously?

Yes. Pass up to 5 comparison terms simultaneously to receive normalized relative search volume curves across all queries.

Q: What historical timeframes are available?

All official Google timeframes: past hour, past 4 hours, past day, past 7 days, past 30 days, past 90 days, past 12 months, past 5 years, or full history from 2004 to present.

Q: How are breakout queries formatted?

Queries experiencing exponential growth (+5000% increase) are explicitly tagged with Breakout for instant alert triggers.

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Enterprise SLA & Custom Pipelines

Need Custom Web Data Feeds or Dedicated SLAs?

Our data engineering team provides private cluster deployments, custom webhook integrations, continuous schema monitoring, and high-frequency delivery directly to BigQuery, Snowflake, or AWS S3.

Ready to Deploy Reddit Posts & Search Scraper (Fast & Cheap) [From $0.50💰]?

Start running immediately on UnitBytes Cloud with zero infrastructure setup, or contact our engineering team for dedicated S3/BigQuery delivery pipelines.