Learn how Actowiz scrapes Steam demo listings and developer contact data to support early access discovery and indie outreach campaigns.
Steam is the largest digital distribution platform for PC gaming, hosting over 50,000 games and thousands of active developers. For publishers, game studios, marketing firms, and indie discoverability platforms, keeping up with new releases, early access titles, and demo versions is crucial for trend analysis, partnerships, and community building.
Unfortunately, Steam's default search and filter tools are not robust enough to support large-scale data analysis, outreach planning, or automated trend alerts. Additionally, contact details of developers and publishers are not readily available in structured format across the platform.
To bridge this gap, Actowiz Solutions developed a powerful and scalable system to scrape Steam game listings, focusing on:
This case study explores how Actowiz helped a gaming platform automate game discovery and scale its indie developer outreach across the Steam ecosystem.
Our client—a company that builds marketing tools for indie game publishers—faced three core challenges:
Steam doesn't offer a single API or public directory where all demo games are listed with filters like:
Manual filtering was time-consuming, and game status often changed weekly, making their datasets outdated within days.
Steam developer pages sometimes include:
but these were inconsistent across listings. Our client needed a unified dataset for outreach and partnership.
Game data needed to be refreshed regularly with:
Manually monitoring these changes wasn’t scalable as the volume of Steam releases continues to grow.
We designed a custom Steam web scraping pipeline to extract, process, and deliver the exact data the client needed—reliably and at scale.
We built a crawler that navigates through:
| Field | Example |
|---|---|
| Game Name | Hollow Hills Demo |
| App ID | 2022450 |
| Release Type | Demo / Early Access |
| Developer Name | Dreamsite Games |
| Publisher | Indie Collective |
| Tags | Horror, Puzzle, Indie |
| Platform | Windows |
| Release Date | Jul 12, 2025 |
From each game's store page, developer page, and SteamDB profile, we extracted:
Using regex and smart parsing, we built structured contact datasets even when fields weren’t clearly labeled.
json
CopyEdit
{
"game_name": "Cyber Drift Demo",
"app_id": "2137900",
"release_type": "Demo",
"release_date": "2025-07-01",
"developer": "DriftStorm Studios",
"publisher": "Neonbyte",
"tags": ["Racing", "Cyberpunk", "Indie"],
"platforms": ["Windows"],
"contact_email": "contact@driftstorm.com",
"website": "https://driftstorm.com",
"discord": "https://discord.gg/driftstorm"
}
To enhance the value of scraped data, Actowiz also added:
Our client used the scraped dataset to:
Result: 24% outreach-to-response rate and 3 successful publishing deals within 60 days of launching the initiative using Actowiz’s data.
| Value | Result |
|---|---|
| Time Saved | 30+ hours/week saved from manual tracking |
| Outreach Boost | 500+ new verified dev contacts per month |
| Genre Insights | Trend reports by category and region |
| Accuracy | 95% match with live Steam status |
| Timeliness | Daily data refresh with alert triggers |
Actowiz scrapes only public Steam web pages. We do NOT:
Data is used for research, outreach, and analytics, not redistribution or API resale.
| Method | Format |
|---|---|
| API | JSON / REST endpoints |
| File Exports | CSV, Excel |
| BI Integration | Power BI, Google Data Studio, Tableau |
| CRM Sync | HubSpot, Notion, Airtable |
| Email Alerts | New demo launches + dev list |
Actowiz’s Steam scraping framework can be expanded to:
AI classification of games by genre/subgenre
Bundle tracking (e.g., Humble Store integration)
Social Sentiment Monitoring via scraped reviews
Trending Tag Detection (e.g., games rising fast in popularity)
Developer Scoring Index based on release cadence, ratings, and social footprint
✨ "1000+ Projects Delivered Globally"
⭐ "Rated 4.9/5 on Google & G2"
🔒 "Your data is secure with us. NDA available."
💬 "Average Response Time: Under 12 hours"
Look Back Analyze historical data to discover patterns, anomalies, and shifts in customer behavior.
Find Insights Use AI to connect data points and uncover market changes. Meanwhile.
Move Forward Predict demand, price shifts, and future opportunities across geographies.
Industry:
Coffee / Beverage / D2C
Result
2x Faster
Smarter product targeting
Operations Manager, Beanly Coffee
✓ Competitive insights from multiple platforms
Industry:
Real Estate
Result
2x Faster
Real-time RERA insights for 20+ states
Data Analyst, Aditya Birla Group
✓ Boosted data acquisition speed by 3×
Industry:
Organic Grocery / FMCG
Result
Improved
competitive benchmarking
Product Manager, 24Mantra Organic
✓ Real-time SKU-level tracking
Industry:
Quick Commerce
Result
2x Faster
Inventory Decisions
Aarav Shah, Senior Data Analyst, Mensa Brands
✓ 28% product availability accuracy
✓ Reduced OOS by 34% in 3 weeks
Industry:
Quick Commerce
Result
3x Faster
improvement in operational efficiency
Business Development Lead,Organic Tattva
✓ Weekly competitor pricing feeds
Industry:
Beverage / D2C
Result
Faster
Trend Detection
Marketing Director, Sleepyowl Coffee
Boosted marketing responsiveness
Industry:
Quick Commerce
Result
Enhanced
stock tracking across SKUs
Growth Analyst, TheBakersDozen.in
✓ Improved rank visibility of top products
Real results from real businesses using Actowiz Solutions
In Stock
₹524
Price Drop + 12 min
in 6 hrs across Lel.6
Price
Drop −12 thr
Improved inventory
visibility & palniring
Actowiz's real-time scraping dashboard helps you monitor stock levels, delivery times, and price drops across Blinkit, Amazon: Zepto & more.
✔ Scraped Data: Price inights Top-slling SKUs
"Actow's helped us reduce out of ststack incidents by 23% within 6 weeks"
✔ Scraped Data, SKU availability, delivery time
With hourly price monitoring, we aligned promotions with competitors, drove 17%
✔ Scraped Data, SKU availability, delivery time
"Actow's helped us reduce out of ststack incidents by 23% within 6 weeks"
✔ Scraped Data, SKU availability, delivery time
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