What will the internal crawling team be doing a year from now?
"Creating a crawler is quick, but as you maintain it, one developer ends up being fully occupied."
In an era where data has become a core asset of businesses, many large companies ambitiously establish their own data collection (Crawling) teams. However, a year later, the engineers of those teams often find themselves exhausted in a consuming battlefield of 'IP blocking' and 'CAPTCHA unlocking.'
- Every time the site structure changes, the crawler needs to be modified, and the frequency of these changes is unpredictable.
- The collection environment, including IP blocking, CAPTCHA, and bot detection, is becoming increasingly challenging.
- The cost of manpower dedicated to crawler development, operation, and maintenance is greater than that for data analysis.
- The review-development-test cycle is repeated every time a new site is added.
Today, the most intelligent data teams choose "Buy (validated infrastructure subscription)" over "Build (direct construction)." We have summarized the five key points behind why leading Korean companies such as LG Electronics, Amorepacific, Hyundai Card, and Coway entrust web data collection to external partners.
1. 'Budget Visibility' achieved with zero development costs and monthly subscriptions
The situation most avoided by procurement managers in large companies is 'unpredictable additional budget requirements.' Traditional outsourcing development often continues to demand costs for modifications due to site structure changes and server maintenance even after the project is completed.
- Zero development costs: Hashscraper operates on a monthly subscription model with no one-time development fees, whether you create 10 crawlers or 100.
- Risk transfer: Even if the site logic changes or the collection environment becomes more challenging, Hashscraper bears all the costs of technical adaptation. Clients only need to receive refined data at a fixed cost.
Real case: A global beauty company was exhausted by frequent blocking and maintenance costs while collecting reviews from four e-commerce channels like Coupang and Olive Young. They switched to Hashscraper and were able to reallocate internal developer resources to data analysis. The monthly review analysis volume expanded from 0 to over 5,000.
2. Providing a unique 'SaaS Collection Dashboard' in Korea
Most crawling companies remain in the 'agency' form of coding and delivering files when requested. Hashscraper is a leading Korean company that has transformed data collection into a SaaS (Software as a Service).
- Intuitive management: Users can monitor and control the collection status in real-time on a web dashboard instead of dealing with complex code.
- Minimized operational resources: Internal developers no longer need to open terminals to check the collection status. Even departments like marketing and strategy can directly access data through the dashboard, eliminating inter-departmental bottlenecks.
- Free API provision: Provides an API for integrating collected data into their own systems at no additional cost.
3. Infrastructure optimized for 'Impregnable' channels like Instagram and Coupang
It's not that internal developers can't do it. Places like Instagram, Coupang, and Naver Shopping go beyond technical capabilities due to 'infrastructure battles'.
- Completed pipeline: Hashscraper has already completed a dedicated collection pipeline integrating thousands of dynamic IPs, browser fingerprint spoofing technology, and AI-based CAPTCHA unlocking logic.
- Experience in collecting from over 5,000 sites: Expertise accumulated from various domestic and international platforms significantly reduces response time when dealing with new sites.
- Scalability: Immediate response to daily collection of millions of records is possible without separate infrastructure setup.
Real case: A home appliance company needed three years' worth of competitor review data from six overseas e-commerce sites like Amazon, Costco, and Home Depot for entering the North American bidet market. Internal development couldn't handle the blocking responses from each of the six sites, but Hashscraper utilized existing infrastructure to collect and provide 135,000 pieces of data.
4. Reasonable costs and stability compared to competitors
Comparing Hashscraper with other alternatives in the market makes its position even clearer.
| Comparison | General outsourcing (SI) | Global solutions (Bright Data, etc.) | Hashscraper |
|---|---|---|---|
| Implementation cost | High initial development costs | Developer setup required | Zero initial development costs (subscription) |
| Maintenance | Additional costs for site changes | Must resolve directly | Free maintenance (response within 1 business day) |
| Usability | Manual methods like file transfer | English-based, complex settings | Korean SaaS dashboard & API |
| Technical support | Slow and opaque communication | Time zone and language barriers | Dedicated PO/engineer direct communication |
| Contract flexibility | Long-term contract required | Annual prepayment | Monthly usage, cancel anytime |
5. 'Purity of Technology' created by automated systems
The secret to Hashscraper's ability to serve customers of various sizes, from large corporations to startups, stably lies in the 'automation system that doesn't require human intervention.'
- Automatic monitoring: Detects collection failures and site structure changes in real-time and responds automatically.
- AI-based CAPTCHA unlocking: Automatically handles CAPTCHAs on sites like Naver and Coupang.
- Continuous operation: The more manual work involved, the more errors and risks arise, but automated pipelines operate stably 24/7.
This automation directly translates into reasonable fees and high data quality for customers.
Use cases for Hashscraper
Financial sector regulation/disclosure monitoring: Automatically collect competitor card/insurance product terms changes, financial disclosure data daily, and provide them to internal analysis teams.
Brand reputation/customer response management: Collect customer responses on self/competitor brands from SNS, blogs, communities, and even integrate AI sentiment analysis.
Global e-commerce price/review tracking: Track competitor price changes and review trends on a daily basis from platforms like Amazon, Coupang, and Naver Shopping.
Food/health functional food illegal advertising monitoring: Automatically detect and monitor black keywords, exaggerated advertisements, and black sellers on blogs, SNS, and shopping malls.
How can you receive the collected data?
The collected data is provided in raw data format and can be integrated with the client's internal systems.
- Excel download: Directly download data as Excel/CSV files from the dashboard.
- Automatic email delivery: Automatically deliver collected data via email at specified times.
- API integration: Provides a REST API for automatically fetching collected data to the client's system (free of charge).
- Direct DB loading: Supports loading data directly into the client's DB.
Summary
The competitiveness of large companies lies not in 'who collects data better' but in 'how collected data is transformed into business value.'
Hashscraper takes care of crawler operation, maintenance, and monitoring. Even in the event of platform policy changes or collection errors, clients do not need to handle them directly.
Free your team members from simple repetitive crawling maintenance and infrastructure management. Entrust data sourcing to Hashscraper, which has paved all the ways, and let your team focus on more valuable analysis and decision-making.
Start now
With Hashscraper, you can automatically collect data from various web channels such as SNS, e-commerce, communities, and news.
We offer a free diagnosis of the collection issues you are currently experiencing and allow you to experience the data quality firsthand through PoC (technical verification).
