Crawling and Data Dashboard Outsourcing Checklist — From Collection to Visualization

Demand for web crawling and data dashboards is surging among businesses that need data-driven decision-making. Here are common scenarios that lead companies to consider outsourcing.

When You Need Web Crawling:

Competitor price monitoring: When you need to track prices of dozens to hundreds of competing products daily in an e-commerce market

Market data collection: When you need regular data collection in specific domains such as real estate, job postings, news, or reviews

Lead generation: When you want to collect publicly available business information, job postings, or event data for sales outreach

Academic and research data: When you need to collect large volumes of papers, patents, or public datasets

When You Need a Data Dashboard:

When you want to monitor data from multiple sources (Google Analytics, internal databases, external APIs) on a single screen

When you need to automatically generate and deliver weekly or monthly reports for executives

When real-time KPI monitoring (revenue, orders, visitors, inventory, etc.) is required

When existing BI tools (Tableau, Power BI) cannot meet your custom requirements

Combining crawling with a dashboard allows you to automate the entire "data collection, processing, visualization, and decision-making" pipeline. This is a specialized domain that is difficult to build internally, making it more efficient to select an experienced outsourcing vendor.

Before engaging a crawling or data dashboard vendor, review the following 10-point checklist. The more clearly you define the project scope, the more accurate the quote will be and the more likely the deliverable will meet your expectations.

Data Collection:

Dashboard:

After completing this checklist and sharing it with the vendor, they can produce an accurate quote and misunderstandings about project scope are minimized. Contact Freesi for assistance in completing the checklist and receiving an optimized quote tailored to your requirements.

Crawling outsourcing costs vary significantly based on target complexity, data volume, and collection frequency.

Simple Crawling (3-8 million KRW)

Collecting structured data from 1-5 sites

Static page (HTML) based collection

Once-daily collection, data volume under 10,000 records

Development timeline: 1-3 weeks

Medium Complexity (8-25 million KRW)

Collecting diverse data from 5-20 sites

Dynamic page (JavaScript rendering) handling required

Login, pagination, and infinite scroll support

Hourly or real-time collection

Development timeline: 3-6 weeks

High Complexity (25-60+ million KRW)

Large-scale collection from dozens to hundreds of sites

Anti-bot (Cloudflare, reCAPTCHA, etc.) circumvention

Distributed crawling infrastructure (proxies, scheduling)

Includes data cleaning, transformation, and loading pipeline

Development timeline: 1-3 months

Additional Dashboard Costs:

Basic dashboard (5-10 charts): 5-15 million KRW

Advanced dashboard (real-time, filters, drill-down): 15-40 million KRW

Monthly operations/maintenance: 500,000-2,000,000 KRW

To keep costs down, start with the minimum set of collection targets and frequencies, validate the results, and then expand.

Even when web crawling is technically feasible, legal and ethical issues exist. When outsourcing, you must assess legal risks and prepare mitigation strategies.

Legal Considerations to Review:

1. robots.txt Compliance

Check the target site's robots.txt file to understand what is permitted and what is blocked.

Ignoring robots.txt can serve as grounds for legal disputes.

Always verify that the vendor checks and complies with robots.txt.

2. Terms of Service

Most site terms of service include clauses prohibiting automated data collection.

Violating terms of service can lead to civil lawsuits, so review them before collecting data.

Whenever possible, the safest approach is to enter into an official API usage agreement with the data provider.

3. Data Protection Law

Collecting personal information (names, phone numbers, emails, etc.) through crawling may violate data protection regulations.

Even publicly available information can create legal issues if "collected and used without the data subject's consent."

For data containing personal information, clearly define the collection purpose, retention period, and disposal method.

4. Copyright Law

Using collected content (articles, images, reviews, etc.) as-is constitutes copyright infringement.

Using data for analysis and statistical purposes is relatively safe, but commercial redistribution is risky.

Mitigation Strategies:

Whenever possible, use official APIs (even if they cost more, they are legally safe).

Set collection frequency and volume at levels that do not burden the target server.

Ask the vendor to conduct a legal risk review and prepare a mitigation plan.

Freesi provides a pre-project legal review for crawling projects, ensuring data collection stays within safe boundaries.

Freesi operates an end-to-end outsourcing service covering everything from data collection (crawling) to visualization (dashboard).

Freesi Crawling/Dashboard Service Features:

Data Collection Design: We support target analysis, legal review, and optimal collection strategy development.

Reliable Crawling Infrastructure: We build stable crawling infrastructure including proxy management, scheduling, and error recovery.

Data Processing Pipeline: Raw collected data is cleaned, transformed, and loaded into an analysis-ready format.

Custom Dashboards: We visualize the metrics needed for your business KPIs and decision-making on a custom dashboard.

Real-Time Alerts: Instant notifications are sent when specific conditions are met (price changes, out-of-stock, anomaly detection, etc.).

Service Process:

1. Free Consultation: Assess your data collection goals and dashboard requirements.

2. Requirements Analysis: Define collection targets, data fields, collection frequency, and dashboard features.

3. Legal Review: Check target sites' robots.txt, terms of service, and personal data issues.

4. Development and Testing: Crawling bot development, data pipeline construction, dashboard development, and integration testing.

5. Operations and Maintenance: SLA-based monitoring and maintenance.

If you want to gain business insights through data collection and visualization, schedule a free consultation with Freesi to define your project scope and estimated costs. Learn more on the [Data Dashboard Service page](/data-dashboard).