Free Trial for "AI BPO Scraping Agency Service" to Outsource Data Collection with AI Begins
AI Security Solutions Co., Ltd. has launched a free trial for its "AI BPO Scraping Agency Service," which automates web data collection and formatting tasks using AI and scraping technology. This service aims to address the significant effort required for data collection by offering a hybrid approach of AI automation and human verification, delivering ready-to-use data from collection to database registration.
📋 Article Processing Timeline
- 📰 Published: April 1, 2026 at 19:20
- 🔍 Collected: April 1, 2026 at 16:47
- 🤖 AI Analyzed: April 21, 2026 at 11:40 (474h 52m after Collected)
AI Security Solutions Co., Ltd. (Headquarters: Tokyo, hereinafter "the Company") announced today the start of a free trial and free consultation for its "AI BPO Scraping Agency Service," which outsources web data collection and formatting tasks.
This service combines AI and scraping technology to automate and outsource web data collection tasks such as competitor website price monitoring, automatic collection of job information, regular acquisition of real estate data, and monitoring of news and SNS. The collected data is delivered in a ready-to-use state, from cleansing and formatting to database registration. The free trial allows users to verify accuracy and update frequency using actual collection targets in advance.
## Background and Challenges
While the importance of data-driven decision-making is increasing, collecting the necessary data itself requires significant effort.
- Manual competitor price research and news collection by staff consumes several hours daily.
- Data formats differ across sites, taking half a day just to transfer and format data in Excel.
- Scraping requires technical knowledge, making in-house handling difficult and external outsourcing costly.
Through its past business support, the Company has determined that data collection and formatting is an area where effects can be achieved quickly, leading to the launch of this service.
## Service Overview
Service Name: AI BPO Scraping Agency Service
Launch Date: April 1, 2026
Service Model: BPO type (usage-based billing according to workload)
Free Trial: One-week verification using actual collection targets
Supported Format: Specification of collection target URL and data items
Delivery Format: CSV, Excel, database registration, API integration
## Service URL
https://ai-prototype.jp/bpo/lp/10
## Supported Operations
- Competitor website price and inventory monitoring
- Automatic collection of job and recruitment information
- Regular acquisition of real estate and property data
- Monitoring of news, SNS, and reviews
- Batch collection of e-commerce and product information
- Cleansing, formatting, and DB registration of collected data
## Features
- **① Free trial verifiable with actual business operations**
Verification using actual collection targets is possible, allowing users to confirm data accuracy and update frequency before implementation.
- **② BPO type requiring no system implementation**
No new system development or setup is required, allowing use without significant changes to existing workflows.
- **③ Hybrid processing with AI and human involvement**
In addition to automated processing by AI, dedicated staff conduct checks to ensure accuracy and stability.
- **④ End-to-end service from collection to DB registration**
Not only data collection but also deduplication, format unification, and database registration are handled.
This service combines AI and scraping technology to automate and outsource web data collection tasks such as competitor website price monitoring, automatic collection of job information, regular acquisition of real estate data, and monitoring of news and SNS. The collected data is delivered in a ready-to-use state, from cleansing and formatting to database registration. The free trial allows users to verify accuracy and update frequency using actual collection targets in advance.
## Background and Challenges
While the importance of data-driven decision-making is increasing, collecting the necessary data itself requires significant effort.
- Manual competitor price research and news collection by staff consumes several hours daily.
- Data formats differ across sites, taking half a day just to transfer and format data in Excel.
- Scraping requires technical knowledge, making in-house handling difficult and external outsourcing costly.
Through its past business support, the Company has determined that data collection and formatting is an area where effects can be achieved quickly, leading to the launch of this service.
## Service Overview
Service Name: AI BPO Scraping Agency Service
Launch Date: April 1, 2026
Service Model: BPO type (usage-based billing according to workload)
Free Trial: One-week verification using actual collection targets
Supported Format: Specification of collection target URL and data items
Delivery Format: CSV, Excel, database registration, API integration
## Service URL
https://ai-prototype.jp/bpo/lp/10
## Supported Operations
- Competitor website price and inventory monitoring
- Automatic collection of job and recruitment information
- Regular acquisition of real estate and property data
- Monitoring of news, SNS, and reviews
- Batch collection of e-commerce and product information
- Cleansing, formatting, and DB registration of collected data
## Features
- **① Free trial verifiable with actual business operations**
Verification using actual collection targets is possible, allowing users to confirm data accuracy and update frequency before implementation.
- **② BPO type requiring no system implementation**
No new system development or setup is required, allowing use without significant changes to existing workflows.
- **③ Hybrid processing with AI and human involvement**
In addition to automated processing by AI, dedicated staff conduct checks to ensure accuracy and stability.
- **④ End-to-end service from collection to DB registration**
Not only data collection but also deduplication, format unification, and database registration are handled.