APISCRAPY
visit site- $1,000+
- 50 - 249 employees
- Sanford, NC
Client Insights
Industry Expertise
15%
15%
10%
10%
10%
10%
5%
5%
5%
Client Size Distribution
Small Business (<$10M) 25%
Midmarket ($10M - $1B) 35%
Enterprise (>$1B) 40%
Common Project Size
$50K-$199K 2 projects
$200K-$999K 1 project
Clients
- Neho
Highlights from Recent Projects
ApiScrapy completed a data scraping project for an IT services company, where the lead developer was responsible for a team of developers. The company's goal was to scrape data from web, mobile, and TV apps. ApiScrapy was selected through a sample test process and the team of seven members, including a project manager, team lead, and developers, successfully scraped data from over 100 sites. They then cleansed and shared the data after following set business rules and provided a scraper dashboard. The company was satisfied with the results and the smooth process of data delivery.
In a project for a technology manufacturer, ApiScrapy was tasked with automating the data sourcing and workflow process. The manufacturer selected ApiScrapy after a rigorous six-month testing process. The team of seven, including a project lead, data analysts, and a research analyst, successfully completed tasks of data sourcing and scraping, workflow automation, data cleansing and formatting, and API creation and integration. The manufacturer expressed satisfaction with the automation of their data sourcing and workflow process.
ApiScrapy was hired by a logistics company to perform data scraping and market research. The company's Chief Operating Officer sought to scrape data from web, mobile, and TV apps. ApiScrapy was referred to the company and a team of two to five employees was assigned to the project. Their scope of work included identifying key competitors, extracting data on pricing and inventory, and analyzing market trends. The team delivered comprehensive reports, graphs, and tables using advanced scraping tools. The logistics company was extremely impressed with ApiScrapy's work and their commitment to providing accurate and relevant data.