The content provided outlines the services, solutions, resources, and company information for a web data extraction and automation company, likely named ScrapeHero. The structure is repetitive, with sections opening and closing, possibly indicating a dropdown or collapsible menu format on a website.

**Services**
The “Services” section highlights the company’s core offerings, focusing on web data extraction and automation. It includes:
– **Web Crawling**: Large-scale data extraction from the web.
– **Custom APIs**: Real-time APIs designed for web scraping.
– **Robotic Process Automation (RPA)**: Solutions to automate repetitive tasks.

**Solutions**
The “Solutions” section provides pre-built tools and datasets for users:
– **ScrapeHero Cloud**: Pre-configured scrapers and APIs for popular websites like Amazon, Zillow, and Yellow Pages.
– **Data Store**: Point of Interest (POI) datasets for thousands of global brands, available for immediate download.
– **Pricing**: Likely a link or section detailing cost structures for the services and solutions.

**Resources**
The “Resources” section offers educational and analytical materials:
– **Insights**: Industry insights and competitive analysis.
– **Tutorials**: Guides and resources for developers and users interested in web scraping.
– **Location Reports**: Intelligence reports on retail brands’ POI data.

**Company**
The “Company” section provides information about ScrapeHero:
– **About Us**: Details about the company’s mission, work, and values.
– **Press**: Mentions of the company in popular media.
– **Careers**: Job openings for those interested in joining the team.

Tutorial to build a scrapy spider to crawl Alibaba.com search results and extract product name, price, seller name, url etc. Available to download on Github

Source: How to scrape Alibaba.com product data using Scrapy | ScrapeHero