Hammad Sajjad developed the ScrapyWebReader Integration for the run-llama/llama_index repository, focusing on expanding the framework’s web data extraction capabilities. Leveraging Python and the Scrapy library, he enabled users to extract data from websites using either Scrapy spiders or project paths, feeding the results directly into LlamaIndex ingestion pipelines. This integration addressed the need for automated, scalable web data collection and improved compatibility with diverse data sources. Hammad’s work included implementing robust API endpoints, adding comprehensive tests, and scaffolding documentation to support adoption. The project demonstrated depth in API development, data extraction, and web scraping within a production context.