Use cases
How teams use Spider to collect data. Each page covers the problem, how Spider handles it, the features involved and starter code. For copy-paste API examples, see Recipes.
AI and LLM training data
Crawl the web at scale and get clean markdown for model training, fine-tuning and embedding pipelines.
RAG applications
Keep a retrieval index current with incremental crawls. LangChain and LlamaIndex integrations included.
Lead generation
Pull contact details, emails and company data from websites with AI extraction pipelines.
Price monitoring
Track competitor prices, stock and promotions across e-commerce sites with structured JSON extraction.
Market research
Collect what news sources, industry publications and competitor sites are saying.
Content aggregation
Build news feeds and curation tools by crawling many sources and extracting clean, deduplicated content.
SEO and SERP tracking
Audit site structure, find broken links, check meta tags and follow search rankings from any location.
Website archiving
Keep a copy of a site for compliance or research, with incremental crawls and full resource capture.