Apache Solr

How to use Apache Solr in a web scraping pipeline

Apache Solr is a search server built on Lucene with fielded queries and faceted search. It can index text and structured attributes extracted from pages so users can explore a collected corpus.

A practical workflow

1. A separate crawler and parser produce documents with source URLs, titles, body text and stable identifiers.
2. Your indexing process maps those fields into a Solr schema and chooses the relevant text analysis for the content.
3. A search application queries the collection, applies filters or facets and returns results linked to their source records.

When it fits

Use it when search over your own collected data needs deliberate field modeling and relevance tuning. Test tokenization and language behavior on actual extracted documents, especially when the corpus mixes prose, identifiers and product attributes.

Boundaries

Solr does not by itself define the crawl or extraction logic. Operate the index and ingestion path separately, retain authoritative content elsewhere and handle recrawls and deletions explicitly. A searchable document is not necessarily fresh, complete or correctly parsed.