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Java web crawler framework for large-scale, Hadoop-based crawling

Nathan Kessler
By Nathan KesslerUpdated

Each tool is evaluated against our methodology using public docs, vendor demos, and hands-on testing.

Apache Nutch website

What is Apache Nutch?

Apache Nutch is an open-source, Java-based web crawler framework and a top-level Apache Software Foundation project. It's built for large-scale batch crawling that traditionally runs on Apache Hadoop for distributed fetch, parse, and index jobs, though it can also run on a single machine for smaller crawls. It integrates with Apache Tika for content parsing and can index crawled content into Apache Solr or Elasticsearch, and its plugin-based architecture exposes stable extension points for parsers, HTML filtering, indexing, and scoring. The GitHub repo has roughly 3.3k stars and is Apache-2.0 licensed.

Our verdict

Nutch fits teams running Hadoop-scale batch crawls that feed a Solr or Elasticsearch index, since that pipeline is native to the project. It does not render JavaScript by default, and its output is raw or parsed crawl data rather than structured JSON or markdown, so it suits search-index pipelines more than AI data-extraction workflows.

Categories:

Crawling frameworks give engineering teams full control over their pipeline: where it runs, how it scales, and what it collects. The trade is that anti-bot work and infrastructure become your problem rather than a vendor's, which is why they pair well with a proxy network.

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How Apache Nutch compares

Scrapy

Scrapy is a Python crawling framework for structured, large-scale scraping, and a comparable dedicated crawler framework, though it lacks Nutch's native Hadoop-based distributed architecture.

Colly

Colly is a Go crawling framework, a lighter-weight option for teams that don't need Nutch's Hadoop-based distributed infrastructure.

Katana

Katana is a crawling framework built for fast, targeted crawling, a lighter alternative to Nutch's batch-oriented, index-focused pipeline.

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Apache Nutch

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