There's a new crawler in town! Open Crawler allows users to crawl web content and index it into Elasticsearch from wherever they like.

What has changed?

How does it compare to Elastic Crawler?

Requests (n)

So why is it so much faster?

1. The Open Crawler makes significantly fewer indexing requests.

2. Elastic Crawler also performs many search requests, further slowing down performance

3. Open Crawler is simply doing less with crawl results

How do I use it?

1. Build the Docker image and run it

2. Configure the crawler

3. Validate the domain

4. Crawl!

5. Check the content

Feature comparison breakdown

What's next?

Open Crawler released for tech-preview

Learn how to programmatically manage connectors to ingest data into Elasticsearch Serverless.

Prerequisites

Elasticsearch Serverless

Our product catalog

Create a MongoDB connector

Triggering an on-demand sync

Keeping your ES index in sync with source

Sync Rules - Index only what you want

Generate vector embeddings at ingest time

Monitoring your connectors

Tips on automation

Next steps

Appendix

Spin up MongoDB instance with Docker

Elasticsearch Connector API: How to ingest data into Elasticsearch Serverless

How to use the Connector API to ingest data into Elasticsearch Serverless

Learn about full sync and incremental sync for connectors. Discover how incremental sync can boost the performance of Elastic connectors.

Elastic Connectors overview

Connectors content synchronization jobs

1. Full syncs

2. Incremental syncs

Potential optimizations for incremental sync

Fetch fewer documents from 3rd-party systems

Skip download of content of files that haven't changed since previous sync

Skip ingestion of non-modified documents into Elasticsearch

Measuring incremental sync performance

Performance tests

Setup #1 - Google Drive Connector

Setup #2: GitHub connector

Key takeaways

Summary

Elastic Connectors are a type of Elastic integrations that sync data from an original data source to an Elasticsearch index. Connectors enable you to create searchable, read-only replicas of your data sources.

What are Elastic Connectors?

Elastic Connectors: Performance impact of incremental syncs

Learn through an example how to leverage the Elastic Web Crawler to crawl a website, ingest its content & prepare the data for search.

What is the Elastic Web Crawler

Website discovery & web crawler creation

A first crawl

Define crawl rules

Enrich the data extracted by the web crawler

Extract data from custom field

Ingest pipeline to transform data

Enable semantic search with ML Inference pipeline

Test search query

Preparing the web crawler for production deployment

Scheduling

Protected website

Conclusion

The Elastic web crawler is an out-of-the-box tool that enables users to crawl a website and ingest its content into Elasticsearch.

What is the Elastic Web Crawler?

The Elastic web crawler begins each crawl by visiting the entry point URLs. From there, the crawler fetches the content from this webpage and extracts it. The HTML document is transformed into a search document and indexed. Then it follows any links to which that page points to, respecting the rules defined by the user. The new URLs are visited using the same methodology until the crawler has indexed the accessible web pages.

How does the Elastic Web Crawler work?

Web crawler: Add search to a website with the Elastic Web Crawler

Elastic web crawler: Add search to your website

Discover the history of extracting text from binary documents at Elastic and learn about our open-code solution: the Data Extraction Service.

Background: Handling binary documents at Elastic

Relevance

Scale

Speed

Introducing the Data Extraction Service

What’s next?

What’s the long-term dream?

It is a dedicated, standalone server that is capable of taking your binary documents as input (via a REST API) and responding with their plain-text contents, as well as some minimal metadata.

What is the Data Extraction Service at Elastic?

Elasticsearch binary document ingestion & Data Extraction Service

Elasticsearch binary document ingestion: Evolution & the Data Extraction Service

Discover all of the different ways you can ingest data in Elasticsearch for your Search use case

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Ingestion

Elasticsearch Data Ingestion - What's the Best Tool for the Job?

Open Crawler released for tech-preview

How to use the Connector API to ingest data into Elasticsearch Serverless

Elastic Connectors: Performance impact of incremental syncs

Elastic web crawler: Add search to your website

Elasticsearch binary document ingestion: Evolution & the Data Extraction Service