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Extractor API VS Apache Solr

Compare Extractor API VS Apache Solr and see what are their differences

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Extractor API logo Extractor API

Extract clean text from thousands of articles with a simple API request or use our visual web tool - we'll handle IP rotation, retries and everything else. Features include news search, translation, and ML-powered text extraction.

Apache Solr logo Apache Solr

Solr is an open source enterprise search server based on Lucene search library, with XML/HTTP and...
  • Extractor API Landing page
    Landing page //
    2023-07-11

Features

IP Rotation & JS Rendering

We automatically apply IP rotation and retries to every request (Free Plan included), and all our paid plans allow you to render JavaScript before extraction.

Search Country News

Free and paid plans can search the world's news with our News Search endpoint. Every request returns up to 100 news items, including metadata. Collect the URLs - then extract clean text with our Extractor endpoint.

Clean Text & Metadata

Extract clean text, HTML, image and video links, authors, title, publication date, html, and raw text. Choose only the fields you need.

API Not Required

You can extract data from up to 1,000 URLs at a time using our online visual extractor - not just the API. The visual extractor is included in all plans.

Store Your Results

Both the API and the visual extractor allow you to store your results in Jobs. Assign your target URLs a job name, then see their progress online or programmatically. Once the job is done, you can retrieve the results any time.

Translate Extracted Text

All paid accounts are able to translate to and from 55 languages. Swahili to English, Vietnamese to French, or anything you want - extract clean text and translate it with a single API call.

  • Apache Solr Landing page
    Landing page //
    2023-04-28

Extractor API

$ Details
freemium
Platforms
Windows Browser Web Android iOS Mac OSX Google Chrome Linux Firefox Cross Platform REST API Safari JavaScript iPhone Chrome OS Internet Explorer Windows Phone Python Node JS Ruby Java C PHP .Net Go Swift C++ Docker ReactJS TypeScript
Release Date
2020 March

Apache Solr

Pricing URL
-
$ Details
Platforms
-
Release Date
-

Extractor API features and specs

  • Robust API
    We handle IP rotation, retries and JavaScript rendering - you get clean text.
  • News Search
    Search the world's news with a single API call - up to 100 results per request.
  • Extract Everything
    Extract clean text, translate it into 50+ languages and get tons of metadata.
  • Visual Extraction
    Don't want to use the API? Use our visual online tool to paste or upload URLs!
  • Persistent Jobs
    Both our API and online tool allow you to save extracted text to your Jobs page.
  • Quick Start
    Check out the Getting Started guide for a quick overview of the API and the FAQ for more info.

Apache Solr features and specs

  • Scalability
    Apache Solr is highly scalable, capable of handling large amounts of data and numerous queries per second. It supports distributed search and indexing, which allows for horizontal scaling by adding more nodes.
  • Flexibility
    Solr provides flexible schema management, allowing for dynamic field definitions and easy handling of various data types. It supports a variety of search query types and can be customized to meet specific search requirements.
  • Rich Feature Set
    Solr comes with a wealth of features out-of-the-box, including faceted search, result highlighting, multi-index search, and advanced filtering capabilities. It also offers robust analytics and joins support.
  • Community and Documentation
    Being an open-source project, Apache Solr has a strong community and comprehensive documentation, which ensures continuous improvements, updates, and extensive support resources for developers.
  • Integrations
    Solr integrates well with a variety of databases and data sources, and it provides REST-like APIs for ease of integration with other applications. It also has strong support for popular programming languages like Java, Python, and Ruby.
  • Performance
    Solr is built on top of Apache Lucene, which provides high performance for searching and indexing. It is optimized for speed and can handle rapid data ingestion and real-time indexing.

Possible disadvantages of Apache Solr

  • Complexity
    The initial setup and configuration of Apache Solr can be complex, particularly for those not already familiar with search engines and indexing concepts. Managing a distributed Solr installation also requires considerable expertise.
  • Resource Intensive
    Running Solr, especially for large datasets, can be resource-intensive in terms of both memory and CPU. It requires careful tuning and adequate hardware to maintain performance.
  • Learning Curve
    The learning curve for Apache Solr can be steep due to its extensive feature set and the complexity of its configuration options. New users may find it challenging to get up to speed quickly.
  • Consistency Issues
    In distributed setups, ensuring data consistency can be challenging, particularly for users unfamiliar with managing clustered environments. There may be delays or issues with synchronizing indexes across multiple nodes.
  • Maintenance
    Ongoing maintenance of a Solr instance, including monitoring, tuning, and scaling, can be labor-intensive. This requires dedicated effort to keep the system running efficiently over time.
  • Limited Real-time Capabilities
    Although Solr provides near real-time indexing, it may not be as effective as some specialized real-time search engines. For applications requiring truly real-time capabilities, additional solutions might be necessary.

Analysis of Apache Solr

Overall verdict

  • Yes, Apache Solr is generally considered a good option for organizations seeking a reliable, scalable, and flexible search platform. It offers extensive features and is supported by a strong community, making it a solid choice for many use cases.

Why this product is good

  • Apache Solr is highly regarded for its robust full-text search capabilities, scalability, and ease of integration. As an open-source search platform, it is built on Apache Lucene and provides powerful distributed search and indexing, replication, load-balanced querying, and automated failover and recovery. Solr is designed to handle large volumes of data efficiently and supports various data formats with powerful data management features.

Recommended for

    Apache Solr is recommended for organizations that need to implement powerful search capabilities, especially those managing large, complex datasets. It is ideal for businesses that require full-text search features, e-commerce sites, content management systems, and big data applications that demand high query performance and scalability.

Extractor API videos

Extractor API - Visual Extractor Demo

Apache Solr videos

Solr Index - Learn about Inverted Indexes and Apache Solr Indexing

More videos:

  • Review - Solr Web Crawl - Crawl Websites and Search in Apache Solr

Category Popularity

0-100% (relative to Extractor API and Apache Solr)
Data Extraction
100 100%
0% 0
Custom Search Engine
0 0%
100% 100
Web Scraping API
100 100%
0% 0
Custom Search
0 0%
100% 100

User comments

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Reviews

These are some of the external sources and on-site user reviews we've used to compare Extractor API and Apache Solr

Extractor API Reviews

Creating an Automated Text Extraction Workflow — Part 1
The 600 lbs gorilla, Diffbot, comes with a swath of solid APIs but starts at $300, which is ridiculous if you’re just extracting text. Scrapinghub’s News API, Extractor API, and plenty more are better priced if you want an affordable alternative; plus, Extractor API includes a visual online tool for extracting hundreds of articles at once, if you want to do things via UI.
Source: medium.com

Apache Solr Reviews

Top 10 Site Search Software Tools & Plugins for 2022
Apache Solr is optimized to handle high-volume traffic and is easy to scale up or down depending on your changing needs. The near real-time indexing capabilities ensure that your content remains fresh and search results are always relevant and updated. For more advanced customization, Apache Solr boasts extensible plug-in architecture so you can easily plug in index and...
5 Open-Source Search Engines For your Website
Apache Solr is the popular, blazing-fast, open-source enterprise search platform built on Apache Lucene. Solr is a standalone search server with a REST-like API. You can put documents in it (called "indexing") via JSON, XML, CSV, or binary over HTTP. You query it via HTTP GET and receive JSON, XML, CSV, or binary results.
Source: vishnuch.tech
Elasticsearch vs. Solr vs. Sphinx: Best Open Source Search Platform Comparison
Solr is not as quick as Elasticsearch and works best for static data (that does not require frequent changing). The reason is due to caches. In Solr, the caches are global, which means that, when even the slightest change happens in the cache, all indexing demands a refresh. This is usually a time-consuming process. In Elastic, on the other hand, the refreshing is made by...
Source: greenice.net
Algolia Review – A Hosted Search API Reviewed
If you’re not 100% satisfied with Algolia, there are always alternative methods to accomplish similar results, such as Solr (open-source & self-hosted) or ElasticSearch (open-source or hosted). Both of these are built on Apache Lucene, and their search syntax is very similar. Amazon Elasticsearch Service provides a fully managed Elasticsearch service which makes it easy to...
Source: getstream.io

Social recommendations and mentions

Based on our record, Apache Solr should be more popular than Extractor API. It has been mentiond 19 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.

Extractor API mentions (3)

  • webscraping for sentiment analysis
    Take a look at our webscraping API - should be able to do what you need it to do. https://extractorapi.com/. Source: over 3 years ago
  • Using ChatGPT to build a database from web scraping?
    If you want to make it easier, we built a text extraction tool that can fit a number of use cases https://extractorapi.com/ people are using it instead of GPT for the scraping and then in certain cases feeding the data that comes from here to some broader app/use case. Just another route! Source: over 3 years ago
  • Text Extraction Tool for Training your ChatGPT app
    I'm looking for input on our tool as a pipeline for text data into your own ChatGPT use case. We know you can use ChatGPT API to do the same task, but we've found that to be costly and time-consuming for the text extraction/scraping portion. We've built a cost-effective and quick tool, Extractor API, for that use case. Would love to see what others are using outside of just relying on ChatGPT for text extraction. Source: over 3 years ago

Apache Solr mentions (19)

  • List of 45 databases in the world
    Solr — Open-source search platform built on Apache Lucene. - Source: dev.to / about 2 years ago
  • Considerations for Unicode and Searching
    I want to spend the brunt of this article talking about how to do this in Postgres, partly because it's a little more difficult there. But let me start in Apache Solr, which is where I first worked on these issues. - Source: dev.to / about 2 years ago
  • Swirl: An open-source search engine with LLMs and ChatGPT to provide all the answers you need 🌌
    Using the Galaxy UI, knowledge workers can systematically review the best results from all configured services including Apache Solr, ChatGPT, Elastic, OpenSearch, PostgreSQL, Google BigQuery, plus generic HTTP/GET/POST with configurations for premium services like Google's Programmable Search Engine, Miro and Northern Light Research. - Source: dev.to / almost 3 years ago
  • Looking for software
    Apache Solr can be used to index and search text-based documents. It supports a wide range of file formats including PDFs, Microsoft Office documents, and plain text files. https://solr.apache.org/. Source: over 3 years ago
  • 'google-like' search engine for files on my NAS
    If so, then https://solr.apache.org/ can be a solution, though there's a bit of setup involved. Oh yea, you get to write your own "search interface" too which would end up calling solr's api to find stuff. Source: over 3 years ago
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What are some alternatives?

When comparing Extractor API and Apache Solr, you can also consider the following products

Microlink - Extract structured data from any website

ElasticSearch - Elasticsearch is an open source, distributed, RESTful search engine.

Schema API - Extract structured content from the semantic web

Algolia - Algolia's Search API makes it easy to deliver a great search experience in your apps & websites. Algolia Search provides hosted full-text, numerical, faceted and geolocalized search.

CRX Extractor - Get any Chrome Extension source code. Learn and hack!

Swiftype - The simplest way to add search to your website or application. Sign up for free.