Custom Drupal Views: Filters, Plugins, and REST Export

Our company is engaged in the development, support and maintenance of sites of any complexity. From simple one-page sites to large-scale cluster systems built on micro services. Experience of developers is confirmed by certificates from vendors.

Development and maintenance of all types of websites:

Informational websites or web applications
Business card websites, landing pages, corporate websites, online catalogs, quizzes, promo websites, blogs, news resources, informational portals, forums, aggregators
E-commerce websites or web applications
Online stores, B2B portals, marketplaces, online exchanges, cashback websites, exchanges, dropshipping platforms, product parsers
Business process management web applications
CRM systems, ERP systems, corporate portals, production management systems, information parsers
Electronic service websites or web applications
Classified ads platforms, online schools, online cinemas, website builders, portals for electronic services, video hosting platforms, thematic portals

These are just some of the technical types of websites we work with, and each of them can have its own specific features and functionality, as well as be customized to meet the specific needs and goals of the client.

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Custom Drupal Views: Filters, Plugins, and REST Export
Medium
from 1 day to 3 days
Frequently Asked Questions

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From our practice: a client wants a price range filter, but Drupal only offers a text field. Or need to display products from a custom table, but Views only works with entities. In such cases we develop custom plugins — and it's faster than it seems. Over 8 years of experience in Drupal allows us to implement such tasks turnkey in 2–3 days. The performance of a custom solution is 3 times higher than similar via Preprocess or template hacks. And if a REST API for external systems is needed — Views provides ready JSON export with CORS configuration in half an hour.

Why Views Requires Customization?

Standard Views covers 80% of tasks — filters, sorts, pagination, export. The remaining 20% are custom logic: filter by related entities with aggregation, output data from external API, non-standard row format. Without code these tasks are either unsolvable or require template hacks that kill performance. A custom plugin works 3 times faster than a similar solution via Preprocess. For example, a typical problem is INP (Interaction to Next Paint) above 200 ms when rendering a complex list. A proper row plugin with node tag caching reduces INP to 50 ms.

How to Create a Custom Filter in Half a Day?

The fastest way is hook_views_query_alter(). Suppose you need to filter products by price from and to. Pass GET parameters price_from and price_to, add conditions to the query. This does not require creating a plugin, but the logic remains in the module. For reusability we write a filter plugin with @ViewsFilter annotation. This approach ensures clean architecture and the ability to test the filter separately. We use PHP 8.3+ with typing and strict types — this reduces bugs at review stage.

What If Standard Views Doesn't Work with a Custom Table?

If your data is stored in a separate table (e.g., product_stats), Views won't see it by default. You need to register the table via hook_views_data(): specify base field, relationships to node_field_data, and data types for each column. After that the table becomes available in UI. Then write filter and sort plugins if the data type is non-standard. In one project we connected a custom table with stock and discounts exactly this way — it took 4 hours including tests.

How We Do It: Tech Stack and Case Study

We use Drupal 10/11, PHP 8.3+, Drush for config export. Example from our practice: an online store needed a custom block "Discounted products" with a filter by discount percentage and sorting by stock quantity. Standard Views cannot work with custom table product_stats. We registered the table via hook_views_data(), wrote a filter plugin for discount percentage and a sort plugin for stock. Result: block renders in 40 ms, cached by node tags.

Configuration of such View in YAML:

# views.view.discount_products.yml
id: discount_products
label: 'Discounted products'
module: views
description: ''
base_table: product_stats
base_field: id
display:
  default:
    display_options:
      fields:
        title:
          id: title
          table: node_field_data
          field: title
          relationship: nid
        price:
          id: price
          table: node__field_price
          field: field_price_value
        discount_percent:
          id: discount_percent
          table: product_stats
          field: discount_percent
        stock:
          id: stock
          table: product_stats
          field: stock_quantity
      filters:
        status:
          value: '1'
        discount_percent:
          id: discount_percent
          table: product_stats
          field: discount_percent
          operator: '>=,'
          value: { min: '', max: '' }
          expose:
            operator: 'discount_percent_op'
            identifier: discount
      sorts:
        stock_quantity:
          order: ASC
      pager:
        type: some
        options: { items_per_page: 10 }
      relationships:
        nid:
          id: nid
          table: product_stats
          field: node_id
          relationship: node_field_data
          required: true
      style:
        type: html_list
      row:
        type: fields
  block_1:
    display_plugin: block

Hook for custom filter:

<?php

use Drupal\views\ViewExecutable;
use Drupal\views\Plugin\views\query\QueryPluginBase;

function my_module_views_query_alter(ViewExecutable $view, QueryPluginBase $query): void {
  if ($view->id() !== 'discount_products') return;

  $discount = \Drupal::request()->query->get('discount');
  if (!empty($discount['min'])) {
    $query->addWhereExpression(0, 'product_stats.discount_percent >= :min', [':min' => (float) $discount['min']]);
  }
  if (!empty($discount['max'])) {
    $query->addWhereExpression(0, 'product_stats.discount_percent <= :max', [':max' => (float) $discount['max']]);
  }
}

Row plugin for product card:

<?php

namespace Drupal\my_module\Plugin\views\row;

use Drupal\views\Plugin\views\row\RowPluginBase;
use Drupal\views\ResultRow;

/**
 * @ViewsRow(
 *   id = "product_card",
 *   title = @Translation("Product card"),
 *   help = @Translation("Renders products as cards"),
 *   display_types = {"normal"},
 * )
 */
class ProductCardRow extends RowPluginBase {

  public function render(ResultRow $row): array {
    $node = $row->_entity;
    $view_builder = \Drupal::entityTypeManager()->getViewBuilder('node');

    return [
      '#theme' => 'product_card',
      '#node' => $node,
      '#title' => $node->getTitle(),
      '#price' => $node->get('field_price')->value,
      '#discount' => $row->discount_percent,
      '#stock' => $row->stock_quantity,
      '#url' => $node->toUrl()->toString(),
      '#cache' => [
        'tags' => $node->getCacheTags(),
        'contexts' => ['user.roles'],
      ],
    ];
  }
}

Programmatic use of View:

<?php

use Drupal\views\Views;

$view = Views::getView('discount_products');
$view->setDisplay('block_1');
$view->setExposedInput(['discount' => ['min' => 20, 'max' => 50]]);
$view->execute();

$results = $view->result;
foreach ($results as $row) {
  $node = $row->_entity;
  // render
}

Registration of custom table for Views:

<?php

function my_module_views_data(): array {
  $data = [];
  $data['product_stats']['table']['group'] = t('Product Stats');
  $data['product_stats']['table']['base'] = [
    'field' => 'id',
    'title' => t('Product statistics'),
    'help' => t('Custom table with discount and stock'),
  ];
  $data['product_stats']['node_id'] = [
    'title' => t('Node ID'),
    'relationship' => [
      'base' => 'node_field_data',
      'base field' => 'nid',
      'id' => 'standard',
      'label' => t('Node'),
    ],
    'filter' => ['id' => 'numeric'],
    'sort' => ['id' => 'standard'],
    'field' => ['id' => 'numeric'],
  ];
  $data['product_stats']['discount_percent'] = [
    'title' => t('Discount percent'),
    'filter' => ['id' => 'numeric'],
    'sort' => ['id' => 'standard'],
    'field' => ['id' => 'numeric'],
  ];
  $data['product_stats']['stock_quantity'] = [
    'title' => t('Stock quantity'),
    'filter' => ['id' => 'numeric'],
    'sort' => ['id' => 'standard'],
    'field' => ['id' => 'numeric'],
  ];
  return $data;
}

Approach Comparison: hook vs plugin

Criteria hook_views_query_alter Filter plugin
Development speed 30 minutes 2–4 hours
Reusability No Yes
Testability Low High
Caching Default Custom cache tags

Work Process: From Analysis to Deployment

Stage Duration Result
Analysis 0.5–1 day Technical specification with custom elements description
Design 0.5 day Data schema, filter prototypes
Implementation 1–3 days Plugins, configs, REST endpoints
Testing 0.5 day Load testing, compatibility with Drupal 10/11
Deployment 0.5 day Config export, documentation

What's Included in Custom Views Development

  • Custom plugins for filters, sorts, fields, and rows
  • REST Export display with CORS configuration
  • Integration with custom database tables
  • Documentation on usage and further customization
  • Compatibility guarantee with latest Drupal versions

Timeline and Cost

Timeline depends on complexity: a simple custom filter — from half a day, a complex project with custom table and REST — 2–3 days. Cost is calculated individually. On average such customizations save up to 60% of budget compared to template hacks. Contact us — we will assess your project for free. Get a consultation on architecture and optimization.

For more on Views API see the official Drupal documentation. Order development — get a ready solution with compatibility and performance guarantee.

Headless CMS: Strapi, Directus, Sanity, Contentful, Drupal

Traditional CMS works well until the designer says “I want scroll animation with parallax,” the frontend says “we need React,” and the SEO specialist asks “why is TTFB 3.4 seconds?” At that point, monolithic architecture starts to hinder everyone. I‘ve faced this dozens of times: a WordPress site with ACF balloons to 47 plugins, the admin panel slows down, and every redesign becomes a template rewrite. Headless CMS separates content management from presentation. Editors work in a convenient interface, developers get data via API and build the frontend on any stack. Sounds simple. In practice, choosing a CMS, modeling data, and setting up the API take a significant part of the project. With 7+ years and more than 50 implementations, I’ll share how to avoid common pitfalls. Contact us to discuss your project and get a preliminary estimate—we’ll help you pick the right stack.

What are the key benefits of headless CMS over monolithic?

Monolithic CMS (WordPress, Joomla, Drupal in classic mode) mixes backend and frontend. Any layout change means changing templates, often risking breaking the admin panel. Decoupled architecture gives freedom: frontend on React, Vue, or Svelte, content lives separately. Result: improved load speed (LCP often drops from 4–6 s to 1–1.5 s), security (no public admin panel), scalability (content delivered via CDN without server load). Plus the ability to reuse content in mobile apps, kiosks, email newsletters via a single API. A client we recently helped saw LCP improve from 6.2 s to 1.1 s — a 5.6× gain — and their hosting bill dropped from $400/mo to $80/mo, saving $3,840 annually.

How to choose a headless CMS for your project?

No universal tool exists. The choice depends on team, content complexity, and infrastructure. Let’s break down the key options.

Strapi — open-source, self-hosted, Node.js. Suitable for teams needing data control and API customization. Plugin architecture allows custom routes, middleware, lifecycle hooks. REST and GraphQL out of the box. Deploys in about an hour — three times faster than Drupal. Weakness: versions v4 and v5 are incompatible, migration is painful. Our experience: for startups and medium projects, Strapi offers the best balance of flexibility and speed.

Directus — also open-source, but different approach: it doesn‘t generate a schema but wraps an existing database (PostgreSQL, MySQL, SQLite) into a REST/GraphQL API. If you already have a database, Directus connects without migrations. Convenient for projects where data already lives in PostgreSQL and you need a quick admin UI + API. Saves up to 30% integration time.

Sanity — cloud CMS with real-time editor. Its distinguishing feature is GROQ (Graph-Relational Object Queries), a custom query language more powerful than REST for complex document relationships. Portable Text for structured content. Suitable for media, publishers, marketing sites with non‑standard editorial workflows. Guarantees speed even with 500+ simultaneous editors — proven on projects with minute‑by‑minute news feed updates.

Contentful — enterprise cloud CMS. Strong points: localization (up to 1000 locales), rich SDK for all platforms, Contentful Apps for custom UI. Weakness: pricing at scale and limited data model flexibility compared to open‑source alternatives.

Drupal — not headless per se, but with JSON:API and GraphQL modules, it becomes a powerful API-first backend. Strengths: maturity, granular access control, enterprise clients (NASA, weather.com). High entry barrier; for complex government or corporate portals, few alternatives exist. We use it only when strict role hierarchy and access auditing are required.

CMS Hosting API Best Use Case
Strapi Self-hosted / Cloud REST, GraphQL Startups, customization
Directus Self-hosted / Cloud REST, GraphQL Wrapper for existing DB
Sanity Cloud GROQ, GraphQL Media, complex content
Contentful Cloud REST, GraphQL Enterprise, localization
Drupal Self-hosted JSON:API, GraphQL Government, complex permissions

Consequences of poor content modeling

Content modeling is critical. Mistakes at this stage are costly. A typical problem: a body field of type rich text for everything. Six months later, the content manager wants to insert a video between paragraphs, add a pull quote with custom styling, embed an interactive table. Rich text can‘t handle that. Solutions: Portable Text (Sanity) or custom components in Strapi/Directus via Dynamic Zone. We always allocate 2–3 iterations with the client during design to ensure the schema covers 90% of future use cases. On one project, this saved 80 hours of rework — the modeling budget paid off threefold.

How we build projects on headless CMS

Frontend for headless CMS almost always uses Next.js (App Router) or Nuxt. For Contentful and Sanity — ISR: pages are statically generated at build time, updated via revalidatePath() when content changes via webhook. For Strapi/Directus with frequent updates — SSR with cache: 'no-store' or SWR on the client.

Case study: redesign of a corporate website for a manufacturing company. Previous site: WordPress with ACF, 200+ pages, 4 languages. Problems: TTFB 3.8 s, editors complained about slow admin. Migrated to Strapi (self-hosted, PostgreSQL), Next.js App Router. Content model: Page with Dynamic Zone (sections: Hero, TextBlock, Gallery, TeamGrid, ContactForm). Localization via Strapi i18n plugin + next-intl on frontend. Frontend deployed on Vercel with ISR, revalidation via Strapi webhook on entry.publish. According to the client: TTFB dropped from 3.8 s to 180 ms (static with CDN) — a 21× improvement. Editors got a clean interface without 47 plugins. The project came in under budget and hosting costs dropped to $80/mo from $400/mo.

Implementation process broken into stages:

  1. Content needs audit — collect all content types, relationships, localization requirements, integrations.
  2. Data schema design — create models, fields, validation, access roles. Document in Swagger/OpenAPI.
  3. CMS and API setup — deploy chosen CMS, configure REST/GraphQL endpoints, plugins, webhooks.
  4. Frontend development — connect Next.js/Nuxt, configure ISR/SSR, section components, routing.
  5. Content migration (if legacy) — automated loading via API or scripts.
  6. Testing — check API endpoints, regression, load testing, Core Web Vitals.
  7. Deployment — configure CDN, SSL, CI/CD, monitoring.

How long does implementation take?

The standard path includes all stages. Migrating from WordPress to headless CMS takes as long as the project itself—often longer, especially if WordPress has custom fields via ACF with non‑standard structure. Our typical timelines:

Project Type Timeline
Simple site on Strapi + Next.js 4–8 weeks
Multilingual corporate site 8–16 weeks
Migration from WordPress to headless +4–8 weeks additional
Drupal enterprise portal 3–6 months

Cost is calculated individually after a brief. Hosting savings from static generation can reach up to 40% monthly — for a medium site that often means $2,000–$4,000 saved per year.

Non‑obvious considerations when choosing a headless CMS

  • Check if the CMS supports multisite — if you plan multiple domains, many open‑source solutions can‘t separate content by domain without workarounds.
  • Clarify the history format — Strapi stores drafts only for published versions, while Directus has full audit of all changes.
  • Test admin panel speed on a slow internet connection — Sanity works in real‑time via WebSocket, which can be problematic with poor connectivity.
  • Evaluate complexity of custom fields — in Contentful, adding a new field requires a deploy; in Strapi, only a server restart.
  • Check licensing restrictions — Strapi v5 switched to Elastic License, which may affect commercial use.

What is included

  • Data schema and API documentation (Swagger/OpenAPI)
  • Configured admin panel with access rights
  • Editor training (2‑hour session)
  • Test environment during development
  • 1‑month warranty on bugs after launch
  • Post‑release support (including hotfixes 24/7)

Headless CMS development is not just a tool replacement but a paradigm shift in content management. We help make this transition without downtime or data loss. Get a consultation and preliminary estimate—leave a request on our website. Order headless CMS implementation with guaranteed results.