JSON-LD Schema & Meta Tag Extractor

What this dataset contains

This dataset is a static sample of 1 rows produced by the JSON-LD Schema & Meta Tag Extractor Apify actor. It targets the data_extraction niche (categories: SEO_TOOLS, DEVELOPER_TOOLS).

Extract JSON-LD/Schema.org structured data, Meta tags, OpenGraph and Twitter Cards from any URL. Get page title + meta description with a clean JSON output for SEO audits, validation, competitor research and AI datasets. Proxy-ready for large crawls.

From the actor's documentation: # 🧩 JSON-LD Schema & Meta Tag Extractor — Scrape Schema.org, OpenGraph & Meta Tags Extract structured data and SEO metadata from any webpage in seconds. This JSON-LD extractor scrapes JSON-LD / Schema.org markup, standard meta tags (title and description), OpenGraph (OG) tags and Twitter Card tags from a list of URLs and returns a clean, structured JSON dataset. If you need a schema scraper, meta tag checker, OpenGraph scraper or **Twitter c...

Each row captures a single record. The schema is reflected in the 7 field(s) listed below; values follow the structure produced by the actor during normal runs.

Source

This is a static sample. Live, fresh, customizable extractions are available via the Apify actor: logiover/json-ld-schema-meta-tag-extractor

Use the actor for: - Fresh, on-demand extractions - Custom input parameters (filters, regions, queries) - Scheduled, recurring runs - JSON / CSV / Excel export

Fields

• url — Canonical URL.
• pageTitle — Display name or title.
• metaDescription — Long-form textual content.
• jsonLd — Field produced by the actor; see live run for full semantics.
• openGraph — Field produced by the actor; see live run for full semantics.
• twitter — Field produced by the actor; see live run for full semantics.
• scrapeDate — Date/time field (ISO-formatted in most rows).

Sample preview

[
 {
  "url": "https://www.allrecipes.com/recipe/158968/spinach-and-feta-turkey-burgers/",
  "pageTitle": "Spinach and Feta Turkey Burgers Recipe",
  "metaDescription": "These spinach and feta turkey burgers are moist and easy to make in one bowl with simple ingredients, shaped into patties, and cooked on a hot grill.",
  "jsonLd": [
   [
    {
     "@context": "http://schema.org",
     "@type": [
      "Recipe"
     ],
     "headline": "Spinach and Feta Turkey Burgers",
     "datePublished": "2008-01-17T12:22:38-05:00",
     "dateModified": "2025-12-18T20:14:19-05:00",
     "author": [
      {
       "@type": "Person",
       "name": "FoodieGeek"
      }
     ],
     "description": "These spinach and feta turkey burgers are moist and easy to make in one bowl with simple ingredients, shaped into patties, and cooked on a hot grill.",
     "image": {
      "@type": "ImageObject",
      "url": "https://www.allrecipes.com/thmb/cpf6Rics5oHGq1TZ1df5fEaImwM=/1500x0/filters:no_upscale():max_bytes(150000):strip_icc()/1360550-582be362ee99424bb4f363c2274a9d0d.jpg",
      "height": 960,
      "width": 960
     },
     "video": {
      "@type": "VideoObject",
      "contentUrl": "https://content.jwplatform.com/videos/mfrpy5wt-K3AjnAEN.mp4",
      "description": "Elevate your backyard turkey burgers with this flavor-packed version, brimming with garlic, feta cheese and chopped spinach. Simply fire up your grill, combine all ingredients, and in 20 minutes you’ll have turkey burgers cooked perfectly and ready for your favorite toppings!",
      "duration": "PT49S",
      "name": "Spinach and Feta Turkey Burgers",
      "thumbnailUrl": "https://cdn.jwplayer.com/v2/media/mfrpy5wt/poster.jpg?width=1280",
      "uploadDate": "2021-07-02T09:11:18-04:00"
     },
     "publisher": {
      "@type": "Organization",
      "name": "Allrecipes",
      "url": "https://www.allrecipes.com",
      "logo": {
       "@type": "ImageObject",
       "url": "https://www.allrecipes.com/thmb/Z9lwz1y0B5aX-cemPiTgpn5YB0k=/112x112/filters:no_upscale():max_bytes(150000):strip_icc()/allrecipes_logo_schema-867c69d2999b439a9eba923a445ccfe3.png",
       "width": 112,
       "height": 112
      },
      "brand": "Allrecipes",
      "publishingPrinciples": "https://www.allrecipes.com/about-us-6648102#toc-editorial-guidelines",
      "sameAs": [
       "https://www.facebook.com/allrecipes",
       "https://www.instagram.com/allrecipes/",
       "https://www.pinterest.com/allrecipes/",
       "https://www.tiktok.com/@allrecipes",
       "https://www.youtube.com/user/allrec...

A research-grade dataset of optimizer "fingerprints" extracted from neural network training runs across multiple datasets, architectures, and random seeds.

Each row represents a full training run and includes stability metrics, sharpness and curvature statistics, gradient noise estimates, learning rate regime features, and generalization gap.

Designed for: - Meta-learning - AutoML research - Early optimizer selection - Training regime discovery - Optimization benchmarking

Aggregated data from 200 SkillSeek members who optimized their portfolio meta descriptions between January 2024 and March 2025, measuring CTR via Google Search Console and placements via self-reporting. Median values displayed. No causal relationship is implied.

Stack-based buffer overflow in the Meta Content Optimizer in Konae Technologies Alleycode HTML Editor 2.21 allows user-assisted remote attackers to execute arbitrary code via a long value in a (1) description or (2) keyword META tag. NOTE: the provenance of this information is unknown; the detai...

The python code is used in the manuscript "Multi-fidelity Meta-optimization for Nature Inspired Optimization Algorithms" submitted to "Applied soft computing". The programming environment is: Python 3.6 or higher.

The folders in the package include: 1. algorithms: Basic algorithms, including base class 'Algorithm' and [CS, DE, FOA, GWO, KH, PSO, SSA, WWO, WOA]. 2. applications: An engineering application: source term estimation. 3. benchmarks: Test functions, including base class 'Benchmark', basic test functions and 'CEC2014 Benchmark Suite'. 4. demo: Examples. 5. parameter_tuning: Multi-fidelity meta-NIOs and optimized-NIOs.

If you prefer using the command line to run the program, please do not forget to manually add the working directory to 'sys.path'.

MPO Datasets

This folder contains the datasets for the MPO experiments. Paper: https://hf.co/papers/2503.02682 Code: https://github.com/WeiminXiong/MPO

  File Structure

alfworld_metaplan_preference_pairs.json: includes comparison data for the DPO optimization phase of the ALFWorld meta planner. sciworld_metaplan_preference_pairs.json: includes comparison data for the DPO optimization phase of the SciWorld meta planner. alfworld_metaplan_sft.json: includes the… See the full description on the dataset page: https://huggingface.co/datasets/xwm/Meta_Plan_Optimization.

Stack-based buffer overflow in the Meta Content Optimizer in Konae Technologies Alleycode HTML Editor 2.21 allows user-assisted remote attackers to execute arbitrary code via a long value in a TITLE tag.

(version 2)

We add the MATLAB version (multi-fidelity-parameter-tuning-matlab.zip) , hoping researchers who program with MATLAB will find it helpful.

The structure of the MATLAB code is:

1. Algorithm (Algorithm.m): 1.1 Basic Algorithm: 1.1.1 PSO.m 1.1.2 GWO.m 2.2 Multi-fidelity Parameter Tuning: 2.2.1 FidelityControlFunction.m 2.2.2 MFOptimizedNIO.m 2.2.2.1 MFOptimizedPSO.m 2.2.3 MFMetaGWO.m

2. Cost Function: 2.1 SphereFunc.m 2.2 CEC14Func.m 2.2.1 input_data 2.2.2 cec14_func.cpp 2.2.3 cec14_func.mexw64

3. Demo: 3.1 DemoMF.m

One can run demo as follows:

1. Go into project root: <YOUR_WORKSPACE>/multi-fidelity-parameter-tuning-matlab
2. Run the following command in MATLAB window: DemoMF

One can compile CEC 2014 as follows:

Run the following command to create CEC 2014 library in MATLAB: mex cec14_func.cpp -DWINDOWS

(version 1)

The python code is used in the manuscript "Multi-fidelity Meta-optimization for Nature Inspired Optimization Algorithms" submitted to "Applied soft computing". The programming environment is: Python 3.6 or higher.

The folders in the package include: 1. algorithms: Basic algorithms, including base class 'Algorithm' and [CS, DE, FOA, GWO, KH, PSO, SSA, WWO, WOA]. 2. applications: An engineering application: source term estimation. 3. benchmarks: Test functions, including base class 'Benchmark', basic test functions and 'CEC2014 Benchmark Suite'. 4. demo: Examples. 5. parameter_tuning: Multi-fidelity meta-NIOs and optimized-NIOs.

If you prefer using the command line to run the program, please do not forget to manually add the working directory to 'sys.path'.