```yaml
product: AlterLab
title: Crozdesk Data API: Extract Structured JSON in 2026
category: Tutorials
comparison_context: "AlterLab is an alternative to Firecrawl, ScrapingBee, and Bright Data."
last_updated: 2026-08-02
canonical_facts:
  - "Learn how to extract structured Crozdesk review data via AlterLab's Data API—get typed JSON output for product_name, rating, review_count and more with minimal code."
source_url: https://alterlab.io/blog/crozdesk-data-api-extract-structured-json-in-2026
```

# Crozdesk Data API: Extract Structured JSON in 2026

This guide covers extracting publicly accessible data. Always review a site's robots.txt and Terms of Service before scraping.

## TL;DR
Use AlterLab's Extract API to turn a Crozdesk review page into typed JSON. Define a schema for fields like `product_name`, `rating`, and `review_count`, POST the URL and schema, and receive validated data—no HTML parsing required.

## Why use Crozdesk data?
Crozdesk aggregates software reviews that are valuable for several engineering workflows:
- **Training AI models**: Labeled review text and ratings improve sentiment analysis or recommendation systems.
- **Competitive intelligence**: Monitor rating trends across product categories to spot market shifts.
- **Analytics pipelines**: Feed structured review counts and verified purchase flags into dashboards for product‑market fit studies.

## What data can you extract?
From a typical Crozdesk review page you can pull the following publicly visible fields:
- `product_name`: The name of the software or service being reviewed.
- `rating`: Average star rating (often a string like "4.5").
- `review_count`: Total number of reviews submitted.
- `category`: The software category or industry vertical.
- `verified_purchase`: Flag indicating whether the reviewer confirmed a purchase.

Each field can be typed as a string in the JSON schema; AlterLab will coerce extracted text to match the requested type.

## The extraction approach
Attempting to scrape Crozdesk with raw HTTP requests and HTML parsers runs into several obstacles:
- JavaScript‑rendered content requires a headless browser.
- Anti‑bot mechanisms (CAPTCHAs, rate limits) trigger blocks.
- Page layout changes break CSS selectors, leading to brittle pipelines.

A data API abstracts these challenges. AlterLab manages headless browsing, proxy rotation, and automatic retries, returning only the data you asked for in the format you specified. This shifts effort from maintenance to modeling.

## Quick start with AlterLab Extract API
First, install the Python client (or use cURL directly). The following example shows a basic extraction call.

```python title="extract_crozdesk-com.py" {5-12}
import alterlab

client = alterlab.Client("YOUR_API_KEY")

schema = {
  "type": "object",
  "properties": {
    "product_name": {
      "type": "string",
      "description": "The product name field"
    },
    "rating": {
      "type": "string",
      "description": "The rating field"
    },
    "review_count": {
      "type": "string",
      "description": "The review count field"
    },
    "category": {
      "type": "string",
      "description": "The category field"
    },
    "verified_purchase": {
      "type": "string",
      "description": "The verified purchase field"
    }
  }
}

result = client.extract(
    url="https://crozdesk.com/example-page",
    schema=schema,
)
print(result.data)
```

The highlighted lines (5‑12) define the schema and invoke the endpoint. The client handles authentication, request signing, and error handling.

Equivalent cURL request:

```bash title="Terminal"
curl -X POST https://api.alterlab.io/v1/extract \
  -H "X-API-Key: YOUR_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "url": "https://crozdesk.com/example-page",
    "schema": {"properties": {"product_name": {"type": "string"}, "rating": {"type": "string"}, "review_count": {"type": "string"}}}
  }'
```

Both calls return a JSON payload whose `data` property matches the schema exactly.

### Example output
```json
{
  "product_name": "ProjectManager Pro",
  "rating": "4.7",
  "review_count": "128",
  "category": "Project Management",
  "verified_purchase": "Yes"
}
```

## Define your schema
The Extract API expects a JSON Schema draft‑07 document under the `schema` key. Each property you list becomes a field in the output. You can add constraints such as `minimum`, `maximum`, `pattern`, or `enum` to tighten validation. If a field cannot be extracted, AlterLab returns `null` for that property, preserving the schema shape.

Because the output is typed, downstream code can treat `review_count` as a number after simple casting, eliminating guesswork about string formats.

## Handle pagination and scale
Crozdesk often spreads reviews across multiple pages. To collect large datasets:
1. **Batching**: Submit an array of URLs in a single request using the `/v1/extract/batch` endpoint (available in the client as `client.extract_batch`). This reduces round‑trip overhead.
2. **Rate limits**: AlterLab enforces a default limit of 10 requests per second per API key. Adjust via the dashboard or include a `delay` parameter in batch jobs.
3. **Async jobs**: For very high volumes, fire off asynchronous extractions and poll for completion. The client returns a job ID; you can later retrieve results with `client.get_job(job_id)`.

```python title="batch_extract.py" {8-15}
import alterlab
import time

client = alterlab.Client("YOUR_API_KEY")

urls = [
    f"https://crozdesk.com/reviews?page={i}"
    for i in

## Frequently Asked Questions

### Is there an official Crozdesk data API?

Crozdesk does not provide a public API for its review data. AlterLab's Data API fills that gap by returning structured JSON from publicly accessible pages while handling anti-bot measures automatically.

### What Crozdesk data can I extract with AlterLab?

You can extract publicly available review fields such as product_name, rating, review_count, category, and verified_purchase. The output is validated against a JSON schema you define, guaranteeing typed results.

### How much does Crozdesk data extraction cost?

AlterLab charges per extraction with a pay‑as‑you‑go model; costs are clamped between $0.001 and $0.50 per call. There are no minimums, and unused balance never expires.

## Related

- [How to Scrape Ahrefs Data: Complete Guide for 2026](<https://alterlab.io/blog/how-to-scrape-ahrefs-data-complete-guide-for-2026>)
- [How to Scrape Clearbit Data: Complete Guide for 2026](<https://alterlab.io/blog/how-to-scrape-clearbit-data-complete-guide-for-2026>)
- [Building Agentic Web Browsing Workflows with Markdown Extraction and Headless Browsers](<https://alterlab.io/blog/building-agentic-web-browsing-workflows-with-markdown-extraction-and-headless-browsers>)