Best Structured Data Extraction Tools (2025)

Structured data extraction transforms unstructured web content -- HTML pages, PDFs, documents -- into clean, machine-readable formats like free JSON formatter, CSV, or database records. It is the foundation of every data pipeline that feeds LLMs, analytics dashboards, price monitoring systems, and research databases. This guide compares the top tools for structured data extraction in 2025.

Key Takeaways

• API-based extractors are faster to integrate than visual scraping tools
• LLM-powered extraction handles messy pages better but costs more per request
• SearchHive's ScrapeForge + DeepDive covers both simple and complex extraction needs
• Cost per page ranges from $0.0001 to $0.01+ depending on complexity

1. SearchHive (ScrapeForge + DeepDive)

SearchHive provides two complementary extraction APIs. ScrapeForge converts any web page into clean markdown or structured JSON. DeepDive performs deeper analysis, extracting specific fields (titles, prices, dates, entities) from complex pages. Both handle JavaScript rendering and return consistent, parseable output.

Best for: Developers needing reliable extraction across diverse web sources

Pricing: Free (500 credits), Starter $9/mo (5K credits), Builder $49/mo (100K credits), Unicorn $199/mo (500K credits). Different operations cost 1-5 credits.

import requests, json

API_KEY = "your_key"
headers = {"Authorization": f"Bearer {API_KEY}"}
BASE = "https://api.searchhive.dev/v1"

# ScrapeForge: clean extraction with format control
response = requests.get(
    f"{BASE}/scrapeforge",
    headers=headers,
    params={
        "url": "https://example.com/products/123",
        "format": "structured"  # Returns parsed JSON with fields
    }
)
product = response.json()

# DeepDive: deeper extraction with entity recognition
response = requests.get(
    f"{BASE}/deepdive",
    headers=headers,
    params={
        "url": "https://example.com/article",
        "extract": "structured"  # Returns entities, dates, relationships
    }
)
article_data = response.json()

# Batch extraction across multiple URLs
urls = ["https://site-a.com/product/1", "https://site-b.com/product/2"]
results = []
for url in urls:
    resp = requests.get(f"{BASE}/scrapeforge", headers=headers,
                        params={"url": url, "format": "structured"})
    results.append(resp.json())

At $49/month for 100K credits, SearchHive extracts structured data at roughly $0.0005 per page (assuming 1-2 credits per extraction). That is 10-50x cheaper than most competitors.

2. Firecrawl

Firecrawl converts web pages into clean markdown with options for structured extraction via LLM. It handles JavaScript rendering, follows redirects, and manages proxies. The /scrape endpoint returns markdown; /extract returns structured data based on an LLM prompt.

Best for: LLM/AI applications that need clean markdown input

Pricing: Free (500 credits one-time), Hobby $16/mo (3K), Standard $83/mo (100K), Growth $333/mo (500K), Scale $599/mo (1M). Scrape costs 1 credit/page, extract costs 2-5 credits/page.

Key consideration: The /extract endpoint uses LLMs under the hood, which means higher cost per page and variable output formats. Good for one-off extractions, less ideal for consistent, production-grade pipelines.

3. Diffbot

Diffbot uses computer vision and NLP to extract structured data from any web page. Its Product, Article, and Discussion APIs automatically classify pages and extract relevant fields. One of the most accurate extractors for messy, inconsistent HTML.

Best for: Extracting structured data from highly varied page layouts

Pricing: Free (10K calls/mo), then custom pricing (typically $0.002-0.01 per call).

Key consideration: Higher cost per request and sometimes slower response times. Best for cases where accuracy matters more than volume cost.

4. ScrapingBee

ScrapingBee is a web scraping API that handles proxy rotation, CAPTCHA solving, and JavaScript rendering. It returns raw HTML that you parse yourself, though it also offers an extraction API for common patterns.

Best for: Developers who need reliable HTML fetching with anti-bot bypass

Pricing: Freelance $49/mo (250K requests), Startup $99/mo (1M), Business $249/mo (3M). Standard requests cost 1 credit, JS rendering costs 5-25 credits.

Key consideration: ScrapingBee is primarily a proxy/fetching layer. You need to write your own extraction logic, which adds development time.

5. Jina AI Reader

Jina AI Reader (r.jina.ai) extracts clean content from any URL by appending it as a path parameter. It returns markdown-formatted content. Simple, fast, and free for moderate usage.

Best for: Quick single-page extraction and content reading

Pricing: Free (1M tokens/day), Pro $0.60 per 1M tokens.

Key consideration: Single-page extraction only. No crawling, no batch processing, no structured field extraction. Best for reading articles, not for data pipelines.

6. Apify

Apify provides 25,000+ pre-built scraping actors (serverless programs) that extract structured data from specific sites. Actors for Amazon, Google, LinkedIn, and thousands of other sites handle extraction logic for you.

Best for: Extracting data from popular, well-known websites

Pricing: Free ($5 credit), Starter $29/mo, Scale $199/mo, Business $999/mo. Pay-as-you-go compute units.

Key consideration: Compute unit pricing is unpredictable. A scraper that works fast today might cost 3x more tomorrow if the target site changes.

7. ScrapeGraphAI

ScrapeGraphAI uses LLM-powered extraction to pull structured data from websites. You describe the data you want in natural language, and it generates the extraction logic.

Best for: Quick prototyping with natural language extraction queries

Pricing: Free (50 credits one-time), Starter $17/mo (60K/yr), Growth $85/mo (480K/yr), Pro $425/mo (3M/yr). Higher per-page credit cost than Firecrawl.

Key consideration: LLM-based extraction adds latency and cost. SmartScraper uses 10 credits per run, SearchScraper uses 30 credits per run. Less efficient than direct extraction APIs for high-volume use cases.

8. ZenRows

ZenRows is a web scraping API focused on anti-bot bypass. It handles proxy rotation, CAPTCHA solving, and JavaScript rendering. Returns HTML for you to parse.

Best for: Scraping sites with strong anti-bot protection

Pricing: $49/mo (250K requests), with add-ons for premium proxies and CAPTCHA solving.

Key consideration: Pure proxy/fetching layer. You must build extraction logic yourself. Higher cost per request than SearchHive for comparable functionality.

9. Octoparse

Octoparse is a no-code visual scraping platform with 500+ preset templates. It can extract structured data from websites without writing code, with built-in scheduling and cloud execution.

Best for: Non-technical teams extracting data from common websites

Pricing: Free (10 tasks, local), Standard $69/mo (100 tasks, cloud), Professional $249/mo (250 tasks).

Key consideration: Task-based pricing means each extraction run counts against your limit, regardless of how many pages it processes. The visual builder is limited compared to code-based approaches.

10. Mozenda

Mozenda is an enterprise web scraping platform with visual page selection tools, scheduling, and data delivery to databases and cloud storage. Focused on enterprise-scale data collection.

Best for: Enterprise teams needing managed data extraction services

Pricing: Custom enterprise pricing, typically $500+/month.

Key consideration: Highest price point. Best suited for companies that want a fully managed service and do not want to touch code.

Comparison Table

Recommendation

For developers building production data pipelines: SearchHive offers the best combination of price, reliability, and API design. ScrapeForge gives you clean, structured extraction. DeepDive handles complex pages with entity recognition. At $49/month for 100K credits, it costs less per page than any competitor with comparable features.

For AI/LLM applications: Firecrawl or Jina Reader for getting clean text into your models. Pair with SearchHive for the discovery and collection layer.

For no-code teams: Octoparse provides the easiest visual experience. Browse AI is a good lightweight alternative.

For enterprise-scale managed services: Diffbot or Mozenda when budget is not the primary constraint.

The fundamental tradeoff in structured data extraction is cost per page vs. development effort. Tools that do the parsing for you (SearchHive, Firecrawl, Diffbot) cost more per page but save weeks of development. Tools that return raw HTML (ScrapingBee, ZenRows) are cheaper per page but require you to build and maintain extraction logic.

SearchHive splits the difference: the extraction is built in (not raw HTML), but the pricing stays low enough that high-volume pipelines are affordable. Start with 500 free credits and see the extraction quality for yourself. No credit card required.