SearchHive vs ScrapingAnt — API Features Compared

Choosing between SearchHive and ScrapingAnt depends on what you actually need. ScrapingAnt is a solid web scraping API with generous free credits. SearchHive is a unified platform covering web search, scraping, and research — three APIs for the price of one.

This comparison breaks down features, pricing, and capabilities so you can pick the right tool.

Key Takeaways

• ScrapingAnt offers 10,000 free credits and unlimited concurrency — good for scraping-heavy workloads
• SearchHive provides search, scraping, and research APIs in one platform — cheaper if you need more than just scraping
• At scale, SearchHive is significantly more cost-effective ($199/mo for 500K credits vs $249/mo for 3M)
• SearchHive's unified API reduces integration complexity — one key, one SDK, three capabilities

---

Comparison Table

Feature-by-Feature Comparison

Web Scraping Capabilities

Both platforms handle the core scraping use cases well:

ScrapingAnt strengths:

• Generous free tier with 10,000 credits
• Unlimited concurrency on all plans — great for bulk scraping
• 3M+ proxy servers worldwide
• Custom code snippet generation in the dashboard
• UI-based request executor for testing

SearchHive strengths:

• Built-in structured extraction with CSS selectors
• Cleaner API design with consistent response format
• Combined with search and research APIs (no context switching)
• Markdown output option for LLM pipelines
• Lower per-credit granularity (1 credit = $0.0001)

Web Search API

This is where the platforms diverge significantly.

ScrapingAnt offers a Google SERP API as a separate product. It's designed for parsing Google search result pages — organic results, ads, knowledge panels, etc. Useful for SEO tools and rank tracking.

SearchHive's SwiftSearch is a general-purpose web search API optimized for AI and automation use cases. Returns structured results with titles, URLs, snippets, and metadata. Designed for feeding LLMs, powering RAG pipelines, and programmatic research.

If you only need Google SERP parsing, ScrapingAnt works. If you need search as part of a broader automation pipeline, SearchHive's unified approach is cleaner.

Research and AI Capabilities

ScrapingAnt does not offer a research or AI synthesis API. You'd need to combine it with a separate tool.

SearchHive's DeepDive provides research-grade content extraction and synthesis. Feed it a query, and it returns comprehensive, structured research output. This is the missing piece for AI applications that need more than raw scraped data.

Developer Experience

Both offer REST APIs with JSON payloads. The difference is in breadth:

# ScrapingAnt — scraping only
import requests

response = requests.get(
    "https://api.scrapingant.com/v2/general",
    params={"url": "https://example.com", "x-api-key": "YOUR_KEY"}
)

# SearchHive — search, scrape, and research in one platform
import requests

API_KEY = "your_api_key"
HEADERS = {"Authorization": f"Bearer {API_KEY}"}

# Search
search = requests.get("https://api.searchhive.dev/v1/search",
    headers=HEADERS, params={"q": "web scraping tools"})

# Scrape
scrape = requests.post("https://api.searchhive.dev/v1/scrape",
    headers=HEADERS, json={"url": "https://example.com"})

# Research
research = requests.post("https://api.searchhive.dev/v1/deepdive",
    headers=HEADERS, json={"query": "state of web scraping 2026"})

One API key, three capabilities. No separate accounts, no different SDKs, no billing from three vendors.

Pricing Deep Dive

Credit System Comparison

ScrapingAnt's credit system is simpler: each API call costs credits based on the operation type (general scrape, JS rendering, premium proxy, etc.). The documentation breaks down credit costs per operation.

SearchHive's credit system is more granular: 1 credit = $0.0001, and costs scale with complexity:

• Simple search query: 1 credit
• Basic page scrape: 1-2 credits
• JS-rendered scrape: 3-5 credits
• DeepDive research query: 5-10 credits

Which is cheaper at scale?

At equivalent volumes, both platforms are competitive. But consider the effective cost:

If you need search + scraping + research, SearchHive is dramatically cheaper because all three are included. With ScrapingAnt, you'd need their SERP API for search and a separate tool for research capabilities.

If you only need high-volume scraping, ScrapingAnt's unlimited concurrency and bulk pricing at the $249/mo tier (3M credits) offers more raw scraping capacity per dollar.

Code Examples

Scraping a product page

ScrapingAnt:

import requests

response = requests.get(
    "https://api.scrapingant.com/v2/general",
    params={
        "url": "https://store.example.com/product/123",
        "x-api-key": "YOUR_KEY",
        "render": "true"
    }
)
data = response.json()
# Returns: {"content": "...", "url": "...", "status_code": 200}

SearchHive (ScrapeForge):

import requests

response = requests.post(
    "https://api.searchhive.dev/v1/scrape",
    headers={"Authorization": "Bearer YOUR_API_KEY"},
    json={
        "url": "https://store.example.com/product/123",
        "extract": {
            "fields": [
                {"name": "title", "selector": "h1"},
                {"name": "price", "selector": ".price"},
                {"name": "description", "selector": ".description"},
                {"name": "image", "selector": "img.main", "attr": "src"}
            ]
        }
    }
)
# Returns structured JSON with extracted fields

SearchHive's built-in extraction means less post-processing in your application code.

Monitoring competitor news

ScrapingAnt approach: Scrape specific news sites and parse them yourself.

SearchHive approach:

import requests

API_KEY = "your_api_key"
HEADERS = {"Authorization": f"Bearer {API_KEY}"}

# Search for competitor mentions
results = requests.get(
    "https://api.searchhive.dev/v1/search",
    headers=HEADERS,
    params={"q": "ScrapingAnt", "freshness": "24h", "num": 20}
)

for r in results.json().get("results", []):
    print(f"{r['title']}: {r['url']}")

One API call covers discovery and metadata. Scrape individual articles with ScrapeForge for full content.

Verdict

Choose ScrapingAnt if:

• You only need web scraping (no search or research APIs)
• You want the highest possible free tier (10K credits)
• Unlimited concurrency is critical for your use case
• You're scraping at very high volume (3M+ pages/month)

Choose SearchHive if:

• You need search + scraping + research capabilities
• You're building AI/LLM applications that need all three
• You want one API key, one integration, one bill
• You prefer a unified platform over stitching multiple vendors together
• You're at small-to-medium scale where SearchHive's pricing is more competitive

For most developers building AI applications or data pipelines, SearchHive's unified approach wins. The time saved managing fewer integrations and the flexibility of having search, scrape, and research on one platform is worth more than the credit-per-dollar difference.

Try both and decide. SearchHive offers 500 free credits with no credit card required. ScrapingAnt offers 10,000 free credits. Test them against your actual workload and see which fits better.

Read SearchHive docs | See all comparisons

See also: /compare/firecrawl, /compare/scrapingbee