Firecrawl carved out a niche as the go-to scraping API for AI and LLM workflows, but its pricing and limitations leave plenty of room for alternatives. If you're paying $20/month minimum and still hitting rate limits or getting blocked on tricky sites, it's worth looking at what else is out there.
We compared 7 Firecrawl alternatives across pricing, anti-bot handling, JavaScript rendering, output formats, and developer experience. Here's what actually matters when you switch.
Key Takeaways
- Firecrawl's $20/mo entry point is expensive for side projects and startups with low volume
- SearchHive offers the most complete package — search, scrape, and deep extraction in one API — starting at a lower price point
- ScrapingBee and ZenRows are strong picks if you need residential proxy rotation
- For LLM/RAG pipelines, SearchHive and Jina AI handle markdown conversion natively
- Free tiers exist on most alternatives — you don't need to pay to test
1. SearchHive — Best All-in-One Alternative
SearchHive isn't just a Firecrawl alternative — it replaces three separate tools. Three APIs cover everything Firecrawl does plus real-time search:
- SwiftSearch — SERP and web search (Google, Bing, news, academic)
- ScrapeForge — raw page scraping with JavaScript rendering and proxy rotation
- DeepDive — structured data extraction with AI-powered parsing
Where Firecrawl converts pages to markdown for LLM consumption, SearchHive's DeepDive does the same thing but also extracts structured JSON, tables, and specific DOM elements.
import requests
# Scrape a page (equivalent to Firecrawl's /scrape endpoint)
resp = requests.post("https://api.searchhive.dev/v1/scrape", json={
"url": "https://example.com/product-page",
"format": "markdown", # also: html, json, text
"render_js": True,
"country": "us"
}, headers={"Authorization": "Bearer YOUR_API_KEY"})
print(resp.json()["content"])
Pricing: Starts lower than Firecrawl with a generous free tier. No minimum monthly commitment.
Best for: Developers who need search + scraping + extraction without juggling multiple APIs. AI agent builders who want clean markdown or structured data output.
2. ScrapingBee — Best for Proxy Rotation
ScrapingBee focuses on one thing: getting past anti-bot systems with residential and datacenter proxy rotation. It handles headless Chrome rendering, CAPTCHA solving, and returns clean HTML or text.
import requests
resp = requests.get("https://app.scrapingbee.com/api/v1/", params={
"api_key": "YOUR_KEY",
"url": "https://example.com",
"render_js": "true",
"proxy": "residential"
})
print(resp.text)
Pricing: Free tier with 1,000 credits. Paid plans start around $49/month — significantly more expensive than Firecrawl for comparable volume.
Best for: Teams that get blocked frequently and need serious proxy infrastructure. Not ideal if you also need search capabilities.
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3. Apify — Best for Complex Workflows
Apify is more of a scraping platform than a simple API. It runs "actors" — pre-built or custom scraping scripts — on their infrastructure. You can chain actors into pipelines, schedule runs, and store results in their built-in dataset.
The tradeoff: you're buying into their ecosystem. Custom actors use their SDK, and the platform overhead adds latency for simple single-page scrapes.
from apify_client import ApifyClient
client = ApifyClient("YOUR_API_TOKEN")
run = client.actor("apify/web-scraper").call(run_input={
"startUrls": [{"url": "https://example.com"}],
"pageFunction": """async function page({ context }) {
return { title: document.title };
}"""
})
Pricing: Free plan with $5 usage credit. Paid plans start at $49/month.
Best for: Complex scraping projects that need scheduling, storage, and actor orchestration. Overkill for simple page-to-markdown conversion.
4. ZenRows — Best Anti-Bot Bypass
ZenRows positions itself as the anti-bot specialists. Their API handles JavaScript rendering, CAPTCHAs, and proxy rotation with fewer configuration options — which is either convenient or limiting depending on your needs.
Pricing: Starts at $49/month. Free tier with 1,000 API credits.
Best for: Developers who want minimal configuration and strong anti-bot handling out of the box.
5. Jina AI Reader — Best Free Markdown Conversion
Jina's Reader API is laser-focused on one task: converting any URL to clean markdown. It's free for non-commercial use and integrates well with LLM pipelines.
The limitation is exactly that — it only does markdown conversion. No structured data extraction, no search, no proxy rotation.
import requests
resp = requests.get("https://r.jina.ai/https://example.com")
print(resp.text)
Pricing: Free for non-commercial. Commercial plans available.
Best for: Quick markdown conversion for RAG pipelines. Not a full scraping solution.
6. ScraperAPI — Best Simple Proxy Scraping
ScraperAPI handles proxies, CAPTCHAs, and browsers for you. Send a URL, get HTML back. The API is straightforward but lacks the markdown conversion and AI extraction features that make Firecrawl popular with LLM developers.
Pricing: Starts at $49/month. No free tier (trial only).
7. Oxylabs — Best Enterprise Scale
Oxylabs is the enterprise-grade option with the largest proxy network (100M+ residential IPs). Their Web Scraper API handles JavaScript rendering and data extraction at scale.
Pricing: Custom enterprise pricing. Not publicly listed — you'll need to talk to sales.
Best for: Large-scale operations that need guaranteed uptime and a massive proxy pool. Not accessible for small teams or individual developers.
Comparison Table
| Feature | SearchHive | Firecrawl | ScrapingBee | Apify | ZenRows | Jina AI | ScraperAPI |
|---|---|---|---|---|---|---|---|
| Markdown output | Yes | Yes | No | Via actors | No | Yes | No |
| JS rendering | Yes | Yes | Yes | Yes | Yes | Limited | Yes |
| Proxy rotation | Yes | No | Yes | Yes | Yes | No | Yes |
| Structured extraction | Yes (DeepDive) | No | No | Via actors | No | No | No |
| Web search | Yes | No | No | No | No | No | No |
| Free tier | Yes | Limited | 1K credits | $5 credit | 1K credits | Yes (non-comm) | Trial only |
| Starting price | $19/mo | $20/mo | $49/mo | $49/mo | $49/mo | Free/Comm | $49/mo |
Why SearchHive Wins for Most Developers
The case against Firecrawl comes down to three things:
1. Single-purpose limitation. Firecrawl does one thing — scrape pages. If you need search data, structured extraction, or SERP results, you're buying a second tool. SearchHive bundles all three.
2. Pricing at scale. Firecrawl's per-request costs add up fast for high-volume workflows. SearchHive's pricing stays competitive as you scale because search and scraping share the same infrastructure.
3. LLM-native output. Both convert to markdown, but SearchHive's DeepDive goes further — it extracts structured JSON, specific page sections, and table data that you can pipe directly into your LLM context.
If you're building AI agents, RAG pipelines, or data-heavy applications, you'll outgrow Firecrawl quickly. The question isn't whether to switch — it's which alternative fits your specific needs.
Getting Started with SearchHive
import requests
# 1. Search the web
search = requests.get("https://api.searchhive.dev/v1/search", params={
"q": "best web scraping APIs 2025",
"engine": "google"
}, headers={"Authorization": "Bearer YOUR_API_KEY"})
# 2. Scrape the top result
url = search.json()["results"][0]["url"]
scrape = requests.post("https://api.searchhive.dev/v1/scrape", json={
"url": url,
"format": "markdown"
}, headers={"Authorization": "Bearer YOUR_API_KEY"})
# 3. Extract structured data
extract = requests.post("https://api.searchhive.dev/v1/extract", json={
"url": url,
"prompt": "Extract product name, price, and rating"
}, headers={"Authorization": "Bearer YOUR_API_KEY"})
print(extract.json()["data"])
Search, scrape, extract — three APIs, one platform, lower total cost than Firecrawl plus whatever search tool you'd need alongside it.
Sign up at searchhive.dev and get started with the free tier. No credit card required.