7 Cheaper Firecrawl Alternatives for AI Web Scraping Compared

7 Cheaper Firecrawl Alternatives for AI Web Scraping Compared

Firecrawl is popular for converting web pages into clean markdown for LLM consumption, but its pricing jumps quickly — the Standard plan hits $83/month for 100K credits, and Growth costs $333/month. If you're building AI pipelines that scrape at scale, those costs add up fast.

There are several Firecrawl alternatives that deliver the same core functionality — page-to-markdown conversion, JavaScript rendering, structured data extraction — often at a fraction of the price. Here's the breakdown.

Key Takeaways

• SearchHive ScrapeForge offers the best value: 500 free credits, then $9/5K — roughly 8x cheaper per credit than Firecrawl's mid-tier plans
• Jina AI Reader is free for up to 1M tokens/day but limited to single-page extraction (no crawling)
• ScrapingBee works well for traditional scraping but doesn't offer native markdown/LLM output
• For AI-heavy workflows, APIs with built-in markdown conversion (SearchHive, Firecrawl) save significant engineering time

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1. SearchHive ScrapeForge

SearchHive is a developer-focused API platform with three products: SwiftSearch for search results, ScrapeForge for web scraping, and DeepDive for content extraction. ScrapeForge converts web pages to structured markdown — the same core job as Firecrawl — but at a dramatically lower price point.

Pricing: 500 free credits/month, Starter $9/5K credits, Builder $49/100K, Unicorn $199/500K.

At the 100K tier, SearchHive costs $49/month vs Firecrawl's $83/month. At 500K, it's $199 vs $333 — a $134/month difference.

Python usage:

from searchhive import ScrapeForge

client = ScrapeForge(api_key="your-key")

# Scrape a single page to markdown
result = client.scrape("https://example.com/product-page")
print(result["markdown"])

# Batch scrape with JS rendering
pages = client.batch_scrape(
    urls=["https://example.com/page1", "https://example.com/page2"],
    render_js=True,
    format="markdown"
)

for page in pages:
    print(page["url"], page["content"][:200])

Best for: Teams that need both search AND scraping from one platform. ScrapeForge integrates natively with SwiftSearch for search-then-scrape workflows.

Learn more in our Firecrawl vs SearchHive comparison.

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2. Jina AI Reader

Jina AI Reader (r.jina.ai) is a free service that converts any URL to clean markdown. It's not a full scraping platform — no crawling, no proxy rotation, no batch processing — but for single-page extraction it's hard to beat on price.

Pricing: Free for up to 1M tokens/day. Pro plan at $0.60 per 1M tokens beyond that.

Python usage:

import requests

url = "https://r.jina.ai/https://example.com/article"
resp = requests.get(url, headers={"Accept": "text/markdown"})
print(resp.text)

Limitations: No JavaScript rendering, no proxy rotation, rate-limited at high volume. If Reddit or Cloudflare-protected sites are your target, Jina will return login walls.

Read our full Jina AI Reader alternatives comparison.

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3. ScrapingBee

ScrapingBee is a well-established scraping API with strong JavaScript rendering and proxy rotation. It returns raw HTML rather than markdown, so you'll need to handle the conversion yourself.

Pricing: Freelance $49/250K credits, Startup $99/1M, Business $249/3M. JavaScript rendering costs 5 credits per request (vs 1 for static HTML).

At $49 for 250K, the per-credit cost is low — but JS rendering eats credits 5x faster, making real costs comparable to Firecrawl for dynamic sites.

Python usage:

import requests

API_KEY = "your-key"
url = "https://example.com/dynamic-page"

resp = requests.get(
    "https://app.scrapingbee.com/api/v1/",
    params={
        "api_key": API_KEY,
        "url": url,
        "render_js": "true",
        "extract_rules": '{"title": "h1", "price": ".price-tag"}'
    }
)
print(resp.json())

Best for: Traditional scraping where you want raw HTML and control over parsing. Not ideal for LLM-ready output.

See our ScrapingBee alternatives guide.

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4. ScraperAPI

ScraperAPI is a proxy-rotating scraping API that handles CAPTCHAs and retries. Like ScrapingBee, it returns HTML — no native markdown conversion.

Pricing: Hobby $49/100K requests, Startup $149/500K, Business $349/2M.

The per-request pricing is reasonable, but at 100K requests for $49, you're paying more than SearchHive's 100K tier ($49) without getting markdown output or structured extraction.

Python usage:

import requests

resp = requests.get(
    "http://api.scraperapi.com",
    params={"api_key": "your-key", "url": "https://example.com", "render": "true"}
)
print(resp.status_code, len(resp.text))

Best for: High-volume scraping where you need raw HTML and proxy rotation but don't care about markdown conversion.

See our ScraperAPI alternatives post.

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5. Apify

Apify is a scraping and automation platform with pre-built "actors" for popular sites. It has a Python SDK and supports JavaScript rendering via headless Chrome.

Pricing: Free tier ($5 credit/month), Starter $49/mo, Business $149/mo. Pay-per-use for compute.

Apify's pricing model is compute-based rather than per-request, which makes it hard to compare directly. For simple scraping tasks, it can be cost-effective. For high-volume batch jobs, compute costs add up.

Python usage:

from apify_client import ApifyClient

client = ApifyClient("your-token")

run = client.actor("apify/web-scraper").call(run_input={
    "startUrls": [{"url": "https://example.com"}],
    "pageFunction": "async function page({ page }) { return { title: await page.title() } }"
})

for item in client.dataset(run["defaultDatasetId"]).iterate_items():
    print(item)

Best for: No-code users and teams that need pre-built scrapers for specific platforms (LinkedIn, Amazon, etc.).

See our Apify alternatives comparison.

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6. ZenRows

ZenRows focuses on anti-bot bypass with residential proxies and browser fingerprint rotation. Good for sites with aggressive bot detection.

Pricing: Starts at $49/month for 250K requests. Premium proxies cost extra.

ZenRows handles the hardest scraping targets but at a premium. If you're scraping sites behind Cloudflare or DataDome, it's one of the few options that works reliably.

Python usage:

import requests

resp = requests.get(
    "https://api.zenrows.com/v1/",
    params={
        "apikey": "your-key",
        "url": "https://cloudflare-protected-site.com",
        "js_render": "true",
        "antibot": "true",
        "premium_proxies": "true"
    }
)
print(resp.text[:500])

Check out our ZenRows alternatives guide.

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7. Bright Data

Bright Data (formerly Luminati) is the largest proxy network in the world. Their Web Scraper API combines proxy rotation with scraping infrastructure.

Pricing: Pay-as-you-go with platform fee. Scraping API starts around $0.001/request plus proxy costs. Enterprise pricing varies.

Bright Data is powerful but complex. Pricing is opaque — you need to contact sales for anything beyond basic tiers. Documentation is extensive but the learning curve is steep.

Best for: Enterprise teams with dedicated scraping infrastructure who need the largest proxy network available.

See our Bright Data alternatives post.

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Comparison Table

*Estimated — actual cost depends on JS rendering and proxy usage.

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Our Recommendation

For AI/LLM workflows where you need clean markdown output, SearchHive ScrapeForge offers the best combination of price and features. At $49/100K credits with native markdown conversion and JS rendering, it delivers the same core value as Firecrawl at roughly 40% of the cost.

If you only need single-page extraction and don't care about scale, Jina AI Reader is free and gets the job done.

For traditional scraping where you need raw HTML and maximum proxy coverage, ScrapingBee or ZenRows are solid choices depending on your anti-bot requirements.

Start scraping with SearchHive's free tier — 500 credits, no credit card required.