# Firecrawl vs PulpMiner

Firecrawl records 1,828,239 monthly visits with -1.9% month-over-month growth and Freemium, Contact for Pricing pricing. PulpMiner records 1,756 monthly visits with -9.2% growth and Paid pricing.

| Metric | [Firecrawl](https://openaitools.app/tool/firecrawl-dev) | [PulpMiner](https://openaitools.app/tool/pulpminer) |
| :--- | :--- | :--- |
| Website URL | https://www.firecrawl.dev | https://www.pulpminer.com |
| Categories | AI Data Mining, AI API, Large Language Models (LLMs), Open Source AI Models | AI API, AI Web Scraping, No-Code&Low-Code |
| Pricing Model | Freemium, Contact for Pricing | Paid |
| Monthly Visits | 1,828,239 | 1,756 |
| MoM Growth Rate | -1.9% | -9.2% |
| Primary Market | United States | Global |
| Direct Visits | 740,258 | 684 |
| Review Score | 4.7 | 4.1 |
| Saved Count | 2 | 0 |
| Supported Platforms | Website | Website |

## Firecrawl

Firecrawl positions itself as the infrastructure layer that helps AI systems find, read, and act on the live web. Instead of wrestling with headless browsers, proxy rotation, JavaScript rendering, and messy HTML, teams send Firecrawl a URL or a query and receive clean, token-efficient content that a model can consume directly. The platform bundles search, scrape, map, crawl, and interact endpoints so an agent can discover sources, pull their contents, and then click, type, or navigate within a page.

The product is developer-first: official Python and Node.js SDKs, a REST API, a CLI, and an MCP server make it easy to plug into frameworks such as LangChain, LlamaIndex, or any agent runtime. Reliability engineering is a headline claim, with published benchmarks for scrape coverage, latency, and token savings, plus smart waiting for dynamically loaded content and support for structured extraction schemas.

Firecrawl also maintains an open-source core alongside its hosted, usage-metered service, and it has expanded beyond raw scraping toward curated, licensed web content through its Alexandria program. Typical adopters include AI chat products, deep-research tools, agent builders, sales-intelligence teams, and onboarding flows that need fresh web context.

**Pricing & Plans:** Freemium: a free tier lets you start without a card, paid plans scale by credits/usage, and enterprise or high-volume deals are handled through contact sales.

- **Search, scrape, crawl, map:** Multiple endpoints cover discovery, single-page extraction, whole-site crawling, and URL mapping from one API.
- **LLM-ready output:** Returns Markdown, structured JSON, HTML, links, and screenshots while stripping navigation, ads, and footers to cut token usage.
- **Interact with pages:** After scraping, drive clicks, typing, scrolling, and navigation with prompts or code to reach data behind interaction.
- **Developer integrations:** Python and Node SDKs, REST API, CLI, and an MCP server let agents and IDEs connect in minutes.
- **Open-source core and reliability benchmarks:** A publicly developed core plus published coverage, latency, and token-efficiency benchmarks back the reliability claims.

**Strengths:** Handles JavaScript rendering, smart waits, and anti-bot complexity so you avoid maintaining your own scraper fleet; Token-efficient Markdown output reduces LLM input costs substantially; Rich integration surface: SDKs, REST, CLI, and MCP server for agent frameworks; Open-source core and published benchmarks improve transparency and trust

**Limitations:** Usage-based credits mean costs can grow quickly on large crawl jobs; Full feature depth may be overkill for teams that only need occasional single-page scraping; Coverage gaps remain on highly protected or login-gated sites

[Profile (Markdown)](https://openaitools.app/tool/firecrawl-dev.md)

## PulpMiner

PulpMiner solves a small but constant problem: you need data that only exists on a webpage. Instead of writing and maintaining a scraper, you paste the URL into PulpMiner, and it reads the page structure and proposes a clean JSON object. You adjust the fields you care about — title, price, author, rating, stock status, whatever the page exposes — and save it. From then on it is a working endpoint returning live, structured data on every request, callable with a plain GET and an API key.

The workflow is deliberately three-step: enter a URL, get a JSON shape, call your live API. Because extraction is AI-driven rather than selector-driven, it survives the layout changes that normally break scrapers, and because rendering happens server-side, JavaScript-heavy single-page applications work too. Part of a URL can be made dynamic, so one endpoint can serve a whole category of pages, and optional caching speeds up frequently-hit endpoints while reducing credit consumption.

The integration story is where PulpMiner differentiates itself from raw scraping APIs. There is a Google Sheets add-on that turns a column of URLs into structured data with no API key or formulas; an n8n community node; a native Zapier app; and a hosted MCP server that lets AI assistants such as Claude and Cursor turn pages into JSON and call your saved APIs directly. Pricing is credit-based rather than subscription-based — credits never expire — starting from a free tier, with published packages and an enterprise tier with SLA and custom scrapers.

**Pricing & Plans:** Credit-based, no subscription, and credits never expire. Free tier: 5 credits (about 10 API requests), no card required. Paid packages: $15 for 300 credits (~600 requests) and $55 for 1,100 credits (~2,200 requests), plus a custom amount option from 300 to 10,500 credits. Enterprise pricing with SLA guarantees, priority support, custom packages and enhanced scrapers is available on request.

- **URL to live JSON API:** Paste any public URL and PulpMiner proposes a structured JSON shape you can adjust, then saves it as a persistent API endpoint returning fresh data on every call.
- **AI extraction with no selector code:** The extractor reads page structure and pulls exactly the fields you asked for — price, title, author, stock status and so on — as clean JSON without writing selectors.
- **Dynamic URL variables and caching:** Make parts of the URL dynamic so one endpoint serves many pages through parameters, and turn on optional caching for pages you hit often to save credits.
- **JavaScript rendering:** Renders JavaScript, so single-page apps and dynamically loaded content are supported alongside plain HTML pages.
- **Integrations and secure keys:** Google Sheets add-on, n8n community node, native Zapier app and a hosted MCP server for Claude, Cursor and other AI assistants — with API keys securing every endpoint.

**Strengths:** Turns a URL into a working API in three steps without writing or maintaining scraper code; AI-driven extraction is resilient to the layout changes that break CSS-selector scrapers; Credits are a one-time purchase and never expire — no forced monthly subscription; Strong automation integrations: Google Sheets add-on, n8n node, Zapier app and an MCP server for AI assistants

**Limitations:** Credits are prepaid, so heavy or unpredictable scraping volumes need advance budgeting; If a target page's structure changes significantly, endpoints may need to be re-shaped; Very high-frequency polling still consumes credits even though each call returns live data; Enterprise pricing is a sales conversation rather than a published number

[Profile (Markdown)](https://openaitools.app/tool/pulpminer.md)

## Frequently Asked Questions

### How do Firecrawl and PulpMiner compare in monthly traffic?

Firecrawl has 1,828,239 monthly visits, while PulpMiner has 1,756. Traffic estimates describe audience size, not product quality.

### How do their growth rates compare?

Firecrawl has a month-over-month growth rate of -1.9%; PulpMiner has -9.2%.

### How does pricing compare?

Firecrawl: Freemium, Contact for Pricing. Freemium: a free tier lets you start without a card, paid plans scale by credits/usage, and enterprise or high-volume deals are handled through contact sales. PulpMiner: Paid. Credit-based, no subscription, and credits never expire. Free tier: 5 credits (about 10 API requests), no card required. Paid packages: $15 for 300 credits (~600 requests) and $55 for 1,100 credits (~2,200 requests), plus a custom amount option from 300 to 10,500 credits. Enterprise pricing with SLA guarantees, priority support, custom packages and enhanced scrapers is available on request.

## Alternatives

| # | Tool Name | Monthly Visits | MoM Growth Rate | Pricing Model | Summary | Profile (Markdown) |
| :--- | :--- | :--- | :--- | :--- | :--- | :--- |
| 1 | [Apify](https://openaitools.app/tool/apify) | 4,147,762 | +3.9% | Freemium, Contact for Pricing | Massive marketplace of robust web scrapers and actors, but requires more configuration than Firecrawl's simple API. | [.md](https://openaitools.app/tool/apify.md) |
| 2 | [TinyFish](https://openaitools.app/tool/tinyfish) | 1,124,952 | +199.7% | Freemium, Contact for Pricing | One API key for agent-grade web search, fetch, browsing and automation | [.md](https://openaitools.app/tool/tinyfish.md) |
| 3 | [Exa](https://openaitools.app/tool/exa-ai) | 1,062,574 | +16.8% | Freemium, Contact for Pricing | Web search API and crawler built for AI agents | [.md](https://openaitools.app/tool/exa-ai.md) |
| 4 | [Tavily](https://openaitools.app/tool/gpt-researcher) | 989,998 | -0.8% | Contact for Pricing | Bundles deep research agents and web search APIs, but less centered on raw site-to-markdown conversion. | [.md](https://openaitools.app/tool/gpt-researcher.md) |
| 5 | [Bright Data](https://openaitools.app/tool/bright-data) | 802,752 | -5.9% | Free Trial, Paid | Web data infrastructure for scraping, proxies, and AI-ready datasets | [.md](https://openaitools.app/tool/bright-data.md) |
| 6 | [Jina AI](https://openaitools.app/tool/jina-ai) | 280,782 | -16.5% | Freemium, Paid | Search foundation built from embeddings, rerankers, and reader APIs | [.md](https://openaitools.app/tool/jina-ai.md) |
| 7 | [Browserless](https://openaitools.app/tool/browserless) | 185,543 | -21.2% | Freemium, Paid, Contact for Pricing | Cloud browsers for AI agents, scraping, and automation that won't get blocked | [.md](https://openaitools.app/tool/browserless.md) |
| 8 | [Thor Data](https://openaitools.app/tool/thor-data) | 181,966 | -3.5% | Free Trial, Paid | Proxies and web data APIs for scraping and AI pipelines | [.md](https://openaitools.app/tool/thor-data.md) |
| 9 | [ScrapeGraphAI](https://openaitools.app/tool/scrapegraphai) | 91,362 | -25.7% | Freemium, Paid, Contact for Pricing | Turn any website into structured JSON with a prompt instead of selectors | [.md](https://openaitools.app/tool/scrapegraphai.md) |
| 10 | [Scrapingdog](https://openaitools.app/tool/scrapingdog) | 89,683 | -15% | Free Trial, Paid | Web scraping API with built-in proxies, browsers, and anti-bot handling | [.md](https://openaitools.app/tool/scrapingdog.md) |

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Source: https://openaitools.app/compare/firecrawl-dev-vs-pulpminer

More Markdown: [Categories](https://openaitools.app/categories.md) · [Traffic rankings](https://openaitools.app/rankings.md) · [llms.txt](https://openaitools.app/llms.txt)