Two roads to structured web data
Firecrawl and Bright Data are sometimes seen as competitors but this isn’t exactly true. While both of these services provide data pipelines and web data infrastructure, their scope and user targets differ meaningfully. Firecrawl offers an intuitive way to crawl and scrape the web, while Bright Data provides a comprehensive suite of tools for your entire AI data pipeline.
Both of these companies offer Model Context Protocol MCP servers, Software Development Kits (SDKs), Application Programming Interfaces (APIs) and more. Yes, both companies host infrastructure that can crawl, extract and transform web data. The real differences lie in scope of collection and the resulting data.
By the time you’ve finished reading, you’ll be able to answer the following questions.
- What is Firecrawl?
- What is Bright Data?
- Which tools and services do these companies offer?
- When should teams choose Firecrawl?
- When should teams choose Bright Data?
Two contrasting philosophies
Firecrawl
Firecrawl is built so that anybody can be up and running a scraper in just a few seconds. Their Crawl and Extract tools do exactly this. They also offer some other features like Map, Search and their own MCP server alongside more traditional SDKs and APIs.
- Natural Language Processing (NLP): Firecrawl’s most attractive feature is the ease-of-use stemming from NLP as opposed to traditional coding. Rather than writing code, simply enter a prompt:
Can you scrape all the books from https://books.toscrape.com? - Custom schemas: When extracting any type of data, JSON is the default format — this isn’t Firecrawl-specific, it’s an industry standard. However, Firecrawl allows the user to intuitively define custom schemas for their JSON objects with no other human involvement needed.
- Flexible formats: Retrieve your scraped content as Markdown, an AI summary, links, HTML, screenshots or JSON. This covers a wide variety of users with varying technical prowess.
- Mapping: A lesser-talked-about feature but still useful. Firecrawl makes it easy to retrieve full sitemaps for teams who need to understand or even reverse-engineer layouts.
Firecrawl is built specifically for people who want to scrape the web themselves. They’ve helped lower the barrier to entry in crawling and extraction so that anybody can start scraping today using natural language rather than code.
Bright Data
Bright Data’s offerings are a huge contrast. Like Firecrawl, they offer scraping infrastructure. However, even these offerings are much more comprehensive. Alongside basic data collection and web scraping, Bright Data offers finely curated datasets, search APIs, live data feeds and serverless data collection. Bright Data also provides AI-specific packages like multimodal extraction, LLM-ready packages and even data annotation.
- Scale: Bright Data powers hundreds of thousands of remote browsers concurrently. Their on-demand, prebuilt and custom scrapers let enterprise companies collect almost any custom data on-demand.
- Reliability: Their web data infrastructure network has existed for over a decade. This same infrastructure powers mission-critical software and AI agents today.
- Custom schemas: Teams can define any custom schema using Bright Data’s custom scraper option.
- NLP: Use natural language or code to create custom scrapers, it’s your team’s choice.
- Flexible formats: Bright Data offers extracted data in a variety of formats as well such as JSON, CSV, Parquet and compressed formats based on individual team needs.
- AI-ready data packages: Gain immediate access to multimodal training data. Choose from specific LLM-ready data packages.
- Data annotation: A newer offering, Bright Data now annotates datasets using AI or human-in-the-loop data enrichment.
Bright Data is geared more towards enterprise and collection at scale. They’re built on top of a large network of data collection infrastructure and provide that infrastructure as a service to enterprises. However, they are a full-fledged data company, not just a scraping provider. Bright Data provides collection infrastructure, curated data and a variety of other software and AI-related services.
Firecrawl: Streamlining web data for all
Scrape
Getting started with Firecrawl is dead simple. Once you’ve created an account, simply enter a URL and click Start scraping.
Within just a few seconds, you’ll get the output from your scraping operation. Here’s the output from Books to Scrape.
{
"json": {
"company_name": "Books to Scrape",
"company_description": "We love being scraped!"
},
"metadata": {
"title": "\n All products | Books to Scrape - Sandbox\n",
"favicon": "https://books.toscrape.com/static/oscar/favicon.ico",
"description": "",
"robots": "NOARCHIVE,NOCACHE",
"language": "en-us",
"viewport": "width=device-width",
"created": "24th Jun 2016 09:29",
"scrapeId": "d800202d-2c2f-4cf9-a560-667e4cbe972d",
"sourceURL": "https://books.toscrape.com",
"url": "https://books.toscrape.com/",
"statusCode": 200,
"contentType": "text/html",
"proxyUsed": "basic",
"cacheState": "hit",
"cachedAt": "2025-10-22T16:11:28.999Z",
"creditsUsed": 5
}
}
Extract
This feature allows you to extract custom data using natural language. However, users should note that Extract costs more than Scrape.
Next, you’ll be prompted to review the URLs you wish to scrape. When ready, click Start extracting.
Once again, within just a few seconds, we receive structured results. As you can see in the snippet below, we’ve got a list of books each with price, title and availability.
{
"books": [
{
"price": "£51.77",
"title": "A Light in the Attic",
"availability": "In stock"
},
{
"price": "£53.74",
"title": "Tipping the Velvet",
"availability": "In stock"
},
{
"price": "£50.10",
"title": "Soumission",
"availability": "In stock"
},
{
"price": "£47.82",
"title": "Sharp Objects",
"availability": "In stock"
},
{
"price": "£54.23",
"title": "Sapiens: A Brief History of Humankind",
"availability": "In stock"
},
{
"price": "£22.65",
"title": "The Requiem Red",
"availability": "In stock"
},
{
"price": "£33.34",
"title": "The Dirty Little Secrets of Getting Your Dream Job",
"availability": "In stock"
},
{
"price": "£17.93",
"title": "The Coming Woman: A Novel Based on the Life of the Infamous Feminist, Victoria Woodhull",
"availability": "In stock"
},
{
"price": "£22.60",
"title": "The Boys in the Boat: Nine Americans and Their Epic Quest for Gold at the 1936 Berlin Olympics",
"availability": "In stock"
},
{
"price": "£52.15",
"title": "The Black Maria",
"availability": "In stock"
},
{
"price": "£13.99",
"title": "Starving Hearts (Triangular Trade Trilogy, #1)",
"availability": "In stock"
},
{
"price": "£20.66",
"title": "Shakespeare's Sonnets",
"availability": "In stock"
},
{
"price": "£17.46",
"title": "Set Me Free",
"availability": "In stock"
},
{
"price": "£52.29",
"title": "Scott Pilgrim's Precious Little Life (Scott Pilgrim #1)",
"availability": "In stock"
},
{
"price": "£35.02",
"title": "Rip it Up and Start Again",
"availability": "In stock"
},
{
"price": "£57.25",
"title": "Our Band Could Be Your Life: Scenes from the American Indie Underground, 1981-1991",
"availability": "In stock"
},
{
"price": "£23.88",
"title": "Olio",
"availability": "In stock"
},
{
"price": "£37.59",
"title": "Mesaerion: The Best Science Fiction Stories 1800-1849",
"availability": "In stock"
},
{
"price": "£51.33",
"title": "Libertarianism for Beginners",
"availability": "In stock"
},
{
"price": "£45.17",
"title": "It's Only the Himalayas",
"availability": "In stock"
}
]
}
Pricing
Firecrawl offers four distinct packages. Their plans are transparent and easy to understand. Their highest tier lets teams scrape 500,000 pages per month.
- Free ($0/month): Scrape up to 500 pages per month with two concurrent requests at a time.
- Hobby ($16/month): Run up to five requests concurrently and scrape 3,000 pages per month.
- Standard ($83/month): Scrape up to 50,000 pages with 50 concurrent requests at a time.
- Growth ($333/month): Their largest package, offering up to 500,000 pages per month and 100 concurrent requests.
When combined with AI-generated summaries, SDKs and their MCP server, Firecrawl offers a viable solution for anybody looking to start scraping the web within seconds.
Bright Data: Infrastructure built for the world stage
- Features: Scrapers, Remote browsers, Unlocker API, historical datasets, annotation, SERP, multimodal data, LLM-ready data packages
- Integrations: MCP server, software SDKs, LangChain, LlamaIndex, n8n, Zapier, Claude, AWS
Custom scraper
Bright Data lets users define scrapers using natural language as well. Once you’ve got an account, simply add a custom scraper. You can choose to create either a fully managed or self-driven scraper.
Input the URL(s) you’d like to scrape and click Continue.
Next, their system will collect site information and recommend a custom schema for the scraper.
Within a few seconds, you’ll be shown a recommended schema for your structured data. You can view the schema in JSON or tabular formats.
Once your schema’s good to go, you’ll be asked about the scope of your collection needs. You have three options.
- Website Content: Extract data from the entire website. This will crawl the entire site by default.
- Specific Section: Only target a specific section of the site. This is best for targeted collection.
- Provided URLs: You decide exactly which pages to scrape by providing specific URLs. This option often works best for teams who know exactly what they need.
Finally, you’ll be prompted to meet with one of their reps on a call. To newbies, this can seem intimidating. However, this is just honest business. Bright Data wants you to know exactly what you’re getting before you buy it, no surprises.
Web Scraper API
This is one of Bright Data’s core products. Using their Web Scraper API, users can run scrapers on-demand. This allows teams to generate fresh, curated datasets with a single API call or button click.
Select an option and look at its finer details. Most scrapers have multiple options you can use for collection and data discovery.
Before purchasing a scraper, you can take a look at sample data and available endpoints.
Functions
Using Bright Data’s Functions, you gain access to an online Integrated Development Environment (IDE) for data extraction. You can choose to code the scraper yourself or create a scraper using a prompt. Here, we’ll build one using a natural language prompt. When you’re ready, click Generate code.
The IDE processes your request and takes a minute to generate your code. If you don’t have a minute or two to wait, they’ll email you when the scraper is ready. Otherwise, you can sit back and let their AI do the work.
Once it’s finished planning, coding and testing your new scraper, you’ll have a full-fledged JavaScript program displayed in the IDE. If you’re not comfortable, you often won’t need to actually touch the code. Simply click and playtest your code. Near the bottom of the console, you can view your output schema. As you can see, the AI model generated code to collect all sorts of traits for a thoroughly structured object.
{
"book_title": "",
"book_price": "...",
"availability": "",
"book_image": "...",
"book_rating": "",
"book_url": "...",
"category": "",
"add_to_basket": "..."
}
If you choose to actually run it, click on the Active scraper toggle. Navigate to the tab labeled Initiate manually. Click the Start button when you’re ready to initiate the scraper.
Within seconds, we’ve got a 21 record report from Books to Scrape. We can download it as JSON, NDJSON, CSV or XLSX.
Pricing
Bright Data’s pricing is very extensive. In this article, we’ve only tested out a few of their offerings. Here’s an in-depth table to give you a clear picture of most offerings. However, we still haven’t covered everything because each of the products below has its own pricing.
| Product / Feature | Benefit | Cost |
|---|---|---|
| Unlocker API | Bypass complex or blocked pages with minimal setup | $0.001 per page |
| Crawl API | Flexible crawling infrastructure for structured data collection | $0.001 per request |
| SERP API | Access ranked search results from multiple engines | $0.0015 per request |
| Browser API | Launch and control remote browsers on demand | $5 per GB of bandwidth |
| Prebuilt scrapers | Use Bright Data’s ready-to-go scrapers for common sources | $0.001 per request |
| Custom scraper (managed) | Fully managed scraper tailored to your data needs | From $400 per month |
| Datasets | Access curated, production-ready data without scraping yourself | Starting at $250 per month |
| Functions | Build scrapers with or without code using an online IDE and AI assistance | $0.0027 per request |
Bright Data’s prices improve at scale. Enterprise users receive substantial discounts, offering major savings for large-scale operations. In the image below, you can see a full pricing breakdown of their Unlocker API. Smaller projects pay $0.0015 per request on their “Pay As You Go” plan. At scale, the “2M Results” (2,000,000 results) plan lowers that price to $0.001 per request. This same principle applies for all their offerings. The higher your usage, the lower your pricing.
Bright Data provides a comprehensive suite for all types of data collection. They’re not strictly focused on helping you scrape. Decide which data you’re looking for and their tools will help you get there whether you want scraped data, curated datasets or data preparation for AI models.
Ideal use cases: Which platform fits where?
| Category | Firecrawl | Bright Data |
|---|---|---|
| Target users / stage | Individuals, startups, growing projects | Startups and enterprises scaling data pipelines and AI products |
| Feature scope | Crawl, Extract, Map, Search, NLP scraping, basic format handling | Comprehensive infrastructure, prebuilt and custom scrapers, datasets, unlocking, browsing, search and crawling APIs, Functions (IDE), MCP server, multimodal data packages |
| Scalability | Up to 500,000 pages/month, up to 100 concurrent requests | Millions of pages daily, massive parallelization with remote browsers and APIs |
| Pricing structure | Transparent upfront pricing tiers | Usage-based pricing with granular per-request/per-GB costs and enterprise plans |
| Format flexibility | Markdown, HTML, screenshots, AI summary, JSON | JSON, CSV, Parquet, NDJSON, XLSX, Markdown, screenshots, compressed formats |
| Ease of use | Easy | Medium |
| Ideal scenarios | Rapid prototyping, lightweight automations, targeted data pipelines | Scalable data collection, production workloads, AI/LLM data prep, data-driven product infrastructure |
Conclusion
Bright Data and Firecrawl cater to different audiences. Firecrawl is an excellent product for teams that need to get off the ground fast. They offer a quick way for anybody to scrape the web and coding is optional. Bright Data offers their own suite of coding-optional tools but their products stretch far beyond that.
Both companies offer quick onboarding for companies to start fast. However, Firecrawl is targeted at hobbyists, startups and small business. Bright Data’s offerings tend to be more favorable at scale. Their contrast is actually complementary. Due to the flexible formats of both, teams can get started with either setup. If your team begins with Bright Data, you gain scale but it does increase complexity. Due to flexible schema, users can migrate from one platform to the other with relative ease.