# Bright Data vs Labelbox

Bright Data records 802,752 monthly visits with -5.9% month-over-month growth and Free Trial, Paid pricing. Labelbox records 762,803 monthly visits with -22.8% growth and Contact for Pricing pricing.

| Metric | [Bright Data](https://openaitools.app/tool/bright-data) | [Labelbox](https://openaitools.app/tool/labelbox) |
| :--- | :--- | :--- |
| Website URL | https://brightdata.com | https://labelbox.com |
| Categories | AI Web Scraping, AI API, AI Agent, Large Language Models (LLMs) | AI Developer Tools, AI API, AI Workflow, AI Productivity Tools |
| Pricing Model | Free Trial, Paid | Contact for Pricing |
| Monthly Visits | 802,752 | 762,803 |
| MoM Growth Rate | -5.9% | -22.8% |
| Primary Market | United States | United States |
| Direct Visits | 383,707 | 370,024 |
| Review Score | 4.6 | 4.4 |
| Saved Count | 1 | 0 |
| Supported Platforms | Website | Website |

## Bright Data

Bright Data positions itself as web data infrastructure built for both people and automated agents. The platform bundles four main capability groups: Web Access APIs (Unlocker, SERP, Browser, and Crawl) that fetch and unblock public pages, Proxy Infrastructure spanning residential, ISP, and datacenter IPs, Data Feeds and Scraper APIs that return structured records from well-known domains, and a Dataset Marketplace of pre-collected data. Around those, Bright Data adds agent-facing tooling such as an MCP server and agent browser, plus managed enterprise data acquisition services.

The company reports traction of 50,000+ organizations and advertises an ethically sourced network of 400M+ residential IPs across 195 countries. Product depth is broad rather than narrow: an engineering team can pick a self-serve API, a no-code dataset purchase, or a fully managed acquisition engagement without leaving the same platform and billing surface.

Pricing is usage-based with multiple free tiers and trial credits. Published entry points include SERP API and Unlocker API free tiers, Crawl API from around $1 per 1,000 requests, Scraper APIs from roughly $0.75 per 1,000 records, and Datasets starting near $250 with a 100K record minimum order. Volume discounts, deposit matching promotions, and enterprise contracts are common, so real costs depend heavily on request volume and target site difficulty.

**Pricing & Plans:** Usage-based with free tiers and a free trial. Public starting points include SERP API and Unlocker API free tiers, Crawl API from about $1/1k requests, Scraper APIs from about $0.75/1k records, Browser API from $5/GB, residential proxies from roughly $2.5/GB during promotions, and Datasets with a ~$250 minimum order. Enterprise and managed plans are quote-based.

- **Web Access APIs:** Unlocker, SERP, Browser, and Crawl APIs fetch and parse public pages, handle anti-bot measures and CAPTCHAs, and return results in JSON, HTML, or Markdown.
- **Global proxy infrastructure:** Residential, ISP, and datacenter proxy pools with country, city, and ASN targeting, plus proxy management APIs for rotation and session control.
- **Pre-built scraper APIs and Data Feeds:** Structured endpoints for well-known domains such as LinkedIn, Amazon, and social platforms, delivering fresh records on demand or on a schedule.
- **Dataset Marketplace:** Purchase or filter pre-collected datasets across business, e-commerce, social, and real-estate categories with billions of records available.
- **Agent and developer tooling:** An MCP server, agent browser, SDKs, CLI, and integrations let AI assistants and applications consume web data programmatically.

**Strengths:** Very broad product surface covering proxies, scraping APIs, datasets, and agent tooling in one subscription.; Multiple free tiers and a no-card trial make it easy to validate before committing budget.; Written pricing examples on the site, so costs are estimable up front.; Strong enterprise positioning with compliance messaging, a trust center, and managed services.

**Limitations:** Total cost scales quickly with request or record volume, which can surprise smaller teams.; The number of products and overlapping APIs creates a real learning curve when choosing an approach.; Some use cases rely on sensitive data categories, so legal review is advisable before scraping regulated sources.

[Profile (Markdown)](https://openaitools.app/tool/bright-data.md)

## Labelbox

Labelbox occupies an unusual position in the AI stack: it does not primarily sell a chatbot or a generator, it builds the environments and data that models learn from plus the agents that take over recurring engineering and research work. The homepage claim is direct — frontier AI labs train on Labelbox environments and expert data, while engineering and research teams hand their recurring backlog to agents running on Recursion. A recent Series E of more than $100 million signals a heavily funded bet on that thesis.,For enterprises, the newer half of the product is Recursion. Agents are triggered by real signals — a failing build, a PagerDuty alert, a new dependency release, a fresh model checkpoint, or a Monday morning schedule — and then work in the background until the job is done. The examples the company promotes are concrete deliverables rather than summaries: a tested pull request with a preview link, a postmortem draft in Confluence with every event sourced, an ablation table naming the changes that mattered, or a patch for each exposed service after a critical CVE. A grader agent scores each run, and the graded session leaves behind memories, notes and skills that the next session reads before it acts.,The original foundation remains the data business: labeling, annotation, curation and model evaluation supported by expert human reviewers, used for computer vision, NLP, supervised fine-tuning, RLHF and red teaming. In practice the two halves reinforce each other, since the environments that produce high-quality training data are the same environments where agents learn to do real work. Pricing is enterprise-style, routed through sales conversations and shaped by data volume and agent usage, with no public self-serve tier.

**Pricing & Plans:** Contact for pricing. Labelbox does not publish self-serve plans or public rate cards; its pricing route instead directs interested teams to talk to sales, and cost is shaped by data production scope, agent deployment and enterprise requirements. There is no published free tier. Prospective customers should request a quote based on their volumes and use cases.

- **Data labeling and expert annotation:** Structured annotation, curation, model evaluation and human-in-the-loop review across vision, language and generative tasks, used to build the training and eval data behind production models.
- **Autonomous agent sessions:** Recursion agents start on their own from builds, alerts, commits, checkpoints and schedules, then work in the background until the task is finished and reviewable.
- **Domain specialists by function:** Specialist agents cover software engineering, reliability, security, ML research, evals, R&D, product and finance workflows, from flaky test fixes to postmortem drafts and vulnerability patches.
- **Graded outcomes that compound:** Every agent run is scored by a grader, and graded sessions leave memories, notes and skills that the next session reads before acting, so quality compounds over time.
- **Native tool and data integrations:** Agents operate against the tools teams already use, including GitHub, Jira, Linear, Slack, Datadog, PagerDuty, BigQuery, Databricks, Vercel and cloud providers.

**Strengths:** Covers both sides of the problem: training and eval data production plus agents that act on recurring work; Backed by a recent $100M+ Series E and adoption by frontier AI labs, indicating real funding and demand; Agent runs produce concrete deliverables with proof — tests, reruns, ablations — rather than unverified suggestions; Integrates with the toolchain teams already run: GitHub, Jira, Linear, Slack, Datadog, PagerDuty, BigQuery and Databricks

**Limitations:** No self-serve pricing or open signup: everything routes through a sales conversation, which slows down evaluation; The platform assumes real engineering and research infrastructure (GitHub, cloud providers, data warehouses) to deliver value; Positioning has shifted quickly toward autonomous agent sessions, so teams wanting only labeling workflows may find it heavier than needed

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

## Frequently Asked Questions

### How do Bright Data and Labelbox compare in monthly traffic?

Bright Data has 802,752 monthly visits, while Labelbox has 762,803. Traffic estimates describe audience size, not product quality.

### How do their growth rates compare?

Bright Data has a month-over-month growth rate of -5.9%; Labelbox has -22.8%.

### How does pricing compare?

Bright Data: Free Trial, Paid. Usage-based with free tiers and a free trial. Public starting points include SERP API and Unlocker API free tiers, Crawl API from about $1/1k requests, Scraper APIs from about $0.75/1k records, Browser API from $5/GB, residential proxies from roughly $2.5/GB during promotions, and Datasets with a ~$250 minimum order. Enterprise and managed plans are quote-based. Labelbox: Contact for Pricing. Contact for pricing. Labelbox does not publish self-serve plans or public rate cards; its pricing route instead directs interested teams to talk to sales, and cost is shaped by data production scope, agent deployment and enterprise requirements. There is no published free tier. Prospective customers should request a quote based on their volumes and use cases.

## 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 | Robust actor-based cloud scraping platform with a massive marketplace, but less raw enterprise proxy infrastructure control. | [.md](https://openaitools.app/tool/apify.md) |
| 2 | [Firecrawl](https://openaitools.app/tool/firecrawl-dev) | 1,828,239 | -1.9% | Freemium, Contact for Pricing | Instantly converts entire websites into clean LLM-ready markdown, but lacks raw residential proxy IP management tools. | [.md](https://openaitools.app/tool/firecrawl-dev.md) |
| 3 | [Roboflow](https://openaitools.app/tool/roboflow) | 1,431,204 | +6.6% | Freemium, Contact for Pricing | Streamlines end-to-end computer vision workflows from annotation to model deployment, but lacks Labelbox's general enterprise agent orchestration. | [.md](https://openaitools.app/tool/roboflow.md) |
| 4 | [TinyFish](https://openaitools.app/tool/tinyfish) | 1,124,952 | +199.7% | Freemium, Contact for Pricing | Provides live web search and agentic cloud browser automation, but less focused on raw proxy network management. | [.md](https://openaitools.app/tool/tinyfish.md) |
| 5 | [Exa](https://openaitools.app/tool/exa-ai) | 1,062,574 | +16.8% | Freemium, Contact for Pricing | Optimized specifically for neural web search and AI agent crawling, but lacks traditional raw proxy network controls. | [.md](https://openaitools.app/tool/exa-ai.md) |
| 6 | [Appen](https://openaitools.app/tool/appen-com) | 665,840 | +0.2% | Contact for Pricing | Relies heavily on managed human-in-the-loop workforce services for data validation, offering less self-serve technical tooling than Labelbox. | [.md](https://openaitools.app/tool/appen-com.md) |
| 7 | [Scale](https://openaitools.app/tool/scale) | 616,915 | +12.5% | Contact for Pricing | Delivers enterprise-grade labeling and model evaluation at massive scale, but often requires higher enterprise budgets than Labelbox. | [.md](https://openaitools.app/tool/scale.md) |
| 8 | [SuperAnnotate](https://openaitools.app/tool/super-annotate) | 386,034 | +37.4% | Free Trial, Contact for Pricing | Offers robust multimodal annotation and workflow automation, featuring slightly more intuitive data curation pipelines for computer vision teams. | [.md](https://openaitools.app/tool/super-annotate.md) |
| 9 | [Weights & Biases (CoreWeave Forge)](https://openaitools.app/tool/prompts) | 315,624 | -80.2% | Freemium, Contact for Pricing, Free | Track, evaluate, and ship AI models and agents in one connected environment. | [.md](https://openaitools.app/tool/prompts.md) |
| 10 | [Jina AI](https://openaitools.app/tool/jina-ai) | 280,782 | -16.5% | Freemium, Paid | Excellent URL-to-Markdown conversion and neural search APIs, but provides less extensive proxy IP infrastructure management. | [.md](https://openaitools.app/tool/jina-ai.md) |

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Source: https://openaitools.app/compare/bright-data-vs-labelbox

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