Bright Data vs Coresignal: Which Is the Better Web Data Provider for You?

Coresignal provides structured B2B datasets and APIs focused on companies, employees, and job postings. That makes it a good option for teams looking for curated business data. On the other hand, Bright Data delivers a broader web data ecosystem with live scraping APIs, managed data services, proxies, datasets, and AI-ready tools, supporting a long list of industries and use cases.

So, which one should you pick: Bright Data or Coresignal? Let’s break it down!

TL;DR: Bright Data vs Coresignal: Quick Comparison Table

Introduction to Bright Data

Begin this Bright Data vs Coresignal comparison by looking at what Bright Data is and what it brings to the table.

What Is Bright Data?

Bright Data started as a proxy provider and has become the leading web data platform. It serves more than 20,000 customers, ranging from individual developers and small businesses to Fortune 500 companies.

At a high level, it enables developers and organizations to collect public web data at scale. Specifically, it supports a wide range of use cases, from lead generation to AI and machine learning training data.

Bright Data customers can access raw web data directly or extract actionable insights. They also benefit from the largest, most robust, and scalable infrastructure in the market for web scraping and data delivery.

Overall Offering

Bright Data has an extensive portfolio of web data solutions across multiple services and products. Some of the most notable include:

• Datasets: Obtain structured, validated data from hundreds of websites, covering billions of records and ready for compliance needs.
• Web Scraping APIs: Gather structured data from 120+ domains with automatic anti-bot bypass and JavaScript rendering.
• Web Unlocker API: Automatically manages blocks, CAPTCHAs, and proxy rotation to ensure consistent and predictable data extraction for scraping workflows.
• Web Archive API: Access historical and fresh HTML data from a continuously updated archive, adding over 1PB weekly.
• Managed data acquisition services: End-to-end data delivery handled by Bright Data’s team, removing technical overhead.
• SERP API: Collect real-time results from search engines like Google, Bing, Yandex, and DuckDuckGo, with built-in proxy handling and structured output.
• Browser API: Execute and scale Puppeteer, Selenium, or Playwright scripts in hosted browsers, supporting dynamic sites and automated CAPTCHA solving.
• Crawl API: Extract complete website data by defining a root URL, with output available in Markdown, HTML, text, or JSON.
• Proxy services: Leverage 150M+ residential, mobile, ISP, and datacenter IPs across 195+ countries for scalable scraping.
• Scraper Studio: Create AI-powered scrapers quickly, with self-healing capabilities and managed infrastructure.
• Deep Lookup: AI-driven search engine for companies and professionals, returning structured, actionable insights.
• Retail intelligence: Real-time e-commerce analytics, including pricing, product data, and AI-powered insights.
• Web MCP: Enables AI agents and applications to search, extract, and interact with the web using the Model Context Protocol.

With such a comprehensive suite of tools, the potential use cases are virtually endless. While the full feature set is broad, some of the standout capabilities include:

• No-code scraping experience: Easy, on-demand data collection designed for users of any technical level, without the need to manage infrastructure or proxies.
• Web dashboard: A unified interface to configure products, monitor activity, and manage data workflows.
• CAPTCHA Solver: Automatically handles reCAPTCHA, hCaptcha, px_captcha, SimpleCaptcha, GeeTest, and more to enable uninterrupted scraping and automation.
• Resources and learning: Access to webinars, documentation, guides, and video tutorials for fast onboarding
• Compliance and security: Built in line with GDPR, CCPA, and other privacy regulations, following strict ethical standards and enterprise-grade security practices.
• Proxy manager: A flexible control panel to configure, rotate, and optimize proxy usage with complete transparency.

Use Cases

Bright Data supports a very long list of scenarios across several industries, including:

• E-commerce and retail intelligence: Track competitor pricing, products, reviews, and sentiment across geographies in real time.
• Brand protection: Detect unauthorized sellers, counterfeit goods, fake accounts, and trademark violations across the web.
• SERP tracking: Monitor search rankings, ads, and keyword opportunities across Google, Bing, and other engines.
• Travel intelligence: Compare flight prices, hotel availability, and competitor offers across locations globally.
• Market research: ****Analyze audience behavior, trends, and competitors to inform product and strategy decisions.
• Real estate analytics: Monitor listings, pricing shifts, and market trends to optimize investment strategies.
• AdTech and ad verification: Validate ad placements, detect fraud, and gather competitive advertising intelligence.
• Social media marketing: Track trends, influencers, and audience sentiment to optimize campaigns in real time.
• Healthcare intelligence: Compare drug prices, monitor medical services, and analyze healthcare market trends.
• Data security and fraud prevention: Identify exposed threats, malicious domains, and fraudulent activities across public web data.
• Website testing: Monitor site performance, localization accuracy, and user experience from multiple geolocations.
• Lead generation: Collect accurate prospect data to improve targeting, personalization, and conversion rates.
• Insurance intelligence: Track competitor policies, pricing models, and detect potential fraud patterns.
• AI training data: Source structured, multimodal datasets for pre-training, fine-tuning, and RAG pipelines.
• Financial intelligence: Aggregate financial data, monitor competitors, and identify emerging investment opportunities.
• Managed data acquisition: Outsource large-scale, compliant web data collection tailored to enterprise needs.
• AI agent enablement: Allow AI agents to search, extract, and interact with live web data.
• Data for good: Provide NGOs and public institutions access to web data for research and impact initiatives.

Pricing

Regardless of which Bright Data solution you select, the pricing model is structured consistently across products.

You can opt for pay-as-you-go, where charges are based either on the number of results (for APIs like Web Unlocker API and Crawl API) or on data usage in GB (for Browser API and proxies). Alternatively, there are subscription plans designed for teams or users with recurring or predictable requirements.

This pricing structure allows you to either jump in immediately with pay-as-you-go or commit to a subscription without long-term obligations. Also, remember that all users are supported under standard SLAs.

Below is a breakdown of Bright Data’s pricing for its main products and services:

Instead, the Archive API is priced at $0.20 per 1K HTMLs. Dataset pricing is based on records, starting at $250 per 1K records, while managed services are billed at fixed monthly rates.

Note: Charges only apply to successful requests, and every product comes with a free trial. Also, enterprise customers can request custom pricing, plans, and SLAs tailored to their needs.

Overview of Coresignal

Let’s continue this Bright Data vs Coresignal comparison by taking a closer look at Coresignal.

What Is Coresignal?

Coresignal has established itself as a leading provider of public web data, with a strong focus on the B2B landscape. It serves more than 700 customers worldwide and helps bridge the gap between raw web data and high-quality, AI-ready datasets.

It gives you access to large volumes of B2B data, especially on companies, employees, and job postings. It supports key business functions such as investment intelligence, market analysis, talent analytics, and competitive research.

Coresignal customers can leverage a repository of more than 3 billion records to track company performance and identify hiring trends. They also benefit from a strong data infrastructure to deliver data through real-time APIs and customizable datasets.

Overall Offering and Features

Compared to Bright Data’s extensive range of services and products, Coresignal’s offering is more focused on web datasets and data APIs, including:

• Company dataset: Access 75M+ company records with firmographics, funding, executives, technographics, and online presence for sales, research, and investment analysis.
• Employee dataset: Explore 839M+ employee profiles with career history, skills, seniority, salaries, and workforce movement insights.
• Jobs dataset: Analyze 425M+ job postings to identify hiring trends, skill demand, salary benchmarks, and company growth signals.
• Company API: Retrieve real-time company data through scalable endpoints for CRM enrichment, lead generation, and market intelligence.
• Employee API: Access up-to-date workforce data via API for talent analytics, recruitment platforms, and HR technology solutions.
• Jobs API: Integrate continuously updated job postings data to monitor labor markets and company expansion activity.
• Historical Headcount API: Track company headcount changes over time to identify growth patterns and assess business performance.

APIs provide real-time updated data in JSON, JSONL, and CSV formats, while datasets are better suited for accessing static, historical data.

Then, relevant cross-functional features and options available across multiple services are:

• Custom datasets: Build tailored datasets with selected fields, formats, and delivery methods to match specific business requirements.
• Large-scale dataset delivery: Download millions of processed records in formats like JSON, JSONL, or CSV.
• Self-service data platform: Search, filter, and export up to 10k records using no-code tools and advanced filters.
• Coresignal MCP: Integrate Coresignal’s data directly with LLM-powered applications, enabling AI assistants to access and leverage B2B datasets.
• Data enrichment service: Enrich existing records using identifiers such as domains or profile URLs to unlock detailed business insights.
• Webhooks and data refresh: Receive automated notifications about company or employee data changes.
• Dataset consultation service: Get matched with the right dataset within 30 minutes through expert guidance.

Use Cases

Coresignal supports multiple scenarios, such as:

• Lead enrichment: Enhance existing leads with verified company, employee, and firmographic data to improve segmentation, personalization, and conversion rates.
• Talent analytics: Analyze workforce trends, employee movements, skills distribution, and company hiring patterns to support strategic HR and business decisions.
• Talent sourcing: Access professional data to identify, evaluate, and connect with qualified candidates across industries and global markets.
• Investment analysis: Discover potential deals, evaluate company performance, assess leadership teams, and analyze growth signals to reduce investment risk.
• Target market analysis: Identify ideal customer profiles, evaluate market size, and analyze industry trends to refine positioning and expansion strategies.
• Competitive analysis: Monitor competitors’ hiring activity, organizational changes, and growth indicators to uncover strategic insights and market opportunities.
• B2B intent data: Identify companies showing buying signals, track engagement patterns, and access detailed firmographic data to prioritize high-intent prospects.

Pricing

Coresignal pricing plans vary depending on whether you want to access data via API or purchase full databases:

• Database APIs: Subscription-based pricing, with a free plan and trial available.
• Datasets: Monthly payments with a yearly contract, delivered in JSON or CSV formats.

In particular, the database API offering follows this table:

Instead, access to datasets starts at $1,000.

Bright Data vs Coresignal: Core Differences

With an understanding of Bright Data and Coresignal, you are now ready to explore what sets them apart!

Covered Industries

Coresignal offers some tools like no-code data enrichment, AI-powered search, and an MCP server. Still, its core focus remains delivering web data. It provides structured datasets for data teams or API access for developers, with a specialization in B2B data. Its coverage is vertical, limited primarily to company, employee, and job postings.

In contrast, Bright Data spans a much broader range of industries and applications. Beyond B2B, it empowers AI agents to fetch live data, supports building ML and AI data pipelines, enables developers to create custom scraping bots, and allows non-technical users to extract data from hundreds of websites.

In short, Bright Data gives you a more flexible, general-purpose, and feature-rich experience for diverse web data needs, while Coresignal focuses primarily on B2B data delivery.

Approach to Data Sourcing and Delivery

In a Bright Data vs Coresignal comparison, it is essential to explore how they source data and how that data is delivered to customers.

Coresignal aggregates and combines high-quality public information from more than 15 web sources. In detail, it focuses strictly on publicly available, business-related data published online by companies or individuals. Its approach emphasizes ethical data collection, and it is certified by the Ethical Web Data Collection Initiative. The company also aligns its practices with GDPR and CCPA regulations.

In terms of delivery, Coresignal provides datasets through web link downloads, file uploads, cloud server transfers, or API access. Delivery frequency depends on the dataset: most are updated monthly, while some can be configured for daily or quarterly updates.

By contrast, Bright Data operates at a much larger web scale, retrieving publicly available data from over 30 billion domains. Like Coresignal, it limits its collection to public web data and follows strict ethical standards and industry best practices.

Bright Data’s infrastructure is backed by major certifications, including ISO 27001, SOC 2 Type II, and CSA STAR Level 1. It also adheres to GDPR, CCPA, and SEC regulations, supported by a dedicated Trust Center built to enhance transparency and user control.

On the delivery side, Bright Data features more integration flexibility. Datasets are available in JSON, NDJSON, CSV, XLSX, and Parquet formats, and can be delivered through Snowflake, Webhook, Google Cloud, Amazon S3, SFTP, Azure, Email, or Pub/Sub integrations. You can also request data on demand via API, with scheduled updates available on a daily, weekly, monthly, quarterly, or yearly basis.

For scraping APIs and other data collection products, Bright Data delivers freshly collected data in real time, with output formats including raw HTML, JSON, and AI-optimized Markdown. Finally, managed data acquisition services are available for a complete turnkey experience. You describe your data needs to Bright Data, and a team of experts develops and manages a tailored solution for you.

Infrastructure and Scalability

Coresignal does not expose a direct web scraping infrastructure, so there is no one-to-one comparison with Bright Data in this area. Instead, Coresignal focuses on delivering structured B2B data through APIs and datasets.

On the contrary, Bright Data offers a full AI-ready web data infrastructure engineered to support companies of all sizes worldwide. It achieves 99.99% uptime and a 99.95% scraping success rate, ensuring stable and reliable data collection at scale.

In terms of scalability, Coresignal’s APIs are limited to approximately 18 to 54 requests per second, depending on the endpoint. By contrast, Bright Data’s APIs and scraping solutions support unlimited concurrency and are backed by a proxy network of over 150 million IPs, opening the door to global coverage and virtually unlimited scalability.

In this specific category, there is no doubt that Bright Data features a stronger, more resilient, and scalable infrastructure.

AI Integrations

Both Bright Data and Coresignal make their data available through APIs, meaning you can technically build custom AI-ready tools around them.

The pivotal difference lies in ecosystem support and prebuilt integrations. Bright Data offers native integrations with well-known automation and AI platforms such as n8n, Zapier, Make, and xpander, among others. In total, it supports 70+ official integrations, including major AI and agent frameworks like OpenClaw, LangChain, LlamaIndex, CrewAI, Dify, Haystack, IBM Watsonx, Microsoft Copilot, AWS Bedrock AI Agents, Cursor, and RooCode.

Bright Data’s proxy infrastructure can also be connected to various third-party tools, including Phantombuster, GoLogin, and Kameleo. For instance, proxies and Browser API can be used alongside platforms like Apify to build more powerful scraping and automation workflows.

Both Coresignal and Bright Data come with a local/remote MCP server. Coresignal’s MCP server has 3 stars on GitHub. Bright Data’s Web MCP shows significantly broader adoption, with over 2k GitHub stars and support for 60+ tools covering web search, scraping, interaction, and more. It also includes a free tier for powering smarter AI agents.

Head-to-Head Dataset Comparison

To make a fair comparison between Bright Data and Coresignal, it is helpful to look at the area where they overlap most: B2B datasets.

As you can see, Coresignal has more extensive coverage for employees and job postings. Instead, Bright Data comes with vastly more company records. In general, Bright Data’s datasets extend over B2B scenarios to cover other industries such as finance, media, e-commerce, retail, and more.

Pricing

Bright Data follows a consistent pricing structure across its products. You can choose between pay-as-you-go billing and monthly subscription plans, depending on your usage needs. With pay-as-you-go, pricing is usage-based: either per GB of traffic or per 1,000 results/records. Then, subscription tiers lower the unit cost as volume increases.

For example, scraping APIs start at $1.50 per 1,000 results on a pay-as-you-go basis and can decrease to $0.75 per 1,000 records at higher tiers. Residential proxies begin at $4/GB and drop to $2.50/GB with larger plans. Dataset pricing starts at $250 per 1,000 records, with the price per 1,000 records decreasing as volume grows, going as low as $1 per 1,000 records at scale.

Compared to Coresignal, which ranges from $0.196 down to $0.005 per record depending on the plan, Bright Data’s dataset pricing (starting at the equivalent of $0.25 per record) is slightly higher at the entry level. Yet, it becomes significantly more cost-efficient at higher volumes. Plus, it has more flexible pricing options.

Which to Prefer Between Bright Data and Coresignal

The most actionable way to wrap up this Coresignal vs Bright Data comparison is by providing clear guidance on which solution fits specific needs best.

Choose Bright Data when:

• You have web scraping or automation needs, particularly for B2B applications and use cases.
• You are seeking a comprehensive set of web data acquisition tools, including scraping APIs, crawling APIs, datasets, and proxies.
• You desire access to one of the largest company datasets available, with billions of records.
• You aim to train ML/AI models using reliable, verifiable web data.
• You want to power AI agents, pipelines, workflows, or systems with autonomous live web data discovery and exploration.
• You want direct access to proxies for IP rotation and high scalability.
• You require enterprise-grade reliability and support.
• You prefer flexible pay-as-you-go options in addition to subscription plans.

Choose Coresignal when:

• You are particularly interested in B2B data.
• You want access to one of the largest employee datasets on the market.
• You need a huge jobs dataset.
• You prefer subscription-based pricing plans.

Final Comment

In this Bright Data vs Coresignal comparison, you saw what each platform brings to the table, how they differ, and which one may better fit your needs. If your focus is strictly on B2B data, Coresignal is a strong and specialized option. If instead you are looking for API-based, AI-ready, no-code-friendly, general-purpose, and highly scalable web scraping infrastructure built for enterprise use, Bright Data stands out as the more complete web data solution.

Create a free Bright Data account today to explore its web data products and services!

FAQ

What is Bright Data used for?

Bright Data is used for web data acquisition, including real-time scraping, API access, AI-ready datasets, proxy services, and much more. It supports building AI agents, ML models, dashboards, research, and enterprise data pipelines, covering multiple industries.

What is Coresignal known for?

Coresignal is known for providing high-quality B2B datasets, focusing on company, employee, and job postings data. It delivers structured, curated data via APIs or downloadable datasets, mainly for analytics, recruitment, and business intelligence.

What is the difference between Coresignal’s Dataset APIs and Bright Data’s Web Scraping APIs?

Coresignal’s Dataset APIs let you query data from a specific database, providing updates and notifications when records change. While they promise real-time data feeds, the data comes from a static B2B database that is continuously updated. In contrast, Bright Data’s Web Scraping APIs cover a broader range of industries beyond B2B and provide truly real-time access by scraping data directly from the source as it becomes available.

Which is better for AI training and integrations: Coresignal or Bright Data?

For AI integrations, Bright Data is the stronger choice. That is because it offers real-time web data access across 70+ integrations with leading AI frameworks. For AI/ML model training, both Bright Data and Coresignal provide structured, curated datasets. However, Coresignal’s datasets are primarily limited to B2B scenarios, while Bright Data is more general-purpose.