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EnvoAPI VS LinkediScraper

Compare EnvoAPI VS LinkediScraper and see what are their differences

EnvoAPI

Enrich contact and company records with EnvoAPI. Access LinkedIn data, find work emails, and verify addresses. Start with 100 free credits.

Rating
0 reviews
Pricing
Freemium $49 / Monthly ("Launch", "10,000 credits", "60 requests per minute")
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Alternatives Is it good?
LinkediScraper

Effortless LinkedIn Scraping with Our No-Code Platform

Rating
0 reviews
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Alternatives Is it good?
Firma.dev
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Which is more popular?

API Tools popularity
100% vs 0%
alternatives listed
6 vs 3

Base details

Website, pricing, platforms and company facts side by side.

EnvoAPI
LinkediScraper
Website envoapi.com linkediscraper.com
Pricing
Freemium $49 / Monthly ("Launch", "10,000 credits", "60 requests per minute") Official pricing
—
Platforms
Web REST API MCP Python Node JS TypeScript Go +4
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Listed in
LinkedIn LinkedIn Tools Linkedin Automation LinkedIn Marketing B2B SaaS SaaS APIs API Tools Web Scraping Web Scraping API +7
LinkedIn Tools Data Scraping APIs Linkedin Api +1

Features and specs

What each product offers, as listed by its team.

EnvoAPI 8 features
LinkediScraper 5 features
  • LinkedIn Profile API
    Retrieve public LinkedIn profiles, work experience, education, skills, and professional details as structured JSON.
  • Company Data Enrichment
    Access company profiles, employee counts, industries, headquarters, and business insights using company domains or URLs.
  • AI Agent & MCP Integration
    Connect ChatGPT, Claude, Cursor, and other MCP-compatible AI agents to professional and company data.
  • People & Company Search
    Search professionals and companies using keywords, job titles, locations, industries, and supported filters.
  • Job Search API
    Find public job listings by keyword, company, or location, with structured results and pagination.
  • Email Finder & Verification
    Find professional email addresses and verify them through dedicated API endpoints.
  • Developer SDKs & REST API
    Integrate 58 documented REST API endpoints using official Python, TypeScript, and Go SDKs.
  • Credit-Based API Pricing
    Start with 100 free credits, no credit card required, and scale with flexible usage-based plans.
  • LinkedIn-Focused Functionality
    The tool is specifically designed for scraping LinkedIn data, which means it may offer specialized features tailored to extracting profiles, company information, and other LinkedIn-specific data points more effectively than generic scraping tools.
  • Potential Time Savings
    For users who need to gather LinkedIn data for lead generation, recruitment, or market research, an automated scraping tool could significantly reduce the manual effort required to collect this information compared to manual browsing and copying.
  • Structured Data Output
    Web scraping tools like this typically organize extracted data into structured formats (such as CSV or spreadsheets), making it easier to analyze and use the collected LinkedIn data for business purposes.
  • Scalability for Data Collection
    Scraping tools generally allow users to collect data from multiple profiles or pages more quickly than manual methods, potentially enabling larger-scale data gathering efforts.
  • Targeted Use Cases
    Such tools are often valuable for specific business needs like sales prospecting, recruitment sourcing, or competitive analysis where LinkedIn data is a key input.

Possible disadvantages

  • Terms of Service Violations
    LinkedIn's User Agreement explicitly prohibits scraping and automated data collection. Using this tool likely violates LinkedIn's terms of service, which could result in account suspension, legal action, or being banned from the platform.
  • Legal and Compliance Risks
    Web scraping of personal data, especially professional information from platforms like LinkedIn, may violate data privacy regulations such as GDPR or CCPA, exposing users to potential legal liability depending on their jurisdiction and use case.
  • Account Security Risks
    Using third-party scraping tools that require LinkedIn credentials or automated interaction with the platform can flag accounts for suspicious activity, leading to temporary restrictions or permanent bans from LinkedIn.
  • Data Accuracy and Reliability Concerns
    Scraped data may become outdated quickly since LinkedIn profiles change frequently, and scraping tools may not always capture complete or accurate information, especially if LinkedIn implements anti-scraping measures or changes its site structure.
  • Limited Transparency and Trust
    As a lesser-known third-party tool, there may be limited information available about its data handling practices, security measures, and reliability, making it difficult for potential users to fully trust the service with sensitive scraping tasks or evaluate its long-term viability.

Analysis

An editorial look at what each product does well and who it suits.

EnvoAPI
LinkediScraper

No analysis of EnvoAPI yet.

Overall verdict

  • LinkediScraper appears to be a niche LinkedIn data extraction tool, but I don't have verified, up-to-date information confirming its reliability, legality of use, or performance compared to established competitors, so I can't give it a confident endorsement.

Why this product is good

  • Claims to automate LinkedIn profile and lead data scraping, which could save time on manual research
  • May offer export formats like CSV or integration with CRMs, useful for sales and recruiting workflows
  • Likely priced as a niche tool, potentially cheaper than enterprise scraping solutions
  • Lacks widespread reviews or third-party validation, making it hard to verify actual performance and reliability

Recommended for

  • Users should independently verify LinkedIn's Terms of Service compliance before use, as scraping LinkedIn often violates their policies and can lead to account bans
  • Small teams or freelancers seeking lightweight lead-generation tools, if legal and ethical concerns are addressed
  • Not recommended for enterprises requiring guaranteed compliance, data accuracy, or long-term platform stability without further due diligence

Category popularity

How often each product is chosen within a category, 0–100% relative to the other.

Score bands 0–20 21–40 41–50 51–60 61–100
EnvoAPI
LinkediScraper
100% 100%
API Tools
0% 0%
0% 0%
LinkedIn Tools
100% 100%
100% 100%
Web Scraping
0% 0%
0% 0%
APIs
100% 100%

Questions & Answers

As answered by people managing EnvoAPI and LinkediScraper.

What makes your product unique?

EnvoAPI's answer

EnvoAPI combines B2B data enrichment, LinkedIn data access, and AI agent integrations into one developer-friendly platform.

Unlike tools focused on a single data source or requiring complex scraping infrastructure, EnvoAPI provides 58 REST API endpoints across 7 data categories, including professional profiles, companies, jobs, posts, search, emails, and websites.

What sets EnvoAPI apart: - Unified API: Access multiple types of professional and business data with one API key. - AI-Native Integration: A hosted MCP server lets AI agents access business data directly through ChatGPT, Claude, Cursor, and other compatible tools. - Developer-Friendly: Well-documented endpoints, consistent JSON responses, and official SDKs for Python, TypeScript, and Go. - No Scraping Infrastructure Required: No LinkedIn account, browser automation, or proxy management needed. - Transparent Pricing: Credit-based billing with 100 free starter credits and no credit card required. EnvoAPI makes professional data easier to access, integrate, and automate.

Why should a person choose your product over its competitors?

EnvoAPI's answer

Choose EnvoAPI if you need a simple, flexible, and developer-first alternative for accessing B2B and LinkedIn-related public data.

EnvoAPI helps teams avoid the complexity of maintaining custom scraping systems or integrating multiple data providers.

Key advantages include:

  • Faster Integration: Get started with a REST API, comprehensive documentation, and official SDKs.
  • Broad Data Coverage: Retrieve professional profiles, company information, job listings, public posts, and business email data through one platform.
  • Built for AI Agents: Native MCP support enables AI assistants to research people and companies using structured data.
  • Predictable API Experience: Consistent JSON responses, documented pagination, error handling, and credit usage.
  • Flexible Pricing: Start with 100 free credits, then scale based on your usage.
  • Automation Ready: Integrate with CRMs, SaaS applications, n8n, Make, Zapier, and custom workflows.

Whether you're building a SaaS product, enriching CRM records, or developing an AI research assistant, EnvoAPI offers a straightforward way to integrate business data into your workflow.

How would you describe the primary audience of your product?

EnvoAPI's answer

EnvoAPI is designed for developers, AI builders, SaaS companies, and B2B teams that need programmatic access to professional and company data.

Our primary audience includes:

  • Software Developers & SaaS Founders: Building applications that require LinkedIn profiles, company information, or business data enrichment.
  • AI Agent Developers: Connecting LLM-powered assistants to professional and company data through MCP.
  • Sales & Revenue Operations Teams: Enriching CRM records, researching prospects, and improving account intelligence.
  • Recruiters & HR Tech Companies: Researching professional backgrounds, identifying candidates, and analyzing hiring activity.
  • Growth & Marketing Teams: Discovering business contacts and enriching lead databases.
  • Data Analysts & Researchers: Collecting structured company information for market research and business intelligence.

EnvoAPI is particularly useful for teams that want API-first access to B2B data without building their own data collection infrastructure.

What's the story behind your product?

EnvoAPI's answer

EnvoAPI was created to solve a common challenge faced by developers and businesses: accessing professional and company data shouldn't require building and maintaining complex scraping infrastructure.

Many teams need public LinkedIn profiles, company information, job listings, and professional insights to power their products and workflows. However, official platform APIs often have restricted access, while custom scraping solutions require ongoing maintenance.

We built EnvoAPI to simplify this process.

Our goal is to make public professional data accessible through a reliable, well-documented, developer-friendly API with consistent JSON responses and transparent usage-based pricing.

As AI agents became more capable, we expanded EnvoAPI with Model Context Protocol (MCP) support, allowing AI assistants to access structured business information directly.

Today, EnvoAPI focuses on helping developers, startups, and businesses spend less time collecting data and more time building useful products.

Our mission is simple: Make B2B data accessible, programmable, and AI-ready.

Which are the primary technologies used for building your product?

EnvoAPI's answer

EnvoAPI uses modern API standards and developer integration technologies to provide structured B2B data access.

Our publicly documented technologies and interfaces include:

  • REST API & HTTPS: Standard HTTP-based endpoints for accessing professional and company data.
  • JSON: Consistent, structured API responses for straightforward data processing.
  • Model Context Protocol (MCP): Integration with AI assistants and agent-based workflows.
  • OpenAPI: Machine-readable API specifications and developer documentation.
  • Python: Official SDK with synchronous and asynchronous support.
  • TypeScript / Node.js: Official SDK for JavaScript and TypeScript applications.
  • Go (Golang): Official SDK for Go applications.
  • OAuth 2.0 & API Keys: Authentication methods for MCP integrations and REST API requests.

EnvoAPI is designed to work with modern SaaS architectures, AI applications, CRM systems, and workflow automation platforms.

User comments

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Alternatives to EnvoAPI and LinkediScraper

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