
Phantombuster
ScrapIn
Unipile
Linked Helper
Bright Data
Linked API
Evaboot
The best Unofficial LinkedIn API. Use it as a real-time LinkedIn scraper.

DocRaptor
Turn templates, HTML or Markdown into PDFs, images and e-invoices via API.

Which is more popular?
Website, pricing, platforms and company facts side by side.
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| Website | linkdapi.com | dynamicdocumentapi.com |
| Pricing | ||
| Platforms | — | |
| Company | Startup from the United States · 1 - 9 employees · 2024 | — |
| Listed in |
In their own words, as submitted to SaaSHub.


Powerful, lightweight LinkedIn Scraper API for extracting public data, profile viewer, and job scraper with enterprise-grade reliability.
Dynamic Document API renders PDFs and images from your own templates, from HTML and CSS or from Markdown. Use it through a REST API, SDKs for Node and Python, Zapier, Make and n8n, or an MCP server for AI agents like Claude and ChatGPT. It also creates validated e-invoices (XRechnung, ZUGFeRD /...
What each product offers, as listed by its team.


No features have been listed yet.
An editorial look at what each product does well and who it suits.


Overall verdict
Why this product is good
Recommended for
No analysis of DynamicDocumentAPI yet.
How often each product is chosen within a category, 0–100% relative to the other.


As answered by people managing LinkdAPI and DynamicDocumentAPI.
LinkdAPI's answer
LinkdAPI is a high-performance unofficial LinkedIn API designed for developers. It allows you to scrape LinkedIn profiles, extract Sales Navigator leads, and get structured company intelligence — without proxies, browser automation, or session handling.
DynamicDocumentAPI's answer:
It covers the whole path from data to finished document in one API: you design a template in a visual or HTML editor (or send raw HTML, CSS or Markdown), send JSON, and get a PDF or image back. The same service also creates e-invoices (XRechnung, EN 16931, Factur-X / ZUGFeRD) that are validated against the official rules before they are returned, and can embed them in the PDF. Rendering is deterministic: the same template and data always give the same document, laid out by a headless browser, with no AI model generating content. Everything runs in the EU (Germany). It also ships an MCP server, so AI agents like Claude and ChatGPT can render documents directly.
LinkdAPI's answer
Founded in 2024, LinkdAPI was born from our team's frustration with existing LinkedIn data solutions. Our mission is to provide developers and businesses with the most reliable, scalable, and ethical unofficial API for LinkedIn and Sales Navigator data. We've built the solution we wish existed when we were working with LinkedIn's platform - one that handles all the technical complexities so you can focus on building great products.
DynamicDocumentAPI's answer:
Almost every product eventually needs to produce documents, and most teams end up building their own rendering stack: a headless browser, fonts, page breaks, storage and retries. It works until an invoice splits a table row or a certificate shows the wrong date, and then it becomes a support ticket. We built Dynamic Document API to be that layer for them: templates, rendering and delivery as one service, hosted in Europe, treating pagination, fonts and formatting as engineering problems rather than edge cases. When e-invoicing became mandatory for B2B in Germany, we added validated XRechnung and ZUGFeRD output, and with AI agents producing more paperwork, an MCP server followed.
DynamicDocumentAPI's answer:
Most document APIs do one thing: convert HTML to PDF, or fill templates. Dynamic Document API does both, adds image templates, PDF merging and validated e-invoices, and offers them through a REST API, SDKs for Node and Python, Zapier, Make, n8n and an MCP server for AI agents. Data is processed and stored in the EU only, files come back as signed links that expire, and storing nothing at all is a supported option. Pricing is predictable: one published credit table, the same core features on every paid plan and a spend cap you control. We also publish a render-time benchmark with its method and raw data, so you can check our speed instead of trusting a claim. The free plan includes 50 renders a month without a credit card.
DynamicDocumentAPI's answer:
Developers and product teams whose software has to send documents: invoices after a payment, certificates after a course, reports, labels and statements. Typical users are SaaS companies, marketplaces, e-commerce and learning platforms. A second group are businesses in Germany and the EU that need compliant e-invoices (XRechnung, ZUGFeRD) for the German B2B e-invoicing mandate and public-sector buyers. No-code builders use it through Zapier, Make and n8n, and teams building AI agents use the MCP server.
DynamicDocumentAPI's answer:
Rendering runs in Rust workers that drive headless Chromium over the DevTools protocol, with MiniJinja for templates. The API and control plane are built with Django and Django REST Framework, with Celery, PostgreSQL, Valkey and NATS JetStream for queues and events, and S3-compatible object storage for files. PDF/A output is checked with veraPDF and e-invoices with the official KoSIT validator. The dashboard and website are built with Next.js. Everything runs on Kubernetes in data centres in Germany.
DynamicDocumentAPI's answer:
Dynamic Document API is a young product. Our users are mostly developers and small SaaS teams, and we don't name customers without their permission.
Share your experience with using LinkdAPI and DynamicDocumentAPI. For example, how are they different and which one is better?
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