DumplingAI: the AI tool for automating data extraction and supercharging your workflows
Building automations with clean, up-to-date data is one of the biggest challenges for SMEs looking to scale their marketing, sales, or content operations. DumplingAI is an AI-powered data automation platform that offers over 35 API endpoints for extracting, processing, and transforming information from the web, social media, documents, audio, and video. Its core value proposition is delivering LLM-ready data through a single subscription, eliminating the need to combine separate scraping, OCR, transcription, and conversion tools. The platform sits within the data processing for AI and automation category – a segment that’s increasingly relevant for businesses looking to integrate artificial intelligence into their processes.
AgentAya Verdict
This tool is an excellent choice for technical or semi-technical teams that need to feed AI agents and build automations with structured data from multiple sources. Its greatest strength lies in consolidation: instead of subscribing to separate scraping, transcription, OCR, and search services, everything is managed from a single API with a unified credit system. The no-code visual agent builder and integrations with Make, n8n, Zapier, and Pipedream make it accessible to non-developers, although the full experience is better suited to technical users.
We recommend DumplingAI for SMEs that already use automation platforms and need a reliable source of real-time data for their workflows.
Score Breakdown
| Category | Score | Description |
| Features and Functionality | 4.5 ⭐⭐⭐⭐ | Broad catalog of 35 endpoints covering scraping, search, social media, documents, and code execution |
| Integrations | 4 ⭐⭐⭐⭐ | Compatible with Make (native module), n8n, Zapier (beta), Pipedream, and MCP |
| Language and Support | 4 ⭐⭐⭐⭐ | Full English interface and documentation; transcription and AI features support multiple languages |
| Ease of Use | 3.5 ⭐⭐⭐ | The Playground and templates lower the barrier to entry, but the API-first approach requires some technical familiarity |
| Value for Money | 4 ⭐⭐⭐⭐ | Flexible credit-based model with free starter credits; consolidates multiple services into a single subscription |
Overall AgentAya Score: 4 / 5 ⭐⭐⭐⭐
A versatile solution for automating data with AI, backed by a broad feature set and flexible credit-based pricing.
Ideal for:
- SMEs that already work with automation platforms like Make or n8n and need structured, real-time data.
- Content marketing teams looking to automate blog article creation from YouTube videos, news, or web data.
- Developers and technical teams seeking a unified API for scraping, transcription, document extraction, and search.
- Businesses that conduct market research, competitor monitoring, or lead generation based on public data.
Not ideal for:
- Non-technical SMEs looking for a fully turnkey, plug-and-play solution with no API interaction required.
- Organizations with strict legal jurisdiction requirements, as the company does not specify its geographic location or applicable jurisdiction in its terms of service.
Key Features
- 35 API endpoints organized into five categories: web and data extraction, AI and automation, document processing, social media, and search and discovery.
- Web scraping and crawling of entire sites, with AI-powered structured extraction using custom schemas, plus webpage screenshots.
- Social media data extraction: YouTube transcripts and metadata (videos, channels, Shorts, comments), LinkedIn profiles and data (company and individual), and TikTok profiles and transcripts.
- Document processing: PDF conversion, PDF merging, metadata management, and text and structured data extraction from PDFs, DOCX files, images, audio, and video using multimodal AI.
- Real-time search: web search (SERP), Google Maps, Google Places, Google News, Google Reviews, and autocomplete suggestions.
- Code execution in a secure sandboxed environment: JavaScript/TypeScript (with NPM and JSR package imports) and Python.
- No-code visual AI agent builder with a design, test, and deploy workflow in a single click.
- Built-in Playground for live-testing any tool before integrating it into a workflow.
These capabilities allow an SME to centralize on a single platform what would typically require combining separate scraping, OCR, audio and video transcription, web search, and code execution services. This translates into saved development time and reduced technical complexity in automation workflows.
AI Functions
- Multimodal AI data extraction: uses multimodal language models to extract structured data from documents, images, audio, and video – not just plain text, but specific fields such as entities, totals, and form fields.
- Intelligent web extraction: lets users define custom schemas so the AI can extract specific data from any webpage.
- Configurable AI agents: each agent can combine up to 10 tools from the catalog (transcription, web search, image generation, among others) with custom instructions.
- AI image generation powered by the FLUX.1-dev model.
- Real-time web search integrated via Perplexity, enabling agents to access up-to-date information.
DumplingAI does not develop its own AI models. Instead, it orchestrates third-party services such as OpenAI, Anthropic, Perplexity, and Groq to deliver its intelligent capabilities. What is genuinely AI-powered is the structured extraction with custom schemas and the agent orchestration that combines multiple tools. Basic conversion features (PDF to text, video trimming) are standard processing with no AI component.
Integrations
- Make: native module available in the Make app directory, with unified authentication.
- n8n: integration via the HTTP Request node with an API key.
- Zapier: app in beta, works through Webhooks by Zapier with POST actions.
- Pipedream: integration via native code steps using JavaScript or Python.
- MCP (Model Context Protocol): hosted server compatible with Claude Code, Claude Desktop, Codex (OpenAI), and Cursor.
- Google Sheets: used in automation templates for storing extracted data.
The platform provides a full REST API with 35 documented endpoints, accessible from any programming language or platform that supports HTTP calls.
Data Security and Compliance
DumplingAI mentions SOC 2 compliance and enterprise-grade security in its B2B-oriented marketing materials. Regarding data ownership, its privacy policy states that user-provided data may be used to “train” the AI and improve the service – a consideration worth noting for businesses handling sensitive information.
On data protection regulations, DumplingAI declares GDPR compliance and extends data access and deletion rights to all users regardless of geographic location. Non-personal data is shared with third parties for analytics (PostHog, Google), payment processing (Stripe), and AI processing (OpenAI, Anthropic, Perplexity, Groq).
Language: Customer Support and Interface
DumplingAI’s dashboard, API documentation, automation guides, and blog are all in English. Support is in English as well, with the level of assistance varying by plan.
AI Language
This tool does not have proprietary AI models, as detailed in the AI Functions section. Features such as YouTube and TikTok transcription let users select a language, with support for multiple languages including French, Japanese, and others. At the API level, this selection is handled through the preferredLanguage parameter. Pre-built agents can also respond in multiple languages.
Mobile Access
DumplingAI does not offer an official mobile app and operates through the browser.
Support, Onboarding, and Account Management
The onboarding process is straightforward: upon signing up, users receive 500 welcome credits and are guided to create an API key right away. Users can manage up to 25 simultaneous API keys, with the ability to delete and regenerate them in case of a leak. The main dashboard offers three entry points: connect via MCP, get started with the API, or run tests in the interactive Playground. Integration instructions for the API documentation, Make, Zapier, and MCP are accessible directly from the API keys section.
The platform includes a library of over 48 automation guides organized by platform (Make, n8n, Zapier, Pipedream), each with setup steps, automation ideas, and technical checks. The blog publishes hands-on tutorials on a regular basis. Pre-built automation templates cover common use cases such as Google Places scraping, PDF file extraction, and blog article generation.
The level of support varies by plan: basic (Starter), standard (Pro), or priority (Business). The primary contact channel is email. For businesses with more complex needs, the team offers assistance in designing custom enterprise workflows.
Ease of Use / UX
This tool has a moderate learning curve. The Playground lets users test endpoints without any prior setup, and the templates reduce time-to-first-result. The visual agent builder simplifies AI workflow creation without code, following a three-step process: design, test, and deploy. However, for non-technical SMEs, the predominantly API-oriented approach may pose an obstacle.
Price and Plans
DumplingAI operates on a credit-based model. Each API request consumes between one and several credits depending on the endpoint and the parameters used. Only successful requests incur a charge.
Upon signing up, users receive 500 welcome credits at no cost and with no expiration. From there, the pay-as-you-go model lets users purchase credit packs that never expire – ideal for occasional use. When usage becomes predictable, monthly subscription plans offer a lower per-credit cost, with an annual payment option that includes two months free.
Three subscription plans are available, differentiated by monthly credit allowance, request speed (requests per minute), and support level. All plans include full API access with no feature restrictions. Subscription credits do not roll over from month to month, but additional credit packs are permanent and are consumed after the monthly allowance. An auto-recharge feature can be configured, and users can upgrade or downgrade at any time. Cancellation is immediate, with no charges or questions asked. For higher volumes, direct contact is available for enterprise options.
Case Study
A digital marketing agency that manages social media and blog content for five SME clients. Before DumplingAI, the team spent roughly two days per week manually transcribing each client’s YouTube videos, researching trends on Google News, and extracting Google Maps review data to compile reputation reports. With DumplingAI integrated into their automation workflow, the agency set up scenarios that automatically extract transcripts from each channel’s new videos, search for relevant industry news, and collect the latest Google reviews. This data feeds an AI agent that generates blog article drafts and weekly summaries.
The team went from spending two days a week on data collection to investing that time in editing and customizing content – multiplying their production capacity without increasing headcount.
DumplingAI vs Alternatives
| Aspect | DumplingAI | Make |
| Core focus | Unified data API with extraction, scraping, and AI agents | No-code visual automation platform with over 3,300 native integrations |
| Native integrations | Make (native module), n8n, Zapier (beta), Pipedream, MCP | Over 3,300 apps, including 400 AI tools |
| Visual editor | AI agent builder with a design, test, and deploy workflow | Node-based scenario editor with full flow view |
| Free plan | 500 welcome credits (no expiration, no recurring free plan) | 1,000 monthly credits, 2 active scenarios |
| AI features | Multimodal AI extraction, configurable agents (up to 10 tools), image generation | AI Agents, MCP Server, AI Content Extractor, AI Web Search, AI Tools (9 modules) |
| Code execution | JavaScript/TypeScript and Python in a sandboxed environment | JavaScript and Python built into scenarios |
| MCP server | Yes, hosted (Claude Code, Claude Desktop, Codex, Cursor) | Yes (Make MCP Server, all plans) |
| Billing model | Credit-based (varies by endpoint and parameters) | Credit-based (per module action) |
DumplingAI and Make are complementary tools rather than direct competitors. The former specializes in extracting and processing data from multiple sources (web, social media, documents, video, audio), while Make focuses on orchestrating and automating workflows across applications. In fact, DumplingAI offers a native module within Make, allowing users to combine DumplingAI’s data extraction with Make’s visual automation in a single scenario.
Other alternatives that may prove useful depending on specific needs include Zapier (task automation and app-to-app connections), Parabola (data manipulation and visualization), Airtable (combines spreadsheets with databases for project management), and Notion (an all-in-one tool for task management, notes, and databases).
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FAQs
Is DumplingAI a good option for SMEs?
Yes, especially for SMEs that already work with automation platforms.
What integrations does DumplingAI offer?
It includes a native module for Make, compatibility with n8n (via HTTP Request), Zapier (in beta, via Webhooks), Pipedream, and a hosted MCP server compatible with Claude Code, Codex, and Cursor. It also offers a REST API accessible from any platform.
Does DumplingAI offer a free plan?
It does not offer a free plan as such, but users receive 500 welcome credits at no cost and with no expiration upon signing up.
What are the best alternatives to DumplingAI?
Make is the most complementary tool, as it lets users orchestrate automation workflows where DumplingAI serves as the data source. Other alternatives include Zapier, Parabola, Airtable, and Notion, each with a different focus depending on the user’s needs.