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DumplingAI

4.3 (1 User Ratings)
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One API key, one balance — replace your entire web scraping, search, social data, and enrichment vendor stack for AI agents.

Free Trial: Starting at $40/mo
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Updated: June 11, 2026
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DumplingAI in Action: The Data Layer Your AI Agents Actually Need

DumplingAI is a unified data API platform built for developers, automation operators, and AI agent builders who are tired of managing five separate vendor subscriptions just to get clean web data into their workflows.

Instead of paying for a search API, a scraping tool, a YouTube transcript service, a LinkedIn enrichment provider, and a Google Reviews extractor separately, DumplingAI puts all 50+ data capabilities behind one API key, one balance, and one bill.

It works natively with Claude Code, Cursor, Codex, Make.com, n8n, and any HTTP-based automation stack — making it one of the most practical data layers available for AI-first teams in 2026.

Key Capabilities

DumplingAI covers six core data job categories from a single endpoint. The Search suite handles web search, news, Google Maps, and autocomplete lookups through smart routing across Serper, Perplexity, and DataForSEO — you pick the provider or let DumplingAI route automatically.

The Scraping suite fetches clean markdown or HTML from static pages, JavaScript-rendered apps, and full multi-page crawls using Firecrawl, SpiderCloud, and native routes. The Documents suite turns PDFs and files into clean text or structured JSON using schema-based extraction.

The Social Data suite pulls YouTube transcripts, video metadata, TikTok transcripts, LinkedIn company and profile data, and Google Reviews through the same auth layer.

The Enrichment suite verifies emails, enriches domains, and pulls company context via Hunter or the unified catalog. And the Media and Automation suite handles screenshots, browser-capable crawl jobs, and JavaScript/TypeScript code execution — all in one stack.

For teams who need provider-specific behavior, DumplingAI supports native endpoint pinning (e.g., `firecrawl.scrape`, `serper.search`, `perplexity.search`) alongside broad capabilities, giving you exact upstream control without losing centralized logging and spend visibility.

Who Gets the Most Out of It

AI agent builders using Claude Code, Cursor, or Codex get immediate value from DumplingAI's MCP Server integration — connect via `https://mcp.dumplingai.com/mcp/v2` in one line with OAuth, no API key required, and your agent instantly gains access to the full data catalog.

Automation operators running n8n or Make.com workflows use DumplingAI as a structured data source for lead enrichment, competitor monitoring, content repurposing, and customer review analysis — piping clean JSON directly into GPT-4 or Claude for downstream summarization and scoring.

Developers building data-intensive SaaS products benefit from the unified billing, rate-limit controls, and per-request cost transparency that replace the chaos of managing multiple vendor minimums.

Is It Worth It?

At $40/month billed annually for the Starter plan (1.2 million credits/year), DumplingAI is cost-effective for small automation teams running moderate workloads — particularly when you factor in the subscriptions it replaces.

The Pro plan at $124/month gives 4.2 million credits/year at 60 requests per minute, which covers most production-level agent workflows.

The main caveat is credit consumption: high-cost endpoints like structured document extraction and LinkedIn profile enrichment burn credits faster than basic search or scrape operations, so teams running large batches need to model their credit spend carefully before committing to a plan. For teams already paying for three or more separate data vendor subscriptions, the consolidation ROI is immediate.

DumplingAI is a unified web data API platform built for AI agent developers, automation operators, and no-code builders who need clean, structured data from the web, social media, documents, and business profiles — all through one API key and one credit balance.

It offers 50+ data capabilities including web scraping, Google search, YouTube transcripts, LinkedIn enrichment, Google Reviews extraction, PDF-to-text, and browser automation, with smart routing across providers like Serper, Firecrawl, and DataForSEO.

The platform supports direct API access, a CLI, an MCP Server for AI agents like Claude Code and Cursor, and native integrations with Make.com and n8n.

• Unified API with Smart Routing — One API key covers 50+ data capabilities across search, scraping, social data, enrichment, documents, and media, with DumplingAI automatically routing each request to the best available provider for higher success rates and reliability.

• Web Scraping Suite — Fetches clean markdown or HTML from static pages, JavaScript-rendered apps, and multi-page crawls using Firecrawl, SpiderCloud, and native routes — no brittle scrapers to maintain or infrastructure to manage.

• Social & Platform Data Extraction — Pulls YouTube transcripts, video metadata, TikTok transcripts, LinkedIn company and profile data, Google Reviews, and Google Maps data through the same auth layer and billing balance as every other capability.

• MCP Server for AI Agents — Connects Claude Code, Cursor, Codex, and ChatGPT to the full DumplingAI data catalog via `https://mcp.dumplingai.com/mcp/v2` using OAuth — no API key required, letting AI agents call real-time web data natively during task execution.

• Document Extraction — Converts PDFs and documents into clean plain text or structured JSON using schema-based extraction, making document data immediately usable for RAG pipelines and downstream AI workflows.

• Native Endpoint Pinning — Lets you pin a specific provider endpoint (e.g., `firecrawl.scrape`, `serper.search`, `perplexity.search`) when you need exact upstream behavior, quirky niche features, or predictable output format — while still keeping auth, logs, and spend in one place.

• People & Company Enrichment — Verifies emails, enriches domains, and pulls structured company context through Hunter and the unified catalog, replacing standalone enrichment vendor subscriptions for outbound lead workflows.

• Auto Recharge & Credit Packs — Automatically purchases additional credits when your balance drops below a configurable threshold, ensuring continuous agent operation without manual top-ups or plan upgrades during usage spikes.

Pros
  • ✔One API key and one balance replace 4–5 separate vendor subscriptions for search, scraping, transcripts, enrichment, and social data
  • ✔MCP Server integration lets Claude Code, Cursor, and Codex agents call real-time web data in one line with OAuth — no API key setup needed
  • ✔Smart routing automatically selects the best provider per capability, improving success rates without any manual configuration
  • ✔Per-request cost and latency logging gives full spend visibility for every agent call — essential for production cost modeling
  • ✔Only charges for successful requests — failed API calls never consume credits
  • ✔Credit Packs never expire and cover usage spikes without forcing permanent plan upgrades
  • ✔Native Make.com, n8n, and Zapier support makes it immediately usable in no-code automation stacks
Cons
  • ×No permanent free plan — only a free trial before requiring a paid subscription
  • ×High-credit endpoints like structured document extraction and LinkedIn enrichment can drain credits quickly on the Starter plan without careful workflow design
  • ×Rate limits are relatively low on Starter (30 req/min) and may bottleneck high-frequency agent workflows needing real-time data at scale
  • ×Credits do not roll over month-to-month on subscription plans — unused credits are lost at the end of each billing cycle
  • ×Platform is developer and automation-operator focused — non-technical users without API or no-code tool experience will face a steep setup curve

DumplingAI is purpose-built for builders and operators who need reliable, structured web data flowing into AI agents and automation workflows.

• AI agent developers using Claude Code, Cursor, or Codex — the MCP Server integration gives agents direct access to 50+ live data capabilities in one line of setup, making DumplingAI the fastest path to grounding agents in real-time web context.

• Automation operators on Make.com and n8n — DumplingAI acts as a structured data source for lead enrichment, competitor research, YouTube content repurposing, and Google Reviews analysis pipelines, feeding clean JSON directly into downstream GPT-4 or Claude processing steps.

• Developers building data-intensive SaaS products — unified billing, per-request logging, configurable rate limits, and auto recharge replace the operational overhead of managing multiple scraping and data vendor contracts simultaneously.

• Marketing and growth teams running research-heavy workflows — pull competitor Google Reviews, LinkedIn company profiles, YouTube video transcripts, and Google Maps data into a single spreadsheet or CRM enrichment pipeline without writing custom scrapers.

Starter ($40/mo billed annually)1,200,000 credits per year, 30 requests per minute, access to all 50+ data capabilities, one API key and one balance, MCP Server access, CLI access, Make.com and n8n integration, basic support, auto recharge and credit packs available.
Pro ($124/mo billed annually)4,200,000 credits per year, 60 requests per minute, access to all 50+ data capabilities, one API key and one balance, MCP Server access, CLI access, Make.com and n8n integration, standard support, auto recharge and credit packs available.
Business ($249/mo billed annually)9,600,000 credits per year, 120 requests per minute, access to all 50+ data capabilities, one API key and one balance, MCP Server access, CLI access, Make.com and n8n integration, priority support, auto recharge and credit packs available.
Enterprise (Custom)Volume plans above Business tier available on request via [email protected] — custom credit allocations, higher rate limits, dedicated support, and SLA options for high-volume production agent deployments.

DumplingAI stands apart from single-purpose scraping and data tools by functioning as a true unified data layer purpose-built for AI agent infrastructure.

• MCP Server with OAuth for AI Agents — DumplingAI is one of the only data APIs with a first-class MCP Server (`https://mcp.dumplingai.com/mcp/v2`) that lets Claude Code, Cursor, Codex, and ChatGPT call live web data natively during agent task execution — with OAuth sign-in instead of manual API key management, reducing friction to near zero for agent developers.

• Smart Provider Routing Across the Entire Stack — Instead of committing to a single scraping or search vendor, DumplingAI routes each request to the best available provider (Serper, Firecrawl, Perplexity, DataForSEO, SpiderCloud) automatically, improving reliability and data quality without any manual failover logic in your code.

• Native Endpoint Pinning for Exact Upstream Control — When you need a specific vendor's quirky behavior or niche feature (e.g., Perplexity's live web reasoning or Firecrawl's structured extraction), you pin the native endpoint directly — no separate account, no separate billing, no separate API key — while keeping all auth and spend consolidated.

• Charge-Only-on-Success Credit Model — Unlike most API platforms that charge per request regardless of outcome, DumplingAI only deducts credits for successful responses, which meaningfully reduces wasted spend on transient scraping failures, bot-detection blocks, or provider outages.

DumplingAI is designed to slot into any modern AI agent or automation stack without friction.

• Claude Code, Cursor, Codex, and ChatGPT — connects via MCP Server at `https://mcp.dumplingai.com/mcp/v2` using OAuth, giving AI coding agents and assistant agents direct access to the full 50+ capability catalog during task execution.

• Make.com — native DumplingAI module available in the Make.com app marketplace, supporting YouTube transcript extraction, Google Reviews scraping, web search, AI agent completion, and JavaScript code execution as modular scenario steps.

• n8n — integrates via API key as an HTTP node or using pre-built n8n workflow templates, enabling structured data pulls for lead enrichment, content repurposing, and competitor research automation pipelines.

• Direct REST API and CLI — call `/api/v2/run` with a Bearer token from any codebase, or use `npx dumplingai` from the terminal to run capabilities, search the data catalog, and inspect endpoint details without opening a browser.

CategoryScoreWhy It Matters
Accuracy & Reliability4.4/5DumplingAI's smart routing across multiple providers (Serper, Firecrawl, Perplexity, DataForSEO) delivers higher scraping success rates than single-vendor alternatives by automatically falling back to alternative routes when one provider fails. The charge-only-on-success credit model confirms the platform's commitment to only billing for verified results. User reviews on ManuallyReviewed.com consistently rate reliability at 4–5 stars, with the primary gap being occasional YouTube channel metadata mismatches when discovery endpoints surface unrelated content.
Ease of Use3.8/5For developers and no-code automation operators, DumplingAI is well-documented with clear setup guides for API, CLI, MCP, Make.com, and n8n — the official docs at docs.dumplingai.com cover all connection paths with working code examples. For non-technical users, however, the platform requires comfort with API keys, JSON, or automation platform workflows before delivering any value, which represents a genuine setup barrier compared to GUI-based tools.
Functionality & Features4.6/550+ data capabilities spanning search, scraping, social data, document extraction, enrichment, media, and browser automation under one subscription is genuinely comprehensive — covering the core external data jobs that AI agents need without assembling a multi-vendor stack. The MCP Server with OAuth for AI agent clients is a standout differentiator that most competing data APIs have not yet implemented. The only notable capability gap is the absence of real-time streaming or webhook-based delivery for long-running crawl jobs.
Performance & Speed4.2/5Most lightweight capabilities like web search, YouTube transcript extraction, and single-page scraping return responses in under 2 seconds. Smart routing actively reduces latency by selecting the fastest available provider per request. The Starter plan's 30 requests/minute rate limit is the primary performance bottleneck for high-frequency agent workflows, with the Business plan's 120 req/min ceiling covering most production-scale use cases.
Customization & Flexibility4.5/5DumplingAI's dual-mode architecture — broad capabilities for automatic routing and native endpoint pinning for exact provider control — gives teams precise flexibility over how each data request is handled without changing their auth or billing setup. Auto Recharge thresholds are fully configurable, Credit Packs can be purchased on demand, and rate limits scale cleanly across plan tiers. The credit cost transparency per endpoint makes automation cost modeling straightforward, which LinkStart AI testing confirmed.
Data Privacy & Security4.0/5DumplingAI uses standard Bearer token authentication for API access and OAuth for MCP Server connections, with all requests logged per call for audit and spend visibility. The platform does not store scraped page content beyond the response cycle. However, DumplingAI has not published a SOC 2 certification or detailed security whitepaper publicly, which is a compliance gap for enterprise teams with formal data security requirements.
Support & Resources4.1/5The official docs at docs.dumplingai.com are well-structured, covering API v2, MCP Server, CLI, Make.com, n8n, and web scraping with working examples. The official YouTube channel (UC9GJtMZVb0mKFlbvpyr8F5Q) publishes tutorial videos on agent workflows and automation use cases. Business plan users receive priority support. Starter plan users rely on basic support only, with no SLA commitment, which is a consideration for teams running production workflows on the entry-level plan.
Cost-Efficiency4.3/5At $40/month (Starter) for 1.2M credits/year covering 50+ data capabilities, DumplingAI is significantly more cost-efficient than maintaining separate subscriptions for a search API ($50–$99/mo), a scraping tool ($49–$99/mo), a transcript service ($20–$49/mo), and an enrichment provider ($49–$99/mo) simultaneously. The charge-only-on-success model prevents credit waste on failed requests. The main cost risk is high-credit endpoint overuse on the Starter plan — teams running large LinkedIn enrichment or document extraction batches will realistically need the Pro plan at $124/month.
Overall Score4.3/5DumplingAI is the most practical unified data layer available in 2026 for AI agent developers and automation operators who need multi-source web data without managing a fragmented vendor stack. Its MCP Server integration, smart routing, charge-only-on-success model, and 50+ capability catalog deliver genuine infrastructure value at a fair price point. The primary limitation is the developer-first setup requirement — teams without API or no-code automation experience will need ramp-up time before realizing the platform's full potential.

DumplingAI is the most practical unified data layer for AI agent developers and automation operators who are currently paying for multiple scraping, search, transcript, and enrichment vendor subscriptions — replacing that entire stack with one API key, one balance, and one bill starting at $40/month.

It delivers the most value for teams building production AI agents on Claude Code, Cursor, or n8n who need reliable, real-time web data without brittle scraper maintenance.

Teams without existing automation or API workflows will face a setup learning curve, but for the audience it's built for, DumplingAI meaningfully reduces both cost and infrastructure complexity.

Q1.What is DumplingAI and what does it do?
Ans:-DumplingAI is a unified web data API platform that gives AI agents and automation workflows access to 50+ data capabilities — including web scraping, Google search, YouTube transcripts, LinkedIn enrichment, Google Reviews, PDF extraction, and browser automation — through one API key and one credit balance. It replaces the need to manage multiple separate vendor subscriptions for each data type. It works with Claude Code, Cursor, Codex, Make.com, n8n, and any HTTP-based stack.
Q2.How much does DumplingAI cost per month?
Ans:-DumplingAI offers three paid plans billed annually: Starter at $40/month (1.2M credits/year, 30 req/min), Pro at $124/month (4.2M credits/year, 60 req/min), and Business at $249/month (9.6M credits/year, 120 req/min). Enterprise plans with custom credit allocations and higher rate limits are available by contacting [email protected]. A free trial is available for new users.
Q3.What are DumplingAI credits and how do they work?
Ans:-Credits are the billing unit for all DumplingAI API requests — each capability consumes a different number of credits depending on the action and parameters used. Simple operations like web search cost fewer credits than complex tasks like structured document extraction or LinkedIn profile enrichment. DumplingAI only charges credits for successful requests, and you can purchase Credit Packs that never expire to cover usage spikes.
Q4.Does DumplingAI have a free plan?
Ans:-DumplingAI does not offer a permanent free plan. New users can access a free trial to test the platform before committing to a paid tier. After the trial, a Starter ($40/month billed annually), Pro ($124/month), or Business ($249/month) subscription is required to continue using the API.
Q5.How does DumplingAI connect to Claude Code, Cursor, or Codex?
Ans:-DumplingAI provides a first-class MCP Server at `https://mcp.dumplingai.com/mcp/v2` that connects AI coding agents like Claude Code, Cursor, and Codex to the full data catalog using OAuth sign-in — no manual API key required. For Claude Code, the one-liner is: `claude mcp add dumplingai --transport http https://mcp.dumplingai.com/mcp/v2`. Once connected, agents can call live web data natively during task execution.
Q6.Can DumplingAI scrape LinkedIn profiles and company data?
Ans:-Yes. DumplingAI supports LinkedIn company and profile data extraction through its Social Data capability suite, providing structured JSON output for use in lead enrichment, outbound personalization, and CRM population workflows. This is handled through the same API key and credit balance as every other DumplingAI capability, with no separate LinkedIn vendor subscription needed.
Q7.Does DumplingAI work with Make.com and n8n?
Ans:-Yes. DumplingAI has a native module in the Make.com app marketplace and pre-built workflow templates for n8n, covering YouTube transcript extraction, Google Reviews scraping, web search, AI agent completion, and JavaScript code execution as modular automation steps. You connect using your DumplingAI API key as a credential in either platform.
Q8.What is smart routing in DumplingAI?
Ans:-Smart routing means DumplingAI automatically selects the best available provider for each capability — for example, routing a search request to Serper, Perplexity, or DataForSEO based on reliability, latency, and output quality — without any configuration on your end. You can also override smart routing and pin a specific native provider endpoint when you need exact upstream behavior or niche features from a specific vendor.
Q9.Do DumplingAI credits roll over each month?
Ans:-No. Subscription plan credits do not roll over into subsequent months — unused credits expire at the end of each billing cycle. However, Credit Pack credits purchased separately never expire and are consumed after your regular subscription credits are used up, making them ideal for handling occasional usage spikes without permanently upgrading your plan.
Q10.What are the main limitations of DumplingAI?
Ans:-The main limitations are that the Starter plan's rate limit of 30 requests per minute can bottleneck high-frequency agent workflows, and high-cost endpoints like structured document extraction and LinkedIn enrichment drain credits significantly faster than basic search or scrape operations. The platform is developer and automation-operator focused, so non-technical users without API or no-code tool experience will face a meaningful setup learning curve before seeing value.

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