Compare Crawlora's documented, developer-first web data API with Gumloop's no-code canvas for building internal AI agents and automations, where web scraping is one of 100+ workflow node types.
Benchmark
We ran Crawlora’s /web/scrape endpoint once against a stratified sample of 30 public URLs (docs, e-commerce, and anti-bot-protected sites), with the cache bypassed. 21/30 requests returned usable content.
This is Crawlora's own measured reliability on a single disclosed run — not a head-to-head benchmark against Firecrawl, Scrapfly, or any other named competitor. We don't hold API keys for competitor products and won't publish a number for a tool we haven't actually run.
Internally conducted benchmark, run . Last verified . Full methodology and per-URL results.
Short verdict
Crawlora is stronger as a documented data API you can build any product or pipeline on top of. Gumloop is stronger as a no-code, multi-agent workplace platform — scraping survives inside it as one of 100+ prebuilt node types, not as the product's identity.
Quick comparison
Use this table as a starting point, then verify current details on the official provider pages before making a production decision.
| Category | Crawlora | Gumloop |
|---|---|---|
| Primary product type | Developer-first structured web data API (60+ platforms) | No-code AI agent and workflow automation canvas with 100+ prebuilt nodes |
| Delivery model | API, hosted MCP tools, and Playground | Drag-and-drop canvas, Slack/Teams/Gmail-native agent chat, MCP server hosting, and a CLI |
| Best for | Teams building products or pipelines on structured public web data | Ops, GTM, and support teams building internal AI agents and automations without code |
| Web scraping's role in the product | The entire product | One node category among 100+ (AI processing, files, PDFs, notifications, data enrichment, browser actions, business-app integrations) |
| Output format | Normalized JSON per documented endpoint | Whatever the workflow's output node produces — spreadsheet rows, CRM records, Slack messages, generated documents |
| Platform breadth for scraping specifically | 60+ documented, versioned platform endpoints | Generic scraping and browser-action nodes configured per page, not documented platform-specific schemas |
| Agent orchestration | None — it's a data API other agents or platforms call | Full multi-agent orchestration: reasoning agents, scheduled/triggered runs, and Slack/Teams/email-native agent chat |
| Enterprise controls | API keys, usage tracking, credit-based billing | RBAC, SCIM/SAML, VPC deployment, audit logs, and AI model access control on the Enterprise tier |
| Pricing model | One credit pool shared across all endpoints (Growth: $29/mo for 100,000 credits) | Pro from $37/mo for unlimited seats and 20,000+ credits (scales via a credit-amount selector); Enterprise custom |
| MCP support | Hosted MCP tools across the full catalog | MCP server hosting (1 server on Pro) plus MCP integrations for its own workflows |
Details
The right choice depends on output format, target coverage, developer workflow, and how much infrastructure your team wants to operate.
Gumloop has repositioned from a no-code scraping and automation canvas toward a broader "AI agents for your team" platform: reasoning agents that live in Slack, Teams, and email, recurring background tasks, and enterprise controls like VPC deployment and role-based access control. Web scraping survives as one of 100+ prebuilt workflow nodes, not as the product's identity.
The genuine overlap with Crawlora is narrow: Gumloop's canvas includes generic web-scraping and browser-action nodes a workflow can call, comparable in spirit to Crawlora's API but without documented, versioned, platform-specific schemas — you configure a node against a page rather than call a maintained endpoint.
Gumloop's core value beyond scraping is orchestration: canvas-based multi-agent workflows, chat-native agents tagged directly in Slack, Teams, or email, and scheduled or triggered recurring tasks. Crawlora is a data API with no orchestration, scheduling, or chat-agent layer — it expects you, or another platform such as Gumloop, to own that.
Gumloop's Enterprise tier — RBAC, SCIM/SAML, VPC deployment, audit logs, AI model access control — targets IT-governed internal automation. Crawlora has no orchestration layer to govern; its equivalent of governance is API-key scoping and usage tracking on the data layer itself.
Gumloop's Pro plan starts at $37/mo for unlimited seats and 20,000+ credits, scaled via a credit-amount selector, covering agent runs, LLM calls, and node executions across the whole canvas — of which scraping is a fraction. Crawlora's Growth plan is $29/mo for 100,000 credits scoped entirely to structured web data calls. The two aren't priced against the same unit of work.
Most teams evaluating Crawlora want a documented data API to build a product or pipeline on. Most teams evaluating Gumloop want a no-code way to stand up internal AI agents that occasionally need scraping as one step. Some Gumloop workflows could call Crawlora's API directly as their scraping node instead of Gumloop's generic scraper — the most likely way the two end up used together.
Crawlora is designed for responsible public web data workflows. It should not be used for private or protected data, and no comparison page should be read as a guarantee that every target will succeed. Review provider terms, target-site rules, and your own compliance requirements before production use.
Evaluation checklist
Compare based on your real workflow and maintenance burden, not just top-line feature labels.
FAQ
These answers use conservative comparison language and should be verified against the official provider pages for current product and pricing details.
Only partially. Gumloop is a no-code, multi-agent workplace and orchestration platform; Crawlora is the documented data API a workflow like Gumloop's could call for its scraping steps. They solve different core problems.
Gumloop is a no-code platform for building AI agents and automations: a drag-and-drop canvas with 100+ prebuilt nodes, chat-native agents in Slack, Teams, and email, scheduled/triggered runs, and enterprise controls like RBAC and VPC deployment.
Gumloop offers generic web-scraping and browser-action nodes inside its workflow canvas, not documented, platform-specific endpoints like Crawlora's. Crawlora is a dedicated API across 60+ maintained platform endpoints.
No. Crawlora is a data API with no scheduling, multi-agent orchestration, or chat-native agent layer. That's Gumloop's core product.
Gumloop — its canvas, chat-native agents, and enterprise controls are purpose-built for that. Crawlora has no agent-orchestration layer of its own.
Crawlora — its 60+ documented endpoints and normalized JSON are built for that. Gumloop's scraping nodes are generic and configured per page, not documented per platform.
Crawlora's Growth plan is $29/mo for 100,000 credits shared across every endpoint. Gumloop's Pro plan starts at $37/mo for unlimited seats and 20,000+ credits, scaled via a credit-amount selector, with custom Enterprise pricing above that.
Yes. Gumloop offers MCP server hosting (one server on the Pro plan) and MCP integrations for its own workflows, alongside a CLI for developers.
Yes — this is the most common way the two overlap. A Gumloop workflow can call Crawlora's API as its scraping step instead of a generic scraping node, combining Gumloop's orchestration with Crawlora's documented platform coverage.
Last reviewed: . Competitor pricing and features can change. Check each official provider page for the latest details.
Browse endpoint docs, run a Playground request, and compare credit-based pricing before deciding whether Crawlora fits your workflow.