Best Gumloop Alternatives in 2026 (No-Code & API Compared)

Gumloop started as a no-code scraping and automation canvas. Its live homepage tells a different story now: chat-native AI agents that live in Slack, Teams, and Gmail, VPC deployment, role-based access control, and MCP server hosting, backed by a $50M Series B led by Benchmark. Web scraping is still in there — one of 100+ prebuilt node types — but it's no longer the product's identity. That repositioning matters for anyone searching "Gumloop alternatives," because it splits the search into two genuinely different needs.

What are you actually looking for?

Most people who land on a "Gumloop alternatives" search fall into one of two groups, and they need different answers:

• You want a different no-code platform for building internal AI agents — reasoning agents in Slack or Teams, scheduled or triggered automations, enterprise controls like RBAC and VPC deployment. This is Gumloop's real competitive set today, and web scraping is a minor part of it.
• You specifically used (or evaluated) Gumloop's web-scraping node and want a dedicated scraping API or data layer instead of a generic canvas node. This is a narrower, more technical need, and it's where Crawlora and Apify fit — as something you'd plug into an automation platform, not as a replacement for one.

If you want a different no-code AI-agent platform

This is the larger group, and Gumloop's actual peers here are automation and agent-orchestration platforms, not scraping tools:

• Zapier — the largest, most established no-code automation platform, with the widest app-integration catalog.
• Make — a visual, node-based automation builder with a similar canvas feel to Gumloop's own interface.
• n8n — an open-source-first automation platform you can self-host, for teams that want more control over where workflows run.
• Relevance AI — a no-code platform focused specifically on building and orchestrating AI agents for business teams.

Zapier, Make, n8n, and Relevance AI each let you build multi-step automations and, increasingly, AI-agent workflows without code — the same core value proposition Gumloop has shifted toward. None of them are scraping-first products any more than Gumloop is now; evaluate them on orchestration model, integration breadth, self-hosting options, and pricing, not on scraping capability.

When to choose one of these: you want a no-code canvas for internal automations or AI agents, and web scraping — if you need it at all — is one small step in a larger workflow, exactly the role it now plays inside Gumloop itself.

If you specifically want a different scraping API

This is the narrower, more technical need: you tried Gumloop's generic web-scraping or browser-action node and want a dedicated, documented scraping API instead — something you'd call directly, or plug into whatever automation platform you land on, including Gumloop.

1. Crawlora — a scraping API to plug into your automation platform, not a Gumloop replacement

Crawlora is a documented, developer-first API across 60+ platforms, returning normalized JSON per endpoint. It is not trying to be a no-code agent platform, and it has no orchestration, scheduling, or chat-agent layer of its own — that's not the comparison:

curl -s -X POST "https://api.crawlora.net/api/v1/google/map/search" \
  -H "x-api-key: $CRAWLORA_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{"keyword": "coffee shop", "location": "Austin, TX", "limit": 10}'

{
  "code": 200,
  "msg": "OK",
  "data": {
    "result": [
      { "title": "Example Coffee Shop", "rating": 4.5, "reviews": 320, "address": "123 Example St, Austin, TX" }
    ]
  }
}

The realistic overlap with Gumloop, spelled out plainly on Crawlora vs Gumloop: a Gumloop workflow can call Crawlora's API as its scraping step instead of a generic, configure-per-page node — combining Gumloop's orchestration with a documented, versioned platform catalog.

When to choose it: you want a stable, documented schema for a scraping step inside a larger workflow — whether that workflow lives in Gumloop, Zapier, Make, n8n, or your own code — not a replacement for the orchestration layer itself.

2. Apify — prebuilt scrapers with both no-code and code paths

Apify sits closer to where Gumloop used to be positioned: an actor marketplace with thousands of prebuilt scrapers, usable no-code or with custom code, plus scheduling and storage. See Apify alternatives for the deeper comparison.

When to choose it: you want a platform that's still scraping-first — prebuilt scrapers for popular targets, with the option to write custom Actors — rather than a general-purpose automation canvas that happens to include a scraping node.

Gumloop's pricing, in plain terms

Gumloop's plans are seat- and credit-based, covering its whole canvas, not just scraping:

• Pro: from $37/month for unlimited seats and 20,000+ credits, scaled via a credit-amount selector.
• Credits cover agent runs, LLM calls, and node executions across the entire canvas — scraping is a fraction of that usage, not the unit being priced.
• Enterprise: custom pricing, adding RBAC, SCIM/SAML, VPC deployment, audit logs, and AI model access control.
• MCP server hosting is included (one server on Pro), alongside MCP integrations for Gumloop's own workflows.

None of this makes Gumloop expensive for what it now is — an enterprise automation and agent platform priced like one. It just means comparing Gumloop's credit cost to a dedicated scraping API's credit cost is comparing different units of work; if scraping is your whole use case, price it against Crawlora or Apify directly, not against Gumloop's canvas-wide credit pool.

Where these actually compete

• Zapier, Make, n8n, Relevance AI vs Gumloop: genuine competition — all are no-code automation or agent-orchestration platforms targeting the same buyer.
• Crawlora, Apify vs Gumloop: narrow overlap — only Gumloop's generic scraping/browser-action node competes with a dedicated scraping API, and most buyers of one aren't buyers of the other.
• Crawlora, Apify with Gumloop: the most realistic combination for teams that already use Gumloop and want a more reliable scraping step inside it.

How to choose

1. Are you building internal AI agents and automations, or looking for a dedicated scraping API? These are different purchases even though both show up under "Gumloop alternatives."
2. If it's automation and agents, how do Zapier, Make, n8n, and Relevance AI compare on integration breadth, self-hosting, and pricing for your team?
3. If it's scraping specifically, do you want a documented API to call directly (Crawlora), or a platform with prebuilt scrapers and a no-code/code hybrid model (Apify)?
4. Could you keep Gumloop for orchestration and swap only its scraping node for a dedicated API — the combination many teams actually land on?
5. Does your evaluation need enterprise controls like RBAC, SCIM, or VPC deployment? That's a Gumloop-vs-automation-platform question, not a scraping-API question.

If you came here wanting a different no-code AI-agent platform, Zapier, Make, n8n, or Relevance AI are the right category, not a scraping API. If you came here wanting a better scraping step, Crawlora or Apify are the fit — most usefully as something you plug into whichever automation platform you land on, Gumloop included.

Need a documented scraping step for an automation workflow?

Call Crawlora directly, or plug it into Gumloop, Zapier, Make, or n8n as the scraping node. 60+ documented endpoints, billed only on success, 2,000 free credits a month.

Try the PlaygroundCrawlora vs Gumloop

Next steps

Try it first, free: turn any URL into clean Markdown with the Free Web Scraper — no signup, no API key.

Compare options on the comparison index, test a Crawlora endpoint in the Playground, browse the API docs, and wire data into an agent with the hosted MCP server.

Sources

Related reading

• Apify Alternatives — for a platform that stays scraping-first with both no-code and code paths.
• Thunderbit Alternatives — another no-code AI scraper repositioning comparison, aimed at non-developers.
• Hunter.io and Apollo.io Alternatives — for lead pipelines built on public data instead of a contact database.