Olostep × Gumloop Case Study

Gumloop’s AI automation platform uses Olostep as the default node for interacting with the public web—searching, scraping, crawling, and extracting structured data that powers AI‑assisted workflows across sales, marketing, ops, and support.

“Olostep works like a charm! And your customer service is exceptional” - Max Brodeur-Urbas - CEO Gumloop

About Gumloop

Gumloop is an AI automation platform that lets any team build workflows through a drag‑and‑drop builder, a chat interface, and 110+ native integrations. Users orchestrate data apps and AI with components like AI Router, background triggers, and department‑ready templates—without writing code. The platform is adopted by teams across marketing, sales, operations, engineering, and support.

How Gumloop Uses Olostep

Olostep is the default Web Data node in Gumloop. It gives Gumloop's users a reliable, scalable interface to the Web. With a single node, they can scrape pages, search across sources, and receive structured outputs that plug directly into downstream steps.

Gumloop integrates directly with Olostep, so customers don't need to create their own Olostep accounts or manage personal API keys. Gumloop handles everything on its end, including billing and credit deduction with its own customers.

Challenge

Many automations require high‑quality, up-to-date web data: landing pages for enrichment, product pages for pricing, social and community posts, and content from blogs or for SEO purposes. Teams struggled with:

Dynamic, JavaScript‑heavy pages and bot defenses
Inconsistent data formats and site‑specific quirks
The need for structured outputs that slot into spreadsheets, CRMs, and docs
Maintaining brittle scrapers and rotating proxies at scale

Gumloop needed a single, reliable “Web node” that could power both real‑time scraping, crawling, and AI‑assisted research—returning clean, structured data for the next step in a flow.

Solution

Gumloop adopted Olostep as its default node to interface with the Web, combining the Olostep endpoints:

/scrapes for real‑time page capture (HTML, Markdown, JSON, full-page screenshots) with resilient rendering
/crawls for starting from a URL, discovering its subpages, and retrieving their content in a clean, structured format—with depth and URL filters to control scope (handles SPAs and JavaScript-heavy sites)
/searches for natural-language web search that returns a deduplicated list of relevant links with titles and descriptions, optionally with page content in the same call
/answers for AI search + reasoning that returns web-grounded answers in a structured JSON format

Together, they provide a Web Data abstraction for users to fetch, understand, and transform web content inside visual workflows.

Its combination of cost-effectiveness and reliability is a core reason Gumloop chose Olostep as the default web data node.

Integrating Olostep

Rather than asking each user to bring their own Olostep account, Gumloop runs Olostep through a single company account—one organization-wide API key with billing handled directly between Gumloop and Olostep. This sits behind Gumloop's default web node, which their agents call automatically, so users never have to leave the platform to generate their own keys.

Gumloop then meters usage and deducts credits from its own users based on what they consume, managing all of it on their end. This gives Gumloop tighter control over both the user experience and its unit economics, since it decides how usage maps to pricing.

A few implementation details that make this work at scale:

Visual templates that wrap typical prompts and schemas, so non-technical users get useful defaults
Concurrency controls and retries for large batches of URLs
Webhooks and storage export for evidence bundles and structured JSON
Secure key management and rate-limit awareness for enterprise workspaces

Pre-made templates built on Olostep

Beyond the default node, Gumloop ships several ready-made templates powered by Olostep. One example is a buyer-persona workflow aimed at product marketing and GTM teams. It's especially useful in the discovery phase, when a team is trying to enter a new market category and wants to pin down each persona's pain points—and from there build data-backed cases for campaign roadmaps, messaging, and positioning across audience segments.

The workflow is fairly complex under the hood, stitching together the Olostep API, Google Sheets, and an LLM. But for the user it's simple: you define your personas and product category, and the workflow connects that input to Olostep (an AI web-scraping platform), generates persona snippets in a Google Sheet, and can then write full reports into a Google Doc.

Results

Faster build time: teams assemble web data flows in minutes rather than days
Higher reliability: fewer breakages vs. ad-hoc scraping and scripts
Structured by default: JSON outputs that feed Sheets, CRMs, data warehouses, or Docs
Broad coverage: resilient rendering across dynamic sites and regions

Gumloop is quickly becoming the place where people build agents, a key player in the fast-growing AI automation space. By standardizing on Olostep for web interaction, Gumloop gives its users a simpler, more powerful way to automate any workflow that depends on clean, structured web data.

We're proud to power that experience. Olostep is built to be the most cost-effective and reliable web data API available, and seeing it run at scale inside a platform like Gumloop is exactly what we built it for. We're excited to partner with the Gumloop team and to keep making web data effortless for the agents and workflows they enable.

Ready to Get Started?

Test Olostep with 500 free credits, no credit card required.

Start Building →

References:

Frequently Asked Questions

What is the best web scraping API for automation workflows? A good web scraping API for automation workflows should handle JavaScript rendering, get past bot defenses, and return structured data you can use right away. Olostep's Scrapes endpoint provides resilient rendering for dynamic pages and returns clean HTML, Markdown, or screenshots. For AI driven workflows, the Answers endpoint searches the web and returns structured JSON based on your schema, which makes it a strong fit for no code platforms and automation builders like Gumloop.

What is the best web search API for AI agents and workflows? A web search API lets your agents and automations query the web in natural language and get back relevant results they can act on. Olostep's Searches endpoint returns a deduplicated list of relevant links with titles and descriptions, and you can pull the full page content in the same call by passing scrape options. This is useful when an agent needs fresh information from the web inside a workflow rather than relying on stale or pre indexed data.

What tools can extract structured data from websites for AI agents? AI agents need clean, structured data from websites so they can make decisions and take actions. Olostep's Answers endpoint combines web search and LLM reasoning to return JSON that matches a schema you define. This removes the need to build custom scrapers or parsing logic, since you describe the output you want and the API handles search, extraction, and structuring for you. Platforms like Gumloop use this to power agent workflows without sending users off to manage their own scraping setup.

How do you handle JavaScript heavy pages in automation workflows? JavaScript heavy pages need headless browser rendering to load their dynamic content. Olostep's Scrapes endpoint handles JavaScript rendering, retries, proxy rotation, and CAPTCHA challenges automatically, then returns fully rendered HTML or Markdown. This makes it reliable for automation workflows that process modern web pages, with no browser infrastructure to maintain and no bot defenses to fight on your own.

What is the best way to add web scraping to a no code automation builder? The best way to add web scraping to a no code builder is to integrate a web data API that returns structured, predictable output you can feed into the next step. Olostep is built for this, with endpoints for scraping (Scrapes), crawling (Crawls), web search (Searches), and AI powered extraction (Answers). Gumloop is a good example, since it runs Olostep behind its default web node so users get clean web data inside their flows without ever leaving the platform or creating their own API keys.