Grow Therapy provider search

Search Grow Therapy for therapists by location, insurance, and specialty — with cached reruns.

This tutorial builds a provider search tool for Grow Therapy — a therapy marketplace that handles insurance credentialing for providers. We combine structured output with saved scripts to build a fast, repeatable search pipeline.

What you’ll build

A script that:

1. Searches Grow Therapy’s provider directory with filters (location, insurance, specialty)
2. Extracts therapist profiles with ratings and availability
3. Caches the search so you can sweep across geographies or specialties instantly

---

Setup

Python

import asyncio
import json
from pydantic import BaseModel
from browser_use_sdk.v3 import AsyncBrowserUse

client = AsyncBrowserUse()

import { BrowserUse } from "browser-use-sdk/v3";
import { z } from "zod";

const client = new BrowserUse();

1. Define the output schema

Python

class Provider(BaseModel):
    name: str
    title: str
    specialties: list[str]
    insurance_plans: list[str]
    rating: float | None = None
    next_available: str | None = None

class ProviderSearch(BaseModel):
    providers: list[Provider]
    total_found: int | None = None
    location: str
    specialty: str

const ProviderSearch = z.object({
  providers: z.array(z.object({
    name: z.string(),
    title: z.string(),
    specialties: z.array(z.string()),
    insurancePlans: z.array(z.string()),
    rating: z.number().nullable(),
    nextAvailable: z.string().nullable(),
  })),
  totalFound: z.number().nullable(),
  location: z.string(),
  specialty: z.string(),
});

2. Create a workspace

Python

workspace = await client.workspaces.create(name="grow-therapy-search")

const workspace = await client.workspaces.create({ name: "grow-therapy-search" });

3. Search for providers

Python

result = await client.run(
    "Go to growtherapy.com and search for therapists in {{New York}} "
    "who specialize in {{anxiety}} and accept insurance. "
    "Return the first 5 provider profiles as JSON.",
    workspace_id=str(workspace.id),
    output_schema=ProviderSearch,
)

for p in result.output.providers:
    print(f"{p.name} ({p.title})")
    print(f"  Specialties: {', '.join(p.specialties)}")
    print(f"  Rating: {p.rating}")
    print(f"  Next available: {p.next_available}")
    print()

const result = await client.run(
  "Go to growtherapy.com and search for therapists in {{New York}} " +
  "who specialize in {{anxiety}} and accept insurance. " +
  "Return the first 5 provider profiles as JSON.",
  { workspaceId: workspace.id, schema: ProviderSearch },
);

for (const p of result.output.providers) {
  console.log(`${p.name} (${p.title})`);
  console.log(`  Specialties: ${p.specialties.join(", ")}`);
  console.log(`  Rating: ${p.rating}`);
  console.log(`  Next available: ${p.nextAvailable}`);
}

4. Sweep across locations and specialties

After the first run caches the search flow, sweep across different parameters at $0 LLM cost:

Python

locations = ["Los Angeles", "Chicago", "Houston", "Miami"]
specialties = ["depression", "trauma", "ADHD"]

for location in locations:
    for specialty in specialties:
        result = await client.run(
            f"Go to growtherapy.com and search for therapists in {{{{{location}}}}} "
            f"who specialize in {{{{{specialty}}}}} and accept insurance. "
            f"Return the first 5 provider profiles as JSON.",
            workspace_id=str(workspace.id),
            output_schema=ProviderSearch,
        )
        count = len(result.output.providers)
        print(f"{location} / {specialty}: {count} providers found")

const locations = ["Los Angeles", "Chicago", "Houston", "Miami"];
const specialties = ["depression", "trauma", "ADHD"];

for (const location of locations) {
  for (const specialty of specialties) {
    const result = await client.run(
      `Go to growtherapy.com and search for therapists in {{${location}}} ` +
      `who specialize in {{${specialty}}} and accept insurance. ` +
      `Return the first 5 provider profiles as JSON.`,
      { workspaceId: workspace.id, schema: ProviderSearch },
    );
    console.log(`${location} / ${specialty}: ${result.output.providers.length} providers`);
  }
}

---

Summary

Step	What happens	Cost
First search	Agent navigates Grow Therapy, caches the flow	~$0.10
12 cached sweeps (4 cities x 3 specialties)	Script reruns with new params	$0 LLM each
Site layout change	The saved script can be repaired and retested	~$0.10

Therapy platforms have dynamic UIs that can change frequently. A later agent run can repair and retest the saved script when the site changes.

Next steps

• Structured output — Learn more about extracting typed data with Pydantic and Zod schemas.
• Human in the loop — Let a human review or interact with the browser mid-task, useful for auth flows or approving results before continuing.
• Scripts — Save, reuse, and repair browser workflows.