Google Search

Perform web searches using the Google Custom Search JSON API.

AI and MLAPI key1 actionAll integrations

On this page

Connect
Call it from a workflow
Actions (1)
search
Details

Connect

Auth type: API key (secret_text). Paste the API key (or token) from the provider's settings into the connect dialog. It is encrypted at rest and only decrypted on the server when an action runs.

In the editor: Backend panel, Integrations tab, then Connect. This connects it for the project.
For every project in a workspace: Workspace settings, Integrations.
Owners and admins choose which integrations members may connect in the admin panel (Integrations tab), and can attach their own OAuth app there.

Call it from a workflow

Pass the action name and its input. The call resolves with { success, output, error? }; a missing connection resolves with success false and the reason. See ctx.integrations.invoke and ctx.integrations.call.

Native workflow

// .workflow.js (native ctx)
export async function run(ctx) {
  const res = await ctx.integrations.invoke("google_search", "search", {
    "query": "<search query>"
  });
  if (!res.success) throw new Error(res.error);
  ctx.log.info("Google Search answered", { output: res.output });
}

defineWorkflow module

// defineWorkflow module (@app/sdk ctx)
import { defineWorkflow } from "@app/sdk";

export default defineWorkflow({
  id: "google-search-search",
  name: "Google Search: Search",
  description: "Calls Google Search when a row is created.",
  trigger: { type: "entity_event", entity: "tickets", event: "created" },
  async run(ctx, event) {
    const res = await ctx.integrations.call("google_search", {
      "action": "search",
      "query": "<search query>"
    }) as { success: boolean; error?: string };
    if (!res.success) throw new Error(res.error);
  },
});

From an app (connector proxy)

curl -X POST "$APP_ORIGIN/__appbricx/connector-proxy/google_search/search" \
  -H "Authorization: Bearer $APP_KEY" \
  -H "content-type: application/json" \
  -d '{"props":{"query":"<search query>"}}'

Actions

searchin catalog

Search. Search for content using Vertex AI Search (searchLite).

Input	Type	Description
`query`required	text	The query text to search.
`userPseudoId`optional	text	A pseudonymized identifier for the user (max 128 chars). Improves personalization.

Details

Id: google_search
Category: AI and ML
Tags: search, web, google, serp
Package: @activepieces/piece-google-search@0.0.5
Tier: Community