with Search API and Google Gemini?
Google Images API uses /api/v1/search?engine=google_images API endpoint to scrape real-time results. See the documentation
Generates content from text input using the Google Gemini API. See the documentation
Google Search API uses /api/v1/search?engine=google API endpoint to scrape real-time results. See the documentation
Generates content from both text and image input using the Gemini API. See the documentation
Google Trends API uses /api/v1/search?engine=google_trends API endpoint to scrape real-time results. See the documentation
The Search API API allows you to create and manage a search engine for your website or application, providing robust search capabilities like full-text search, faceting, filtering, and autocomplete. Integrating this API into Pipedream workflows unleashes the potential for automating content indexing, performing complex searches based on triggers, and synchronizing search results with other apps for analytics, monitoring, or further processing.
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
search_api: {
type: "app",
app: "search_api",
}
},
async run({steps, $}) {
return await axios($, {
url: `https://www.searchapi.io/api/v1/search`,
params: {
"q": `{{your_query}}`, //string to use as search query
engine: `{{your_engine}}`, //ex. "google"
api_key: `${this.search_api.$auth.api_key}`,
},
})
},
})
The Google Gemini API is a cutting-edge tool from Google that enables developers to leverage AI models like Imagen and MusicLM to create and manipulate images and music based on textual descriptions. With Pipedream, you can harness this API to automate workflows that integrate AI-generated content into a variety of applications, from generating visuals for social media posts to composing background music for videos. Pipedream's serverless platform allows you to connect Google Gemini API with other apps to create complex, event-driven workflows without managing infrastructure.
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
google_gemini: {
type: "app",
app: "google_gemini",
}
},
async run({steps, $}) {
const data = `{{your_promptt}}`;
//E.g. {"contents":[{"parts":[{"text":"Write a story about a magic backpack"}]}]}
return await axios($, {
method: "POST",
url: `https://generativelanguage.googleapis.com/v1beta/models/gemini-pro:generateContent`,
headers: {
"Content-Type": "application/json",
},
params: {
key: `${this.google_gemini.$auth.api_key}`,
},
data
})
},
})