with Search API and fal.ai?
Google Images API uses /api/v1/search?engine=google_images API endpoint to scrape real-time results. See the documentation
Adds a request to the queue for asynchronous processing, including specifying a webhook URL for receiving updates. See the documentation
Google Search API uses /api/v1/search?engine=google API endpoint to scrape real-time results. See the documentation
Cancels a request in the queue. This allows you to stop a long-running task if it's no longer needed. 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}`,
},
})
},
})
import { fal } from "@fal-ai/client"
export default defineComponent({
props: {
fal_ai: {
type: "app",
app: "fal_ai",
}
},
async run({ steps, $ }) {
fal.config({
credentials: `${this.fal_ai.$auth.api_key}`,
});
const result = await fal.subscribe("fal-ai/lora", {
input: {
model_name: "stabilityai/stable-diffusion-xl-base-1.0",
prompt:
"Photo of a rhino dressed suit and tie sitting at a table in a bar with a bar stools, award winning photography, Elke vogelsang",
},
logs: true,
});
return result;
},
})