Making web data extraction easy and accessible for everyone.
Emit new event when a page scraping job has completed. See the docs here
Creates a scraping job (scrapes a sitemap). See the docs here
Determine the sentiment of the given text (positive, negative, or neutral). See the documentation.
Creates a sitemap for the selected website. See the docs here
Identify and extract significant keywords from the given text. See the documentation.
Retrieves a list of scraping jobs for a sitemap. See the docs here
The WebScraper.IO API allows you to programmatically perform web scraping tasks, extracting structured data from websites. With the API, you can automate the gathering of web content for analysis, monitoring, and integration with other data sources. In Pipedream, you can leverage this API to build workflows that process, analyze, and act on the data you scrape without writing code for backend infrastructure.
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
webscraper_io: {
type: "app",
app: "webscraper_io",
}
},
async run({steps, $}) {
return await axios($, {
url: `https://api.webscraper.io/api/v1/sitemaps`,
params: {
api_token: `${this.webscraper_io.$auth.api_key}`,
},
})
},
})
The Metatext.AI Pre-built AI Models API offers various artificial intelligence capabilities such as natural language processing, image recognition, and sentiment analysis. This API enables users to add AI features to their applications without the need for extensive machine learning expertise. Utilizing this API in Pipedream workflows allows for automation and integration with other services, making it possible to process and analyze text and images within a serverless environment efficiently.
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
metatext_ai_pre_build_ai_models_api: {
type: "app",
app: "metatext_ai_pre_build_ai_models_api",
}
},
async run({steps, $}) {
const data = {
"text": `{your_text}`,
}
return await axios($, {
method: "post",
url: `https://api.metatext.ai/hub-inference/sentiment-analysis`,
headers: {
"Content-Type": `application/json`,
"x-api-key": `${this.metatext_ai_pre_build_ai_models_api.$auth.api_key}`,
},
data,
})
},
})