TextRazor
The Natural Language Processing API
Integrate the TextRazor API with the Python API
Setup the TextRazor API trigger to run a workflow which integrates with the Python API. Pipedream's integration platform allows you to integrate TextRazor and Python remarkably fast. Free for developers.
Popular TextRazor and Python Actions#
Write Python and use any of the 350k+ PyPi packages available. Refer to the Pipedream Python docs to learn more.
Overview of TextRazor#
The TextRazor API offers advanced natural language processing capabilities that let you analyze text, extracting entities, concepts, and categorizing content with ease. Utilizing machine learning and AI, TextRazor can break down your content into actionable data, identifying the sentiment, relationship, and structure of the text provided. It's a gold mine for developers looking to automate content analysis, enrich search capabilities, or implement AI-driven content recommendations.
Connect TextRazor#
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
textrazor: {
type: "app",
app: "textrazor",
}
},
async run({steps, $}) {
return await axios($, {
url: `https://api.textrazor.com/account/`,
headers: {
"X-TextRazor-Key": `${this.textrazor.$auth.api_key}`,
},
})
},
})
Overview of Python#
Develop, run and deploy your Python code in Pipedream workflows. Integrate seamlessly between no-code steps, with connected accounts, or integrate Data Stores and manipulate files within a workflow.
This includes installing PyPI packages, within your code without having to manage a requirements.txt file or running pip.
Below is an example of using Python to access data from the trigger of the workflow, and sharing it with subsequent workflow steps:
Connect Python#
def handler(pd: "pipedream"):
# Reference data from previous steps
print(pd.steps["trigger"]["context"]["id"])
# Return data for use in future steps
return {"foo": {"test":True}}