What do you want to automate
with Docparser and Python?
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Popular Docparser and Python Triggers#
Emit new event every time a document is processed and parsed data is available. See the documentation
Popular Docparser and Python Actions#
Fetches a document from a provided URL and imports it to Docparser for parsing. See the documentation
Write Python and use any of the 350k+ PyPi packages available. Refer to the Pipedream Python docs to learn more.
Uploads a document to docparser that initiates parsing immediately after reception. See the documentation
Overview of Docparser#
Docparser is a tool for extracting data from documents, such as PDFs, Word, and images. With the Docparser API, you can automate the process of capturing data without manual entry, transforming documents into actionable information. It shines in scenarios where structured information needs to be pulled from files that typically require manual data entry, such as invoices, forms, and reports.
Connect Docparser#
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
docparser: {
type: "app",
app: "docparser",
}
},
async run({steps, $}) {
return await axios($, {
url: `https://api.docparser.com/v1/ping`,
auth: {
username: `${this.docparser.$auth.api_key}`,
password: ``,
},
})
},
})
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}}Trusted by 1,000,000+ developers from startups to Fortune 500 companies