Sentiment and Subject / Topic Analysis
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Sentiment and Subject / Topic Analysis
No credit card required
Artificial Intelligence divides the text into sentences and analyzes the topic, subtopic and sentiment for each sentence.
Python empty template
Start a new web scraping project quickly and easily in Python with our empty project template. It provides a basic structure for the Actor with Apify SDK and allows you to easily add your own functionality.
Included features
- Apify SDK for Python - a toolkit for building Apify Actors and scrapers in Python
- Input schema - define and easily validate a schema for your Actor's input
- Request queue - queues into which you can put the URLs you want to scrape
- Dataset - store structured data where each object stored has the same attributes
How it works
Insert your own code to async with Actor: block. You can use the Apify SDK with any other Python library.
Resources
- Python tutorials in Academy
- Video guide on getting data using Apify API
- Integration with Make, GitHub, Zapier, Google Drive, and other apps
- A short guide on how to build web scrapers using code templates:
Getting started
For complete information see this article. In short, you will:
- Build the Actor
- Run the Actor
Pull the Actor for local development
If you would like to develop locally, you can pull the existing Actor from Apify console using Apify CLI:
-
Install
apify-cliUsing Homebrew
brew install apify-cliUsing NPM
npm -g install apify-cli -
Pull the Actor by its unique
<ActorId>, which is one of the following:- unique name of the Actor to pull (e.g. "apify/hello-world")
- or ID of the Actor to pull (e.g. "E2jjCZBezvAZnX8Rb")
You can find both by clicking on the Actor title at the top of the page, which will open a modal containing both Actor unique name and Actor ID.
This command will copy the Actor into the current directory on your local machine.
apify pull <ActorId>
Documentation reference
To learn more about Apify and Actors, take a look at the following resources:
Ai FounderActor Metrics
2 monthly users
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1 bookmark
90% runs succeeded
Created in Oct 2024
Modified 2 days ago
