You can access the Parsera programmatically from your own applications by using the Apify API. You can also choose the language preference from below. To use the Apify API, you’ll need an Apify account and your API token, found in Integrations settings in Apify Console.

Python

JavaScript

CLI

OpenAPI

HTTP

MCP

# Set API token
$API_TOKEN=<YOUR_API_TOKEN>

# Prepare Actor input
$cat > input.json << 'EOF'
<{
<  "url": "https://news.ycombinator.com/",
<  "attributes": [
<    {
<      "description": "News title",
<      "name": "title"
<    },
<    {
<      "description": "Number of points",
<      "name": "points"
<    },
<    {
<      "description": "Number of comments",
<      "name": "comments"
<    }
<  ]
<}
<EOF

# Run the Actor using an HTTP API
# See the full API reference at https://docs.apify.com/api/v2
$curl "https://api.apify.com/v2/acts/parsera-labs~parsera/runs?token=$API_TOKEN" \
<  -X POST \
<  -d @input.json \
<  -H 'Content-Type: application/json'

Parsera API

Below, you can find a list of relevant HTTP API endpoints for calling the Parsera Actor. For this, you’ll need an Apify account. Replace <YOUR_API_TOKEN> in the URLs with your Apify API token, which you can find under Integrations in Apify Console. For details, see the API reference.

Run Actor

POST

https://api.apify.com/v2/acts/parsera-labs~parsera/runs?token=<YOUR_API_TOKEN>

Note: By adding the method=POST query parameter, this API endpoint can be called using a GET request and thus used in third-party webhooks. Please refer to our Run Actor API documentation.

Run Actor synchronously and get dataset items

POST

https://api.apify.com/v2/acts/parsera-labs~parsera/run-sync-get-dataset-items?token=<YOUR_API_TOKEN>

Note: This endpoint supports both POST and GET request methods. However, only the POST method allows you to pass input data. For more information, please refer to our Run Actor synchronously and get dataset items API documentation.

Get Actor

GET

https://api.apify.com/v2/acts/parsera-labs~parsera?token=<YOUR_API_TOKEN>

For more information, please refer to our Get Actor API documentation.

Actors can be used to scrape web pages, extract data, or automate browser tasks. Use the Parsera API programmatically via the Apify API.

You can choose from:

Parsera API in Python

Parsera API in JavaScript

Parsera API through CLI

Parsera OpenAPI definition

You can start Parsera with the Apify API by sending an HTTP POST request to the Run Actorendpoint. An Actor’s input and its content type can be passed as a payload of the POST request, and additional options can be specified using URL query parameters. The Parsera is identified within the API by its ID, which is the creator’s username and the name of the Actor.

When the Parsera run finishes you can list the data from its default dataset(storage) via the API or you can preview the data directly on Apify Console.

Torrent Scraper

ondrejklinovsky/torrent-scraper

Scrape information about torrents from popular torrent sites. Download the data in JSON, CSV, and Excel.

Ondrej Klinovský

158

🔥fireSummarize AI Summarize any Website Content

mohamedgb00714/fireScraper-AI-sammarize-Website-Content

fireSummarize is an AI-powered tool that scrapes any website using Crawlee and Puppeteer, extracts and converts content into Markdown, and then summarizes it using a custom prompt — perfect for generating clean, structured insights from any webpage.

mohamed el hadi msaid

5.0

/llms.txt Generator

jakub.kopecky/llmstxt-generator

The /llms.txt Generator 🕸️📄 extracts website content to create an llms.txt file for AI apps 🤖✨ like LLM fine-tuning and indexing. Output is available 📥 in the Key-Value Store for easy download and integration into workflows. 🚀

Jakub Kopecký

523

3.1

Flow AI Agent

flow-ai/flow-ai-agent

Flow AI is a platform for building, deploying, and monetizing AI agents tailored for the Web3 ecosystem and their community. It enables users to gather insights from onchain and offchain data and run complex transactions.

Flow AI

5.0

LLMs.txt generator

antonio_espresso/llms-txt-generator

Generates a clean and structured markdown format for your AI Agents LLMs.txt file. Helps define AI agent interactions, improve SEO, and ensure compatibility across platforms. Ready to integrate into your website for better transparency and control.

Antonio Blago

Google Calendar Create Event (Tool)

sambehnke/google-calendar-create-event

Create Google Calendar events using your own API credentials. Perfect for AI agents via MCP integration. Schedule meetings, appointments & events automatically. Secure, fast, and works with Claude & custom AI tools. Integrate with your agent using: "Actors MCP server"- Apify.