You can access the Batch Runner 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

1from apify_client import ApifyClient
2
3# Initialize the ApifyClient with your Apify API token
4# Replace '<YOUR_API_TOKEN>' with your token.
5client = ApifyClient("<YOUR_API_TOKEN>")
6
7# Prepare the Actor input
8run_input = {
9    "batch": [
10        {
11            "actorId": "useful-tools/wait-and-finish",
12            "input": {
13                "minWaitTime": 30,
14                "dataset": { "items": [{ "key": "value1" }] },
15            },
16        },
17        {
18            "actorId": "useful-tools/wait-and-finish",
19            "input": { "dataset": { "items": [
20                        { "key": "value1" },
21                        { "key": "value2" },
22                    ] } },
23        },
24    ],
25    "maxConcurrency": 25,
26    "maxMemoryMb": 32768,
27}
28
29# Run the Actor and wait for it to finish
30run = client.actor("useful-tools/batch-runner").call(run_input=run_input)
31
32# Fetch and print Actor results from the run's dataset (if there are any)
33print("💾 Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"])
34for item in client.dataset(run["defaultDatasetId"]).iterate_items():
35    print(item)
36
37# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start

Batch Runner API in Python

The Apify API client for Python is the official library that allows you to use Batch Runner API in Python, providing convenience functions and automatic retries on errors.

Install the apify-client

$pip install apify-client

Other API clients include:

Batch Runner API in JavaScript

Batch Runner API through CLI

Batch Runner OpenAPI definition

Batch Runner API

Monitoring Runner

apify/monitoring-runner

The monitoring runner is a part of the Apify Monitoring Suite (apify/monitoring). See its readme for more information and how to use this.

Apify

122

4.5

🔥 Power Data Transformer

wiseek/power-data-transformer

🔥 Unlock your scraped data—clean, merge, split, deduplicate, filter, standardize, validate, enrich and sync—using built-in transformations and powerful SQL pipelines for ETL/ELT workflows. Seamlessly integrate processed datasets with automation platforms like n8n, Make.com, and Zapier.

wiseek

Facebook Advert Scraper

lucascode/facebook-advert-scraper

Provide one or more URLs of Facebook Marketplace Adverts and receive the contents of the adverts.

Lucas

5.0

Facebook US Marketplace Scraper Pro

hello.datawizard-owner/Facebook-Marketplace-US-Scraper-Pro

The Facebook US Marketplace Scraper Pro lets you extract real-time product listings from Facebook Marketplace . Get titles, prices, locations, images, and URLs easily. Perfect for resellers, analysts, and businesses seeking market insights and competitor monitoring.

datawizards

GCP Uploader

circ_le/gcp-uploader

Upload datasets and KV store records to Google cloud storage

Cir◎cle

Facebook Marketplace Bulk Scraper Pro

hello.datawizard-owner/Facebook-Bulk-Scraper-Pro

Facebook Bulk Scraper Pro Test helps you extract Facebook Marketplace listings based on location and keywords. Get product titles, prices, images, and location data in bulk. Perfect for resale tracking, lead generation, or pricing analysis. Proxy use is required for smooth operation.

datawizards

Google News Scraper

data_xplorer/google-news-scraper

🚀 Google News data at your fingertips: Our powerful scraper delivers real-time news monitoring across 70+ region/language combinations. Built as a developer-friendly API alternative, it transforms raw news feeds into structured, actionable data.