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

# Set API token
$API_TOKEN=<YOUR_API_TOKEN>

# Prepare Actor input
$cat > input.json << 'EOF'
<{
<  "batch": [
<    {
<      "actorId": "useful-tools/wait-and-finish",
<      "input": {
<        "minWaitTime": 30,
<        "dataset": {
<          "items": [
<            {
<              "key": "value1"
<            }
<          ]
<        }
<      }
<    },
<    {
<      "actorId": "useful-tools/wait-and-finish",
<      "input": {
<        "dataset": {
<          "items": [
<            {
<              "key": "value1"
<            },
<            {
<              "key": "value2"
<            }
<          ]
<        }
<      }
<    }
<  ],
<  "maxConcurrency": 25,
<  "maxMemoryMb": 32768
<}
<EOF

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

Batch Runner API

Below, you can find a list of relevant HTTP API endpoints for calling the Batch Runner 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/useful-tools~batch-runner/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/useful-tools~batch-runner/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/useful-tools~batch-runner?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 Batch Runner API programmatically via the Apify API.

You can choose from:

Batch Runner API in Python

Batch Runner API in JavaScript

Batch Runner API through CLI

Batch Runner OpenAPI definition

You can start Batch Runner 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 Batch Runner is identified within the API by its ID, which is the creator’s username and the name of the Actor.

When the Batch Runner 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.

Linkedin Company Posts Batch Scraper | No Cookies

apimaestro/linkedin-company-posts-batch-scraper-no-cookies

Extract public posts data in batch from companies including post content, reactions, comments count, and media attachments

API Maestro

365

5.0

Append to dataset

valek.josef/append-to-dataset

Utility actor that allows you to build a single large dataset from individual default datasets of other actor runs.

Josef Válek

Linkedin Jobs and Company details Pro

getdataforme/linkedin-jobs-and-company-details-pro

Linkedin Jobs Scraper Pro has the feature to scrape not just the jobs but the company posting the jobs and some details of it like the number of employees it has. The scraper has the filter to filter based on Country, job title and the time range from which you want to pull the jobs.

GetDataForMe

Google Dataset Items Translator

web.harvester/google-dataset-items-translator

Translate any dataset field(s) to any of the supported languages using the Google Translate website, it goes through all the items in the dataset and translates all of the selected fields

Web Harvester

Failed Runs Monitor

jannovotny/failed-runs-monitor

This actor will let you know about failed or time outed runs of your actors and tasks via Slack or email. It can also notice you about successful runs with empty dataset, check JSON schema of dataset items, or about runs that are running for too long.