# Eventbrite Events Search Scraper (`stealth_mode/eventbrite-events-search-scraper`) Actor

Scrape Eventbrite event listings from search results pages in bulk. This scraper extracts event names, dates, organizers, ticket info, venues, and 36+ fields per event — perfect for event marketers, researchers, and platform builders.

- **URL**: https://apify.com/stealth\_mode/eventbrite-events-search-scraper.md
- **Developed by:** [Stealth mode](https://apify.com/stealth_mode) (community)
- **Categories:** Automation, Developer tools, News
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $2.00 / 1,000 results

This Actor is paid per event. You are not charged for the Apify platform usage, but only a fixed price for specific events.
Since this Actor supports Apify Store discounts, the price gets lower the higher subscription plan you have.

Learn more: https://docs.apify.com/platform/actors/running/actors-in-store#pay-per-event

## What's an Apify Actor?

Actors are a software tools running on the Apify platform, for all kinds of web data extraction and automation use cases.
In Batch mode, an Actor accepts a well-defined JSON input, performs an action which can take anything from a few seconds to a few hours,
and optionally produces a well-defined JSON output, datasets with results, or files in key-value store.
In Standby mode, an Actor provides a web server which can be used as a website, API, or an MCP server.
Actors are written with capital "A".

## How to integrate an Actor?

If asked about integration, you help developers integrate Actors into their projects.
You adapt to their stack and deliver integrations that are safe, well-documented, and production-ready.
The best way to integrate Actors is as follows.

In JavaScript/TypeScript projects, use official [JavaScript/TypeScript client](https://docs.apify.com/api/client/js.md):

```bash
npm install apify-client
```

In Python projects, use official [Python client library](https://docs.apify.com/api/client/python.md):

```bash
pip install apify-client
```

In shell scripts, use [Apify CLI](https://docs.apify.com/cli/docs.md):

````bash
# MacOS / Linux
curl -fsSL https://apify.com/install-cli.sh | bash
# Windows
irm https://apify.com/install-cli.ps1 | iex
```bash

In AI frameworks, you might use the [Apify MCP server](https://docs.apify.com/platform/integrations/mcp.md).

If your project is in a different language, use the [REST API](https://docs.apify.com/api/v2.md).

For usage examples, see the [API](#api) section below.

For more details, see Apify documentation as [Markdown index](https://docs.apify.com/llms.txt) and [Markdown full-text](https://docs.apify.com/llms-full.txt).


# README

## Eventbrite Events Search Scraper: Collect Event Data at Scale

---

### What Is Eventbrite?

Eventbrite is the world's largest event management and ticketing platform, hosting millions of events annually across categories like music, fashion, conferences, and more. Whether you're researching market trends, benchmarking competitor events, or building an event aggregator, manually collecting data from Eventbrite search results is tedious and error-prone. The **Eventbrite Events Search Scraper** automates this process, delivering structured event data from any search query or category page.

---

### Overview

The **Eventbrite Events Search Scraper** extracts comprehensive event details from Eventbrite's search results pages, converting listings into clean, queryable records. It's designed for:

- **Event marketers** analyzing competitor campaigns and market segments
- **Researchers** studying event industry trends and audience behavior
- **Platform developers** building event aggregators or discovery tools
- **Business analysts** collecting event data for market intelligence

The scraper handles pagination, tolerates network failures gracefully, and delivers up to 200+ events per search URL with detailed metadata including sales status, ticket availability, venue information, and organizer details.

---

### Input Format

The scraper accepts a JSON configuration object specifying the search URLs and collection parameters:

```json
{
  "urls": [
    "https://www.eventbrite.com/d/ny--new-york/fashion--events/%23designers/?page=2"
  ],
  "ignore_url_failures": true,
  "max_items_per_url": 200
}
````

| Field | Type | Description |
|---|---|---|
| `urls` | array | Direct links to Eventbrite event search results pages. Can include category filters, location parameters, and pagination. |
| `ignore_url_failures` | boolean | If `true`, skips URLs that fail to load instead of stopping the entire run. Recommended for bulk operations. |
| `max_items_per_url` | integer | Maximum number of events to extract per URL (e.g., `200`). Adjust based on your needs and Eventbrite page size. |

> **Example URLs:**
>
> - `https://www.eventbrite.com/d/ny--new-york/fashion--events/` — Fashion events in New York
> - `https://www.eventbrite.com/d/all/online/` — All online events
> - `https://www.eventbrite.com/d/united-states/tech--events/?page=3` — Tech events, page 3

***

### Output Format

**Sample output**

```json
{
  "saves": {
    "saved_by_you": false
  },
  "event_sales_status": {
    "start_sales_date": {
      "timezone": "America/New_York",
      "local": "2025-11-01T06:00:00",
      "utc": "2025-11-01T10:00:00Z"
    },
    "end_sales_date": {
      "timezone": "America/New_York",
      "local": "2026-09-11T18:00:00",
      "utc": "2026-09-11T22:00:00Z"
    },
    "default_message": null,
    "sales_status": "on_sale",
    "currency": "USD",
    "message_code": null,
    "message": null,
    "message_type": null
  },
  "timezone": "America/New_York",
  "id": "1977195156939",
  "privacy_setting": "unlocked",
  "tickets_by": "Eventbrite",
  "primary_organizer_id": "108606544081",
  "tickets_url": "https://www.eventbrite.com/checkout-external?eid=1977195156939",
  "hide_end_date": false,
  "start_date": "2026-09-11",
  "end_time": "19:30",
  "status": "live",
  "public_collections": {
    "creator_collections": {
      "object_count": 1,
      "collections": [
        {
          "status": "live",
          "_type": "event_group",
          "name": "The Stylist Collective Fashion Week Tour",
          "relative_url": "/cc/the-stylist-collective-fashion-week-tour-4799054",
          "is_autocreated": false,
          "absolute_url": "https://www.eventbrite.com/cc/the-stylist-collective-fashion-week-tour-4799054",
          "summary": "The Stylist Collective is an international runway showcase curated by Adonis Musa, spotlighting independent designers, influencer models, and creative culture across the world’s most iconic fashion destinations.",
          "organization_id": "2014167453023",
          "image_id": "1172488129",
          "id": "4799054",
          "organizer_id": "108606544081",
          "event_ids": [
            "1977194938285",
            "1977195156939",
            "1977195525040",
            "1977195539082",
            "1977195547106",
            "1977195552121",
            "1977195563154",
            "1977195568169",
            "1977195590235",
            "1977202098702",
            "1977202457776",
            "1977202462791",
            "1977202468809",
            "1977202725577",
            "1977202742628",
            "1977202755667"
          ],
          "type": "collection",
          "slug": "the-stylist-collective-fashion-week-tour",
          "is_private": false
        }
      ]
    }
  },
  "ticket_availability": {
    "maximum_ticket_price": {
      "currency": "USD",
      "major_value": "81.88",
      "value": 8188,
      "display": "81.88 USD"
    },
    "minimum_ticket_price": {
      "currency": "USD",
      "major_value": "55.20",
      "value": 5520,
      "display": "55.20 USD"
    },
    "is_free": false,
    "has_bogo_tickets": false,
    "has_available_tickets": true,
    "is_sold_out": false
  },
  "end_date": "2026-09-11",
  "tags": [
    {
      "prefix": "EventbriteSubCategory",
      "tag": "EventbriteSubCategory/6001",
      "display_name": "Fashion"
    },
    {
      "prefix": "EventbriteCategory",
      "tag": "EventbriteCategory/106",
      "display_name": "Fashion & Beauty",
      "localized": {
        "display_name": "Fashion & Beauty"
      }
    },
    {
      "_type": "tag",
      "tag": "OrganizerTag/newyorkevents",
      "display_name": "newyorkevents",
      "prefix": "OrganizerTag"
    },
    {
      "_type": "tag",
      "tag": "OrganizerTag/newyorkfashionweek",
      "display_name": "newyorkfashionweek",
      "prefix": "OrganizerTag"
    },
    {
      "_type": "tag",
      "tag": "OrganizerTag/new_york",
      "display_name": "new_york",
      "prefix": "OrganizerTag"
    },
    {
      "_type": "tag",
      "tag": "OrganizerTag/fashion_event",
      "display_name": "fashion_event",
      "prefix": "OrganizerTag"
    },
    {
      "_type": "tag",
      "tag": "OrganizerTag/nyfw_runway",
      "display_name": "nyfw_runway",
      "prefix": "OrganizerTag"
    },
    {
      "_type": "tag",
      "tag": "OrganizerTag/stylist_collective",
      "display_name": "stylist_collective",
      "prefix": "OrganizerTag"
    },
    {
      "_type": "tag",
      "tag": "OrganizerTag/adonis_musa",
      "display_name": "adonis_musa",
      "prefix": "OrganizerTag"
    },
    {
      "_type": "tag",
      "tag": "OrganizerTag/newyorkfashionweekss27",
      "display_name": "newyorkfashionweekss27",
      "prefix": "OrganizerTag"
    },
    {
      "_type": "tag",
      "tag": "OrganizerTag/ss27",
      "display_name": "ss27",
      "prefix": "OrganizerTag"
    }
  ],
  "eventbrite_event_id": "1977195156939",
  "start_time": "18:00",
  "primary_venue": {
    "_type": "destination_venue",
    "name": "Chelsea",
    "venue_profile_id": null,
    "address": {
      "city": "New York",
      "country": "US",
      "region": "NY",
      "longitude": "-74.00137370000002",
      "localized_address_display": "Chelsea #315, New York, NY 10001",
      "postal_code": "10001",
      "address_1": "Chelsea",
      "address_2": "#315",
      "latitude": "40.7465004",
      "localized_multi_line_address_display": [
        "Chelsea",
        "#315",
        "New York, NY 10001"
      ],
      "localized_area_display": "New York, NY"
    },
    "venue_profile_url": "",
    "id": "295533223"
  },
  "primary_organizer": {
    "_type": "destination_profile",
    "num_upcoming_events": null,
    "name": "The Musa Showroom",
    "profile_type": "organizer",
    "num_followers": 810,
    "url": "https://www.eventbrite.com/o/the-musa-showroom-108606544081",
    "twitter": null,
    "summary": "Musa Showroom – Where Fashion Meets OpportunityMusa Showroom is an international fashion showroom and creative hub dedicated to elevating emerging and established brands through strategic visibility, ...",
    "num_saves": null,
    "image_id": "982681813",
    "followed_by_you": false,
    "facebook": null,
    "num_collections": null,
    "image": {
      "edge_color_set": true,
      "edge_color": "#ffffff",
      "url": "https://img.evbuc.com/https%3A%2F%2Fcdn.evbuc.com%2Fimages%2F982681813%2F2014167231483%2F1%2Foriginal.20250313-085329?w=512&auto=format%2Ccompress&q=75&sharp=10&rect=0%2C0%2C1080%2C1080&s=302737bd4add02b38c2a066d162f530f",
      "id": "982681813",
      "image_sizes": {
        "small": "https://img.evbuc.com/https%3A%2F%2Fcdn.evbuc.com%2Fimages%2F982681813%2F2014167231483%2F1%2Foriginal.20250313-085329?w=320&auto=format%2Ccompress&q=75&sharp=10&rect=0%2C0%2C1080%2C1080&s=6e3b2f01850fb2f202a0a306c24cad27",
        "large": "https://img.evbuc.com/https%3A%2F%2Fcdn.evbuc.com%2Fimages%2F982681813%2F2014167231483%2F1%2Foriginal.20250313-085329?w=1024&auto=format%2Ccompress&q=75&sharp=10&rect=0%2C0%2C1080%2C1080&s=d63b36825f311221dc255b6801646893",
        "medium": "https://img.evbuc.com/https%3A%2F%2Fcdn.evbuc.com%2Fimages%2F982681813%2F2014167231483%2F1%2Foriginal.20250313-085329?w=640&auto=format%2Ccompress&q=75&sharp=10&rect=0%2C0%2C1080%2C1080&s=a8b784a62306a115ec7d9f2033eb2286"
      },
      "crop_mask": {
        "width": 1080,
        "height": 1080,
        "top_left": {
          "y": 0,
          "x": 0
        }
      },
      "aspect_ratio": "1",
      "focal_point": null,
      "original": {
        "url": "https://img.evbuc.com/https%3A%2F%2Fcdn.evbuc.com%2Fimages%2F982681813%2F2014167231483%2F1%2Foriginal.20250313-085329?auto=format%2Ccompress&q=75&sharp=10&s=387cb32af0dc50653042b72d063b2fc2",
        "width": 1080,
        "height": 1080
      }
    },
    "id": "108606544081",
    "website_url": "https://www.themusashowroom.com",
    "num_following": null
  },
  "series_id": null,
  "image_id": null,
  "is_protected_event": false,
  "is_cancelled": null,
  "primary_venue_id": "295533223",
  "checkout_flow": "widget",
  "name": "The Stylist Collective New York Fashion Week Runway Event - By Adonis Musa",
  "language": "en-us",
  "url": "https://www.eventbrite.com/e/the-stylist-collective-new-york-fashion-week-runway-event-by-adonis-musa-tickets-1977195156939",
  "hide_start_date": false,
  "summary": "A CURATED GLOBAL RUNWAY EXPERIENCE UNITING INDEPENDENT FASHION BRANDS, TOP INFLUENCERS & ELITE STYLISTS ACROSS FASHION WEEKS.",
  "is_online_event": false,
  "eid": "exbgtfmw",
  "published": "2025-12-07T19:36:33Z",
  "from_url": "https://www.eventbrite.com/d/ny--new-york/fashion--events/%23designers/?page=3"
}
```

Each event record contains 36+ fields providing comprehensive event intelligence:

#### Event Identification

| Field | Meaning |
|---|---|
| `ID` | Internal Eventbrite database identifier |
| `EID` | Alternative event ID format |
| `Eventbrite Event ID` | Public-facing event ID used in URLs |
| `Name` | Event title as displayed on Eventbrite |
| `URL` | Direct link to the event detail page |
| `Summary` | Brief event description or tagline |
| `Status` | Event status (e.g., live, ended, draft) |

#### Timing & Scheduling

| Field | Meaning |
|---|---|
| `Start Date` | Date the event begins (YYYY-MM-DD format) |
| `Start Time` | Event start time (HH:MM format) |
| `End Date` | Date the event ends |
| `End Time` | Event end time |
| `Timezone` | Event timezone (e.g., America/New\_York) |
| `Hide Start Date` | Boolean flag hiding start date from public listing |
| `Hide End Date` | Boolean flag hiding end date from public listing |

#### Venue & Location Information

| Field | Meaning |
|---|---|
| `Primary Venue` | Main event venue name and details |
| `Primary Venue ID` | Eventbrite venue identifier |
| `Is Online Event` | Boolean indicating virtual/online event status |

#### Ticketing & Sales

| Field | Meaning |
|---|---|
| `Event Sales Status` | Current ticket sales status (open, sold out, ended) |
| `Ticket Availability` | Availability summary (e.g., limited, available, sold out) |
| `Tickets By` | Date/time tickets became available or go on sale |
| `Tickets URL` | Direct link to ticket purchase page |

#### Organization & Ownership

| Field | Meaning |
|---|---|
| `Primary Organizer` | Organizer name and profile information |
| `Primary Organizer ID` | Eventbrite organizer account ID |
| `Language` | Event primary language |

#### Event Categorization & Metadata

| Field | Meaning |
|---|---|
| `Type` | Event type category (concert, conference, festival, etc.) |
| `Tags` | Comma-separated event topic tags or keywords |
| `Public Collections` | Collections or series the event belongs to |
| `Series ID` | ID if part of a recurring series |

#### Content & Media

| Field | Meaning |
|---|---|
| `Image ID` | Identifier for the event poster/thumbnail image |

#### Event Attributes & Settings

| Field | Meaning |
|---|---|
| `Published` | Whether the event is publicly visible |
| `Is Protected Event` | Boolean for password-protected or private events |
| `Is Cancelled` | Boolean indicating if event was cancelled |
| `Privacy Setting` | Privacy level (public, private, invite-only) |
| `Checkout Flow` | Ticket purchase flow type (simple, standard) |

#### Engagement Metrics

| Field | Meaning |
|---|---|
| `Saves` | Number of times the event was saved/bookmarked by users |

***

### How to Use

1. **Navigate Eventbrite** — Visit eventbrite.com and perform a search or browse a category (e.g., "fashion events in New York").
2. **Copy the URL** — Copy the full search results URL, including any filters and pagination parameters.
3. **Paste into configuration** — Add the URL to the `urls` array in your input.
4. **Set collection limits** — Adjust `max_items_per_url` (10–200) based on your needs. Higher values may increase runtime.
5. **Enable error tolerance** — Set `ignore_url_failures: true` for batch operations to skip problematic pages.
6. **Run and export** — Execute the scraper and download results as JSON, CSV, or Excel.

**Best practices:**

- Use specific search filters (location, category, date) to reduce noise in results.
- Start with `max_items_per_url: 50` and increase if needed.
- Multiple URLs can target different categories, locations, or date ranges in a single run.
- Pagination URLs can be added individually or generated by the scraper automatically.

***

### Use Cases & Business Value

- **Competitive event analysis:** Track competitor events, pricing strategies, and audience size trends
- **Market research:** Analyze event volume and growth patterns in specific categories or regions
- **Event discovery platforms:** Populate event feeds with curated, structured data
- **Sponsorship opportunities:** Identify events matching your target audience for partnership outreach
- **Industry benchmarking:** Compare event metrics across organizers, venues, and categories

The Eventbrite Events Search Scraper transforms search results into actionable intelligence, enabling data-driven event strategy without manual spreadsheet entry.

***

### Conclusion

The **Eventbrite Events Search Scraper** delivers comprehensive event data at scale from one of the world's largest event platforms. With 36+ fields per event and flexible filtering options, it's the fastest way to build event datasets for analysis, aggregation, or research. Start collecting today and gain competitive insights from real-time event data.

# Actor input Schema

## `urls` (type: `array`):

Add the URLs of the events search urls you want to scrape. You can paste URLs one by one, or use the Bulk edit section to add a prepared list.

## `ignore_url_failures` (type: `boolean`):

If true, the scraper will continue running even if some URLs fail to be scraped.

## `max_items_per_url` (type: `integer`):

The maximum number of items to scrape per URL.

## Actor input object example

```json
{
  "urls": [
    "https://www.eventbrite.com/d/ny--new-york/fashion--events/%23designers/?page=2"
  ],
  "ignore_url_failures": true,
  "max_items_per_url": 20
}
```

# API

You can run this Actor programmatically using our API. Below are code examples in JavaScript, Python, and CLI, as well as the OpenAPI specification and MCP server setup.

## JavaScript example

```javascript
import { ApifyClient } from 'apify-client';

// Initialize the ApifyClient with your Apify API token
// Replace the '<YOUR_API_TOKEN>' with your token
const client = new ApifyClient({
    token: '<YOUR_API_TOKEN>',
});

// Prepare Actor input
const input = {
    "urls": [
        "https://www.eventbrite.com/d/ny--new-york/fashion--events/%23designers/?page=2"
    ],
    "ignore_url_failures": true,
    "max_items_per_url": 20
};

// Run the Actor and wait for it to finish
const run = await client.actor("stealth_mode/eventbrite-events-search-scraper").call(input);

// Fetch and print Actor results from the run's dataset (if any)
console.log('Results from dataset');
console.log(`💾 Check your data here: https://console.apify.com/storage/datasets/${run.defaultDatasetId}`);
const { items } = await client.dataset(run.defaultDatasetId).listItems();
items.forEach((item) => {
    console.dir(item);
});

// 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/js/docs

```

## Python example

```python
from apify_client import ApifyClient

# Initialize the ApifyClient with your Apify API token
# Replace '<YOUR_API_TOKEN>' with your token.
client = ApifyClient("<YOUR_API_TOKEN>")

# Prepare the Actor input
run_input = {
    "urls": ["https://www.eventbrite.com/d/ny--new-york/fashion--events/%23designers/?page=2"],
    "ignore_url_failures": True,
    "max_items_per_url": 20,
}

# Run the Actor and wait for it to finish
run = client.actor("stealth_mode/eventbrite-events-search-scraper").call(run_input=run_input)

# Fetch and print Actor results from the run's dataset (if there are any)
print("💾 Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"])
for item in client.dataset(run["defaultDatasetId"]).iterate_items():
    print(item)

# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start

```

## CLI example

```bash
echo '{
  "urls": [
    "https://www.eventbrite.com/d/ny--new-york/fashion--events/%23designers/?page=2"
  ],
  "ignore_url_failures": true,
  "max_items_per_url": 20
}' |
apify call stealth_mode/eventbrite-events-search-scraper --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "command": "npx",
            "args": [
                "mcp-remote",
                "https://mcp.apify.com/?tools=stealth_mode/eventbrite-events-search-scraper",
                "--header",
                "Authorization: Bearer <YOUR_API_TOKEN>"
            ]
        }
    }
}

```

## OpenAPI specification

```json
{
    "openapi": "3.0.1",
    "info": {
        "title": "Eventbrite Events Search Scraper",
        "description": "Scrape Eventbrite event listings from search results pages in bulk. This scraper extracts event names, dates, organizers, ticket info, venues, and 36+ fields per event — perfect for event marketers, researchers, and platform builders.",
        "version": "0.0",
        "x-build-id": "phMAnt6Q0bXrwpYNb"
    },
    "servers": [
        {
            "url": "https://api.apify.com/v2"
        }
    ],
    "paths": {
        "/acts/stealth_mode~eventbrite-events-search-scraper/run-sync-get-dataset-items": {
            "post": {
                "operationId": "run-sync-get-dataset-items-stealth_mode-eventbrite-events-search-scraper",
                "x-openai-isConsequential": false,
                "summary": "Executes an Actor, waits for its completion, and returns Actor's dataset items in response.",
                "tags": [
                    "Run Actor"
                ],
                "requestBody": {
                    "required": true,
                    "content": {
                        "application/json": {
                            "schema": {
                                "$ref": "#/components/schemas/inputSchema"
                            }
                        }
                    }
                },
                "parameters": [
                    {
                        "name": "token",
                        "in": "query",
                        "required": true,
                        "schema": {
                            "type": "string"
                        },
                        "description": "Enter your Apify token here"
                    }
                ],
                "responses": {
                    "200": {
                        "description": "OK"
                    }
                }
            }
        },
        "/acts/stealth_mode~eventbrite-events-search-scraper/runs": {
            "post": {
                "operationId": "runs-sync-stealth_mode-eventbrite-events-search-scraper",
                "x-openai-isConsequential": false,
                "summary": "Executes an Actor and returns information about the initiated run in response.",
                "tags": [
                    "Run Actor"
                ],
                "requestBody": {
                    "required": true,
                    "content": {
                        "application/json": {
                            "schema": {
                                "$ref": "#/components/schemas/inputSchema"
                            }
                        }
                    }
                },
                "parameters": [
                    {
                        "name": "token",
                        "in": "query",
                        "required": true,
                        "schema": {
                            "type": "string"
                        },
                        "description": "Enter your Apify token here"
                    }
                ],
                "responses": {
                    "200": {
                        "description": "OK",
                        "content": {
                            "application/json": {
                                "schema": {
                                    "$ref": "#/components/schemas/runsResponseSchema"
                                }
                            }
                        }
                    }
                }
            }
        },
        "/acts/stealth_mode~eventbrite-events-search-scraper/run-sync": {
            "post": {
                "operationId": "run-sync-stealth_mode-eventbrite-events-search-scraper",
                "x-openai-isConsequential": false,
                "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.",
                "tags": [
                    "Run Actor"
                ],
                "requestBody": {
                    "required": true,
                    "content": {
                        "application/json": {
                            "schema": {
                                "$ref": "#/components/schemas/inputSchema"
                            }
                        }
                    }
                },
                "parameters": [
                    {
                        "name": "token",
                        "in": "query",
                        "required": true,
                        "schema": {
                            "type": "string"
                        },
                        "description": "Enter your Apify token here"
                    }
                ],
                "responses": {
                    "200": {
                        "description": "OK"
                    }
                }
            }
        }
    },
    "components": {
        "schemas": {
            "inputSchema": {
                "type": "object",
                "properties": {
                    "urls": {
                        "title": "URLs of the events search urls to scrape",
                        "type": "array",
                        "description": "Add the URLs of the events search urls you want to scrape. You can paste URLs one by one, or use the Bulk edit section to add a prepared list.",
                        "items": {
                            "type": "string"
                        }
                    },
                    "ignore_url_failures": {
                        "title": "Continue running even if some URLs fail to be scraped",
                        "type": "boolean",
                        "description": "If true, the scraper will continue running even if some URLs fail to be scraped."
                    },
                    "max_items_per_url": {
                        "title": "Max items per URL",
                        "type": "integer",
                        "description": "The maximum number of items to scrape per URL."
                    }
                }
            },
            "runsResponseSchema": {
                "type": "object",
                "properties": {
                    "data": {
                        "type": "object",
                        "properties": {
                            "id": {
                                "type": "string"
                            },
                            "actId": {
                                "type": "string"
                            },
                            "userId": {
                                "type": "string"
                            },
                            "startedAt": {
                                "type": "string",
                                "format": "date-time",
                                "example": "2025-01-08T00:00:00.000Z"
                            },
                            "finishedAt": {
                                "type": "string",
                                "format": "date-time",
                                "example": "2025-01-08T00:00:00.000Z"
                            },
                            "status": {
                                "type": "string",
                                "example": "READY"
                            },
                            "meta": {
                                "type": "object",
                                "properties": {
                                    "origin": {
                                        "type": "string",
                                        "example": "API"
                                    },
                                    "userAgent": {
                                        "type": "string"
                                    }
                                }
                            },
                            "stats": {
                                "type": "object",
                                "properties": {
                                    "inputBodyLen": {
                                        "type": "integer",
                                        "example": 2000
                                    },
                                    "rebootCount": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "restartCount": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "resurrectCount": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "computeUnits": {
                                        "type": "integer",
                                        "example": 0
                                    }
                                }
                            },
                            "options": {
                                "type": "object",
                                "properties": {
                                    "build": {
                                        "type": "string",
                                        "example": "latest"
                                    },
                                    "timeoutSecs": {
                                        "type": "integer",
                                        "example": 300
                                    },
                                    "memoryMbytes": {
                                        "type": "integer",
                                        "example": 1024
                                    },
                                    "diskMbytes": {
                                        "type": "integer",
                                        "example": 2048
                                    }
                                }
                            },
                            "buildId": {
                                "type": "string"
                            },
                            "defaultKeyValueStoreId": {
                                "type": "string"
                            },
                            "defaultDatasetId": {
                                "type": "string"
                            },
                            "defaultRequestQueueId": {
                                "type": "string"
                            },
                            "buildNumber": {
                                "type": "string",
                                "example": "1.0.0"
                            },
                            "containerUrl": {
                                "type": "string"
                            },
                            "usage": {
                                "type": "object",
                                "properties": {
                                    "ACTOR_COMPUTE_UNITS": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "DATASET_READS": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "DATASET_WRITES": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "KEY_VALUE_STORE_READS": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "KEY_VALUE_STORE_WRITES": {
                                        "type": "integer",
                                        "example": 1
                                    },
                                    "KEY_VALUE_STORE_LISTS": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "REQUEST_QUEUE_READS": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "REQUEST_QUEUE_WRITES": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "DATA_TRANSFER_INTERNAL_GBYTES": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "DATA_TRANSFER_EXTERNAL_GBYTES": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "PROXY_RESIDENTIAL_TRANSFER_GBYTES": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "PROXY_SERPS": {
                                        "type": "integer",
                                        "example": 0
                                    }
                                }
                            },
                            "usageTotalUsd": {
                                "type": "number",
                                "example": 0.00005
                            },
                            "usageUsd": {
                                "type": "object",
                                "properties": {
                                    "ACTOR_COMPUTE_UNITS": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "DATASET_READS": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "DATASET_WRITES": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "KEY_VALUE_STORE_READS": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "KEY_VALUE_STORE_WRITES": {
                                        "type": "number",
                                        "example": 0.00005
                                    },
                                    "KEY_VALUE_STORE_LISTS": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "REQUEST_QUEUE_READS": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "REQUEST_QUEUE_WRITES": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "DATA_TRANSFER_INTERNAL_GBYTES": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "DATA_TRANSFER_EXTERNAL_GBYTES": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "PROXY_RESIDENTIAL_TRANSFER_GBYTES": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "PROXY_SERPS": {
                                        "type": "integer",
                                        "example": 0
                                    }
                                }
                            }
                        }
                    }
                }
            }
        }
    }
}
```
