# Meetup Events Scraper (`fetch_cat/meetup-events-scraper`) Actor

Collect public Meetup event records from URLs or keyword searches. Export dates, venues, organizer labels and RSVP counts when available; coverage varies.

- **URL**: https://apify.com/fetch_cat/meetup-events-scraper.md
- **Developed by:** [Fetch Cat](https://apify.com/fetch_cat) (community)
- **Categories:** Lead generation, Social media, Marketing
- **Features:** Limited permissions
- **Stats:** 8 total users, 4 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $0.03 / 1,000 result extracteds

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/actors/running/actors-in-store.md#pay-per-event

## What's an Apify Actor?

An Actor is a serverless cloud program that runs on the Apify platform. It has two run modes.
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.

Apify vocabulary and the platform model are defined once, in the agent quickstart at https://apify.com/agents.md.

## 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.

Do not guess an integration path. Every one of them is in the agent quickstart at https://apify.com/agents.md: the Apify MCP server, Agent Skills with the Apify CLI, the JavaScript and Python clients, the REST API, and the account-free path for an agent with no human to sign in. It also carries the rule on stating cost before the first paid run.

For examples already wired to this Actor's own input schema, see the [API](#api) section below.

Each client library has reference documentation the quickstart does not restate: [JavaScript/TypeScript](https://docs.apify.com/api/client/js/docs.md) (`npm install apify-client`) and [Python](https://docs.apify.com/api/client/python/docs.md) (`pip install apify-client`).

# README

Collect public Meetup event records from search, group, or event URLs, or build searches with keywords and a location. Meetup Events Scraper saves titles, dates, venue details, organizer labels and RSVP counts when available, ready for CSV, Excel or JSON export.

Results depend on what Meetup exposes publicly. Searches can include recommendations outside your requested topic or location. This is not a complete event calendar or an attendee directory.

### Quick start

1. Open the input form and choose a public Meetup URL or keyword search.
2. Set a small `maxItems` limit and start the Actor.
3. Inspect event titles and cities in the dataset, then export the records you need.

```json
{
  "keywords": ["data"],
  "location": "Berlin, Germany",
  "maxItems": 5,
  "includeDetails": false,
  "proxyConfiguration": { "useApifyProxy": false }
}
```

Prefer a video guide? This short Apify walkthrough shows you how to set up and run an Actor. It uses a different Actor, but the setup steps are the same.

https://youtu.be/1OW8gOqlZbY?t=25

### Ready-to-run examples

Choose a public example to see its settings before starting a run:

- [Export Meetup group event calendars from public URLs](https://apify.com/fetch_cat/meetup-events-scraper/examples/meetup-search-url-events)
- [Find public Meetup events by keyword and city](https://apify.com/fetch_cat/meetup-events-scraper/examples/meetup-ai-events-new-york)

### What you get

One event row with its public event URL, available title, date strings, venue information and organizer labels. RSVP counts and capacity signals remain distinct. Optional enrichment can add public descriptions, while missing fields stay null and summary source counts can understate rows saved before a source fails.

### Who is it for?

- **Community researchers** reviewing available events for chosen public searches.
- **Calendar editors** selecting source-linked events after checking relevance and dates.
- **Partnership researchers** following public group and organizer references.
- **Data teams** comparing their own event datasets without claiming complete calendars.

### How you can use the data

- **Review a small Berlin data-event sample.** Use the existing data keyword, Berlin location and five-event cap with details off. Check title and city in the result before selecting events, since Meetup recommendations may fall outside requested topics or places.
- **Enrich a useful shortlist deliberately.** Enable details for the same small input when descriptions or public venue fields matter. Keep source event URLs and date strings with offsets rather than inventing a named time zone or assuming every optional field is complete.
- **Keep supplied URLs' scope separate.** Known public search, group and event URLs can be combined with keywords under one cap. Location changes generated keyword searches, not pasted URLs. A group URL does not guarantee a complete calendar.
- **Compare and continue work in your own workflow.** Join event URLs across retained datasets and inspect source statuses and pending URLs. Submit pending sources as start URLs in a new run, rather than the unused legacy resume field. A failed source count may omit rows already saved, so inspect the dataset itself.

### Input settings

Provide `startUrls`, `keywords`, or both. Location alone is not a complete input. Combined usable sources must be between 1 and 100.

| Setting | API key | Purpose |
| --- | --- | --- |
| Start URLs | `startUrls` | Public Meetup find, group or event URLs. |
| Keywords | `keywords` | Terms used to build event search URLs. |
| Location | `location` | Location text for keyword searches. Does not alter supplied URLs. |
| Maximum events | `maxItems` | Shared result ceiling, 1–10,000. Form default 10. Set it explicitly in API calls. |
| Open detail pages | `includeDetails` | Optional public enrichment, enabled by default. |
| Resume start URLs | `resumeStartUrls` | Accepted legacy field, currently unused. Submit pending URLs through `startUrls` instead. |
| Proxy configuration | `proxyConfiguration` | Optional connection settings. See field help for behavior and costs. |

#### Example inputs

Use the Quick start input as a small first run. Adjust the fields described above for your own data.

### Output data

Each saved row describes one event URL. Unavailable values are `null`. This synthetic shape-only example illustrates the field names, not an observed event:

```json
{
  "eventId": null,
  "eventUrl": "https://www.meetup.com/example-group/events/000000000/",
  "title": null,
  "description": null,
  "startDate": null,
  "endDate": null,
  "timezone": null,
  "isOnline": null,
  "venueName": null,
  "address": null,
  "city": null,
  "country": null,
  "groupName": null,
  "groupUrl": null,
  "organizerName": null,
  "imageUrl": null,
  "attendanceCount": null,
  "rsvpCount": null,
  "scrapedAt": "2026-10-25T00:00:00.000Z"
}
```

| Fields | Meaning |
| --- | --- |
| `eventId`, `eventUrl`, `title`, `description` | Event identity, public URL, name and description. Descriptions can retain markup. |
| `startDate`, `endDate`, `timezone` | Source date strings and the trailing UTC offset or `Z`, not a named timezone. |
| `isOnline` | True for online or mixed attendance. May be unknown. |
| `venueName`, `address`, `city`, `country` | Available public venue details. |
| `groupName`, `organizerName`, `groupUrl` | Public organizer labels and URL. The two names use the same source value. |
| `imageUrl` | First available public image URL. |
| `attendanceCount` | Capacity signal: maximum or remaining capacity, **not actual attendance**. |
| `rsvpCount` | Reported RSVP or attendee count when supplied. |
| `scrapedAt` | Collection timestamp in UTC. |

The run's key-value store also contains `RUN_SUMMARY` with source statuses, saved counts and pending URLs. It is a diagnostic summary, not an automatic resume checkpoint. If a source fails after saving some events, its source-level count can understate those saved rows. Inspect the dataset itself.

#### Download your results

Open your run's dataset, choose **Export** and select JSON, CSV or Excel. JSON keeps nested fields together. CSV and Excel are useful when you want to review the records in a spreadsheet.

See [Apify's download and export guide](https://docs.apify.com/storage/dataset#apify-console) for the available formats and field options.

### Pricing

The `start` event is charged once after initial input validation. The `result` event applies to each saved event row. A failed run can still have its start charge and charges for already saved events, while diagnostic summaries are not result rows.

Begin with a small explicit shared cap and details off when basic records suffice. See the [live Pricing tab](https://apify.com/fetch_cat/meetup-events-scraper/pricing) for current rates and discounts.

### Tips for best results

- **Set a small explicit cap.** It is shared across sources and is not a promised event count.
- **Review title and city before using recommendations.** Requested keywords and location do not enforce exact relevance.
- **Retain original date strings and offsets.** The timezone field is an offset or Z rather than a named zone.
- **Keep RSVP counts separate from capacity.** AttendanceCount does not measure actual attendance.
- **Inspect the dataset and source statuses together.** Counts can understate records saved before a source failure.

### Limits and caveats

Only public Meetup information is supported without login. Private groups, attendee identities, contact lists, ticket purchase and joining events are outside scope. This is an Apify collection workflow rather than official Meetup API access or a complete event calendar.

Supply public URLs, keywords or both, with one to one hundred usable combined sources. Location alone is insufficient. Location affects keyword searches rather than supplied URLs. The shared row cap is a ceiling, not a guaranteed total. Meetup can return recommendations outside requested topics or cities. There is no guaranteed topic enforcement, selectable ordering, date-range filter or exhaustive collection.

Public fields vary, descriptions can retain markup and missing values remain null. The timezone field is a trailing UTC offset or Z rather than a named zone. Organizer and group names use the same source value. AttendanceCount reflects maximum or remaining capacity, not actual attendance, while rsvpCount is the reported RSVP or attendee count when exposed.

Useful rows can remain despite isolated source failures, but a run with no collected events fails. Missing records or failed requests alone do not prove deletion or privacy. A failed run can retain paid saved rows. Duplicate event URLs are suppressed within a run, while a later run can collect them again.

RUN_SUMMARY includes source statuses and pending URLs, but is a diagnostic summary rather than automatic continuation. A source count can understate events saved before that source fails, so inspect the dataset. ResumeStartUrls is an accepted but unused legacy field. Submit pending URLs through startUrls in a new run, and maintain comparisons or alerts in your own workflow.

### Automation and integrations

#### Save your settings for next time

Once you have an input that works for you, [save it as an Apify task](https://docs.apify.com/actors/running/tasks). This keeps your settings together so you can use them again without filling in the form from scratch.

#### Run on a schedule

Need fresh results regularly? You can [schedule the Actor or a saved task](https://docs.apify.com/actors/running/schedules) to run at a time that suits you.

Each scheduled run collects the data again. If you want to compare results or highlight changes, add that step in your own workflow.

#### Send results to your other tools

Use **n8n, Make or Zapier** to connect this scraper to the rest of your workflow. For example, you could pass its results to an AI assistant or add records to a spreadsheet. Follow the [Apify integration guides](https://docs.apify.com/integrations) for your chosen tool.

For a custom connection, an [Apify webhook](https://docs.apify.com/integrations/webhooks) can notify your app when a run finishes or fails. Your app can then fetch the results or handle the failure.

### API usage

Want to collect this data from your own app or automation? The examples below send input to the scraper and show how to collect its results.

The Node.js and Python examples wait for the run to finish before reading its results. The cURL example starts the run and returns its details. Wait for that run to finish, then use its `defaultDatasetId` to fetch the results.

For setup instructions, see Apify's [JavaScript client guide](https://docs.apify.com/api/client/js), [Python client guide](https://docs.apify.com/api/client/python) and [Actor runs API reference](https://docs.apify.com/api/v2/acts-runs-post).

#### cURL

```bash
curl -X POST 'https://api.apify.com/v2/acts/fetch_cat~meetup-events-scraper/runs' \
  -H "Authorization: Bearer $APIFY_TOKEN" \
  -H 'Content-Type: application/json' \
  --data @- <<'JSON'
{
  "keywords": [
    "data"
  ],
  "location": "Berlin, Germany",
  "maxItems": 5,
  "includeDetails": false,
  "proxyConfiguration": {
    "useApifyProxy": false
  }
}
JSON
```

#### Node.js

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

const client = new ApifyClient({ token: process.env.APIFY_TOKEN });
const run = await client.actor('fetch_cat/meetup-events-scraper').call({
  "keywords": [
    "data"
  ],
  "location": "Berlin, Germany",
  "maxItems": 5,
  "includeDetails": false,
  "proxyConfiguration": {
    "useApifyProxy": false
  }
});
const { items } = await client.dataset(run.defaultDatasetId).listItems();
console.log(items);
```

#### Python

```python
import os
from apify_client import ApifyClient

client = ApifyClient(os.environ['APIFY_TOKEN'])
run = client.actor('fetch_cat/meetup-events-scraper').call(run_input={'keywords': ['data'], 'location': 'Berlin, Germany', 'maxItems': 5, 'includeDetails': False, 'proxyConfiguration': {'useApifyProxy': False}})
print(client.dataset(run['defaultDatasetId']).list_items().items)
```

### MCP and AI agents

You can ask your AI assistant to collect data with **Meetup Events Scraper** and help you work with the results. The scraper returns the data, and your assistant can then summarize it, compare records or prepare notes.

Connect your assistant through the [Apify MCP server](https://mcp.apify.com/). MCP gives your assistant a way to find this scraper, run it and read the results. Follow the [official setup and sign-in guide](https://docs.apify.com/mcp) for your app.

#### Easier setup with an Apify plugin

If you use a supported coding assistant, the [official Apify plugin](https://docs.apify.com/agents/plugins) can set up the connection for you. It connects your assistant to Apify and includes instructions for common tasks. Follow the guide for your particular app.

#### Use Apify AI in Console

Prefer to keep everything in Apify? Open [Apify AI in Console](https://docs.apify.com/account/apify-ai) and ask it to find Fetch Cat's **Meetup Events Scraper**. You can describe the data you want and ask questions about the results.

Apify AI is currently in beta. It asks for confirmation before starting an Actor, and normal run charges apply.

#### Choose your assistant

- **Claude and Claude Code (Anthropic):** [Apify setup guide](https://docs.apify.com/integrations/claude).
- **ChatGPT and Codex (OpenAI):** [Apify setup guides](https://docs.apify.com/integrations/openai).
- **Grok Bot (xAI):** [Apify plugin guide](https://docs.apify.com/integrations/grok-bot).
- **Gemini CLI (Google):** [MCP server setup guide](https://geminicli.com/docs/tools/mcp-server/). Use the server URL below with the HTTP configuration supported by Gemini CLI.

#### Connect just this scraper

To keep your setup focused on this scraper, add this server configuration to a compatible MCP client:

```json
{
  "mcpServers": {
    "apify": {
      "url": "https://mcp.apify.com?tools=fetch_cat/meetup-events-scraper"
    }
  }
}
```

Sign in to Apify when your client asks. If your client uses a Bearer token instead, follow its setup guide and keep the token in its secure configuration. Configuration formats vary by app, so use the linked guide if your client needs a different format.

#### Use Apify's general server

Already connected to the general Apify MCP server at `https://mcp.apify.com`? You can use it to find this scraper without adding another server. Ask your assistant to use **Meetup Events Scraper** by Fetch Cat, or give it the identifier `fetch_cat/meetup-events-scraper`.

Your assistant can check the available settings and retrieve the results from the returned run. If the run is still working, it should follow that run rather than start it again. Both connection options use Apify's hosted service.

#### Example requests

- “Use Fetch Cat’s Meetup Events Scraper to collect up to 5 events for data in Berlin, Germany with details off and direct access. Keep event links, titles and cities, and flag recommendations that do not appear relevant rather than guaranteeing a city-topic match.”
- “Collect up to 5 events for data in Berlin, Germany with details enabled and direct access. Retain original date strings and offsets, available descriptions and venue fields, marking missing values without guessing a time zone.”
- “Retrieve up to 5 events for data in Berlin, Germany with details off and direct access. Keep RSVP counts separate from capacity signals and inspect source statuses and pending URLs without automatically starting a continuation.”

Normal Apify charges apply. Check the [live Pricing tab](https://apify.com/fetch_cat/meetup-events-scraper/pricing) before asking your assistant to run a larger batch.

### Pay with x402

If your AI agent has a funded wallet, it can pay for Apify usage through [x402](https://docs.apify.com/integrations/x402). This experimental option lets an agent use Apify without a conventional account.

[Apify AGI](https://agi.apify.com/) provides a prepaid API token with a spending cap after payment. Your agent can use that token to run this scraper through the Apify API or an authenticated MCP connection.

Some MCP setups also support paying for each request directly. That is a different payment option, so check the official guide for its availability.

Follow the official guide for wallet setup, supported payment options and current terms. Apify handles the payments. Keep wallet keys and payment tokens in your agent's secure configuration.

#### Other ways for agents to pay

Apify also supports **MPP** for prepaid access through AGI and **Skyfire** for eligible Actors. If your agent already uses one of these, see the [agentic payment guide](https://docs.apify.com/agents/payments) to choose the right setup.

### FAQ

#### Can I export Meetup events to CSV or Excel?

Yes. Open the run's dataset and select CSV, Excel or JSON export. API clients can read the same dataset.

#### Is this a Meetup events API alternative?

It provides public event records through the Apify API, not official Meetup API access. It cannot access private content or guarantee the same coverage and filters as Meetup's own services.

#### Why are results unrelated, missing or fewer than requested?

Public availability and Meetup recommendations vary. `maxItems` is only a ceiling, and topic/location matching is not enforced. Try a specific public event URL when you need one known event, and inspect `RUN_SUMMARY` for source failures.

#### Does it collect attendee names or resume a previous run?

No attendee identities are exported. Automatic checkpoint continuation is not implemented. Submit pending source URLs through `startUrls` for a new run.

### Related Actors

- [Eventbrite Events Scraper](https://apify.com/fetch_cat/eventbrite-events-scraper) — Discover public Eventbrite events.
- [Facebook Events Scraper](https://apify.com/fetch_cat/facebook-events-scraper) — Research public Facebook events.
- [Luma Events Scraper](https://apify.com/fetch_cat/luma-events-scraper) — Collect public Luma event information.
- [AllEvents Events Scraper](https://apify.com/fetch_cat/allevents-events-scraper) — Explore another public event source.
- [Google Maps Places Scraper](https://apify.com/fetch_cat/google-maps-places-scraper) — Research venues and nearby places.

### Support and feedback

For custom additions or integrations, email <hello@fetchcat.dev>.

Found an error or have a feature request? [Open an issue](https://apify.com/fetch_cat/meetup-events-scraper/issues) with the run URL, a non-sensitive input example and what you expected.

Need help sharing it? See [Apify’s guide to sharing a run when reporting an issue](https://docs.apify.com/account/collaboration/general-resource-access#automatically-sharing-runs-via-actor-issues). Sharing a run can give the developer access to its input, logs and results, so use a run that contains no sensitive data. Please leave out API tokens, passwords, cookies, private documents and personal data. Use a public sample URL or a redacted example instead.

Tried this scraper? We'd love to hear how it worked for you. [Leave a review](https://apify.com/fetch_cat/meetup-events-scraper/reviews) to help others choose the right tool and help us improve it. Your feedback means a lot to us.

Made with care for curious people, AI agents and the possibilities in data. ♥

# Changelog

This Actor's version history is a separate document: https://apify.com/fetch_cat/meetup-events-scraper/changelog.md

# Actor input Schema

## `startUrls` (type: `array`):

Public https://www.meetup.com/ find, group, or event URLs. Use these, Keywords, or both; at least one usable URL or keyword is needed (up to 100 combined source URLs). Only events exposed on each fetched page are collected; a group URL does not guarantee a complete calendar.

## `keywords` (type: `array`):

Terms used to construct Meetup search URLs. Results can include Meetup recommendations outside the requested topic. The Actor does not enforce keyword matching or offer a sort control.

## `location` (type: `string`):

Location text added to keyword search URLs, such as Berlin, Germany. This does not modify Start URLs. Meetup may resolve a different location, so inspect returned cities before using a regional dataset.

## `maxItems` (type: `integer`):

Shared upper limit on saved events across all sources, from 1 to 10000. The form/schema default is 10; when an API input reaches the runtime without this key, its fallback is 25. This is a ceiling, not a promise of coverage or a minimum result count.

## `includeDetails` (type: `boolean`):

Open discovered event detail pages for additional public fields. Enabled by default. Disable for a smaller sampling workload. Missing fields remain null; enrichment does not guarantee complete data.

## `resumeStartUrls` (type: `array`):

Legacy accepted field, currently not used by the entrypoint. To retry pending sources from RUN_SUMMARY, put their URLs in Start URLs. No automatic checkpoint continuation is provided.

## `proxyConfiguration` (type: `object`):

Optional connection settings used from the first request when configured. The form prefill explicitly disables Apify Proxy; omission is passed to the Apify SDK unchanged. Existing proxyConfiguration values, managed settings, custom proxy URLs and explicit opt-outs are passed through without a new selector or override. There is no automatic switch from a failed direct request to a paid proxy. Use only valid SDK proxy configuration; invalid settings are not converted to a fallback. Proxy use can incur platform charges.

## Actor input object example

```json
{
  "startUrls": [
    {
      "url": "https://www.meetup.com/find/?keywords=data&source=EVENTS"
    }
  ],
  "keywords": [
    "data"
  ],
  "location": "Berlin, Germany",
  "maxItems": 10,
  "includeDetails": true,
  "proxyConfiguration": {
    "useApifyProxy": false
  }
}
```

# Actor output Schema

## `overview` (type: `string`):

No description

# 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 = {
    "startUrls": [
        {
            "url": "https://www.meetup.com/find/?keywords=data&source=EVENTS"
        }
    ],
    "keywords": [
        "data"
    ],
    "location": "Berlin, Germany",
    "maxItems": 10,
    "includeDetails": true,
    "proxyConfiguration": {
        "useApifyProxy": false
    }
};

// Run the Actor and wait for it to finish
const run = await client.actor("fetch_cat/meetup-events-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 = {
    "startUrls": [{ "url": "https://www.meetup.com/find/?keywords=data&source=EVENTS" }],
    "keywords": ["data"],
    "location": "Berlin, Germany",
    "maxItems": 10,
    "includeDetails": True,
    "proxyConfiguration": { "useApifyProxy": False },
}

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

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

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

```

## CLI example

```bash
echo '{
  "startUrls": [
    {
      "url": "https://www.meetup.com/find/?keywords=data&source=EVENTS"
    }
  ],
  "keywords": [
    "data"
  ],
  "location": "Berlin, Germany",
  "maxItems": 10,
  "includeDetails": true,
  "proxyConfiguration": {
    "useApifyProxy": false
  }
}' |
apify call fetch_cat/meetup-events-scraper --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,fetch_cat/meetup-events-scraper"
        }
    }
}
```

The hosted server signs you in with OAuth on first connect, so no API token belongs in this config. Clients without OAuth support can send an `Authorization: Bearer <APIFY_API_TOKEN>` header instead, using a token from API & Integrations in Apify Console (https://console.apify.com/settings/integrations).

## OpenAPI specification

Download the OpenAPI definition: https://api.apify.com/v2/actors/fzEeOLykfcmre15oy/builds/WfNsgDp5l7tm6GvQl/openapi.json
