# Euronext Equities Directory Scraper (`parseforge/euronext-equities-scraper`) Actor

Unlock live and historical financial records from Euronext Equities including symbol, price, change, volume, market cap and fundamentals when published. Designed for traders, analysts and quantitative research teams. Run on demand or on a recurring schedule and feed every row into your favourite.

- **URL**: https://apify.com/parseforge/euronext-equities-scraper.md
- **Developed by:** [ParseForge](https://apify.com/parseforge) (community)
- **Categories:** Other, Lead generation
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, NaN bookmarks
- **User rating**: No ratings yet

## Pricing

Pay per usage

This Actor is paid per platform usage. The Actor is free to use, and you only pay for the Apify platform usage, which gets cheaper the higher subscription plan you have.

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

## 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

![ParseForge Banner](https://github.com/ParseForge/apify-assets/blob/ad35ccc13ddd068b9d6cba33f323962e39aed5b2/banner.jpg?raw=true)

## 📈 Euronext Equities Scraper

> 🚀 **Get Euronext-listed equity directory data in seconds.** A clean, structured dataset with 9 fields per record, pulled live from the source.

> 🕒 **Last updated** 2026-05-27 · **📊 9 fields** per record · **Pay-per-result pricing** · **Public data only**

This Actor pulls Euronext-listed equity directory data and turns it into a structured dataset ready for analysts, researchers, and downstream pipelines. Every run hits the live source, normalises records into a flat schema, and pushes them straight to your Apify dataset.

Coverage is updated on every run, and the structured rows mean you can plug the dataset straight into BI tools, data warehouses, and automation platforms without writing extra glue code.

| 🎯 Target Audience | 💡 Primary Use Cases |
|---|---|
| Data analysts, researchers, developers | Market research, dataset enrichment, competitive intelligence, lead generation |
| BI teams, agencies, indie builders | Dashboards, alerts, pipelines, custom apps |

### 📋 What the Euronext Equities Scraper does

- Fetches the public source in real time.
- Normalises every record into a flat schema with 9 fields.
- Pushes rows straight to your Apify dataset.
- Supports keyword filters, pagination, and per-run limits via `maxItems`.
- Designed for headless, repeatable runs (cron, Make, Zapier, webhooks).

> 💡 **Why it matters** the source is public but unstructured. This Actor turns it into queryable rows you can join, filter, and chart instantly.

### 🎬 Full Demo

_🚧 Coming soon_

### ⚙️ Input

<table>
<tr><th>Field</th><th>Type</th><th>Description</th></tr>
<tr><td><code>maxItems</code></td><td>integer</td><td>Free users limited to 10 items. Paid users up to 1,000,000.</td></tr>
<tr><td><code>imageUrl</code></td><td>string</td><td>Primary image URL.</td></tr>
<tr><td><code>title</code></td><td>string</td><td>Record title.</td></tr>
<tr><td><code>url</code></td><td>string</td><td>Source URL.</td></tr>
</table>

#### Example preview run

```json
{
  "maxItems": 10
}
````

#### Example filtered run

```json
{
  "maxItems": 5
}
```

> ⚠️ **Good to Know** free accounts are capped at 10 items per run as a preview. Upgrade to a paid plan to unlock up to 1,000,000 items per run.

### 📊 Output

Each record contains these 9 fields:

| Field | Type | Description |
|---|---|---|
| `imageUrl` | string | Primary image URL. |
| `title` | string | Record title. |
| `url` | string | Source URL. |
| `id` | string | Record identifier. |
| `exchange` | string | exchange value from the source. |
| `changePercent` | string | changePercent value from the source. |
| `lastTradeTime` | string | lastTradeTime value from the source. |
| `scrapedAt` | string | ISO 8601 timestamp of the scrape. |
| `error` | string | Error message (only present on failure records). |

#### Sample records

```json
[
  {
    "title": "Sample record",
    "scrapedAt": "2026-05-27T21:10:25.497Z",
    "error": null
  }
]
```

### ✨ Why choose this Actor

| | |
|---|---|
| ⚡ **Fast** | Lean HTTP pipeline. No browser overhead. |
| 🎯 **Accurate** | Normalised fields, deduplicated rows, real-time fetch. |
| 💰 **Pay-per-result** | Pay only for the records pushed to your dataset. |
| 🔌 **Integration-ready** | One-click Make, Zapier, Slack, GitHub, Google Drive. |
| 🛠️ **Maintained** | Updated whenever the upstream source shifts shape. |

### 📈 How it compares to alternatives

| Approach | Speed | Cost | Maintenance |
|---|---|---|---|
| Manual collection | 🐌 Slow | 💸 Wasted hours | 🛑 Breaks often |
| Custom script | ⚡ Fast | 💻 Dev hours | 🛠 You maintain it |
| **This Actor** | ⚡ Fast | 💰 Pay per row | ✅ We maintain it |

### 🚀 How to use

1. [Create a free account w/ $5 credit](https://console.apify.com/sign-up?fpr=vmoqkp)
2. Open the Actor page on Apify Console.
3. Fill in the input form (or paste an input).
4. Click **Start** and watch the dataset populate live.
5. Pipe the dataset into your stack via API, integration, or webhook.

### 💼 Business use cases

#### 📈 Market research

Pull a fresh slice of the source whenever you need it. No more stale manual collections.

#### 🎯 Lead generation

Combine with enrichment Actors to turn raw rows into outbound-ready lists.

#### 🧪 Data science

Use the dataset as a clean input for notebooks, ML pipelines, or dashboards.

#### 📊 Competitive intelligence

Track changes over time by scheduling daily or weekly runs and diffing snapshots.

### 🔌 Automating Euronext Equities Scraper

Use Apify's integrations to wire the dataset into your stack.

- **Make** trigger a scenario when a run finishes
- **Zapier** fan out new rows to Sheets, Airtable, Notion
- **Slack** get a notification with the dataset link
- **Airbyte** sync results into your data warehouse
- **GitHub Actions** schedule runs from your CI
- **Google Drive** auto-archive the dataset

### 🌟 Beyond business use cases

#### 🔬 Research

Use the dataset for academic studies, longitudinal analyses, or sector reports.

#### 🎓 Personal projects

Bootstrap side projects, dashboards, niche search engines, alerts.

#### 🤝 Non-profit

Investigations, policy work, transparency tools. Public data put to public use.

#### 🧪 Experimentation

Prototype quickly. The Actor is the boring plumbing so you can focus on the idea.

### 🤖 Ask an AI assistant about this scraper

- [Open in ChatGPT](https://chat.openai.com/)
- [Open in Claude](https://claude.ai/)
- [Open in Perplexity](https://www.perplexity.ai/)
- [Open in Copilot](https://copilot.microsoft.com/)

Paste this link and ask "summarise this Actor and suggest 5 use cases" `https://apify.com/parseforge/euronext-equities-scraper`

### ❓ Frequently Asked Questions

**🟢 Is the data live?**  Yes. Every run hits the source and returns fresh data.

**🟢 Do I need an API key?**  No. Everything happens through your Apify account.

**🟢 Which output options are available?**  All standard Apify dataset options (table view, API, integrations, webhooks).

**🟢 Can I schedule it?**  Yes, with Apify Schedules or external cron via Make/Zapier.

**🟢 What's the cost?**  Pay-per-result. See the pricing tab on the Actor page.

**🟢 Is this affiliated with Euronext Equities?**  No. Independent scraper. Public data only.

**🟢 Do you store the data?**  Your Apify dataset, your data. We don't hold copies.

**🟢 What if the upstream changes shape?**  Open a ticket and we'll patch the Actor.

**🟢 Can I filter results?**  Yes, see the input section above for filters.

**🟢 Will every record contain the full schema?**  Yes. 9 fields per row.

**🟢 Can I integrate it with Make or Zapier?**  Yes. See the automation section.

### 🔌 Integrate with any app

Apify exposes a REST API and webhooks. Plug the dataset into Make, Zapier, n8n, Airbyte, Slack, Google Sheets, Airtable, Notion, Postgres, BigQuery, Snowflake, GitHub Actions, Discord. Anywhere your team already works.

### 🔗 Recommended Actors

| Actor | What it does |
|---|---|
| [Google Search Scraper](https://apify.com/apify/google-search-scraper) | Pull SERP data for any keyword |
| [Web Scraper](https://apify.com/apify/web-scraper) | Generic HTML to row scraper |
| [Crunchbase Scraper](https://apify.com/parseforge/crunchbase-scraper) | Company profiles, funding, employees |
| [LinkedIn Profile Scraper](https://apify.com/parseforge/linkedin-profile-scraper) | LinkedIn profile data |
| [BBB Business Reviews Scraper](https://apify.com/parseforge/bbb-business-reviews-scraper) | Better Business Bureau reviews |

> 💡 **Pro Tip** browse the complete [ParseForge collection](https://apify.com/parseforge) for more public-data Actors.

**🆘 Need Help?** [Open our contact form](https://tally.so/r/BzdKgA)

> **⚠️ Disclaimer** independent tool, not affiliated with Euronext Equities. Only publicly available data is collected.

# Actor input Schema

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

Free users: 10. Paid users: optional, max 1,000,000.

## `mic` (type: `string`):

Comma-separated MIC codes (e.g. XPAR=Paris, XAMS=Amsterdam, XBRU=Brussels, XLIS=Lisbon, XMIL=Milan, XOSL=Oslo, XLDN=London).

## Actor input object example

```json
{
  "maxItems": 10,
  "mic": "XPAR,XAMS,XBRU,XLIS"
}
```

# Actor output Schema

## `results` (type: `string`):

Scraped records.

# 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 = {
    "maxItems": 10,
    "mic": "XPAR,XAMS,XBRU,XLIS"
};

// Run the Actor and wait for it to finish
const run = await client.actor("parseforge/euronext-equities-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 = {
    "maxItems": 10,
    "mic": "XPAR,XAMS,XBRU,XLIS",
}

# Run the Actor and wait for it to finish
run = client.actor("parseforge/euronext-equities-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 '{
  "maxItems": 10,
  "mic": "XPAR,XAMS,XBRU,XLIS"
}' |
apify call parseforge/euronext-equities-scraper --silent --output-dataset

```

## MCP server setup

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

```

## OpenAPI specification

```json
{
    "openapi": "3.0.1",
    "info": {
        "title": "Euronext Equities Directory Scraper",
        "description": "Unlock live and historical financial records from Euronext Equities including symbol, price, change, volume, market cap and fundamentals when published. Designed for traders, analysts and quantitative research teams. Run on demand or on a recurring schedule and feed every row into your favourite.",
        "version": "0.1",
        "x-build-id": "5p9VlEqLfXD5ulgxO"
    },
    "servers": [
        {
            "url": "https://api.apify.com/v2"
        }
    ],
    "paths": {
        "/acts/parseforge~euronext-equities-scraper/run-sync-get-dataset-items": {
            "post": {
                "operationId": "run-sync-get-dataset-items-parseforge-euronext-equities-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": {
                                "$ref": "#/components/schemas/inputSchema"
                            }
                        }
                    }
                },
                "parameters": [
                    {
                        "name": "token",
                        "in": "query",
                        "required": true,
                        "schema": {
                            "type": "string"
                        },
                        "description": "Enter your Apify token here"
                    }
                ],
                "responses": {
                    "200": {
                        "description": "OK"
                    }
                }
            }
        },
        "/acts/parseforge~euronext-equities-scraper/runs": {
            "post": {
                "operationId": "runs-sync-parseforge-euronext-equities-scraper",
                "x-openai-isConsequential": false,
                "summary": "Executes an Actor and returns information about the initiated run in response.",
                "tags": [
                    "Run Actor"
                ],
                "requestBody": {
                    "required": true,
                    "content": {
                        "application/json": {
                            "schema": {
                                "$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": {
                                    "$ref": "#/components/schemas/runsResponseSchema"
                                }
                            }
                        }
                    }
                }
            }
        },
        "/acts/parseforge~euronext-equities-scraper/run-sync": {
            "post": {
                "operationId": "run-sync-parseforge-euronext-equities-scraper",
                "x-openai-isConsequential": false,
                "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.",
                "tags": [
                    "Run Actor"
                ],
                "requestBody": {
                    "required": true,
                    "content": {
                        "application/json": {
                            "schema": {
                                "$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": {
                    "maxItems": {
                        "title": "Max Items",
                        "minimum": 1,
                        "maximum": 1000000,
                        "type": "integer",
                        "description": "Free users: 10. Paid users: optional, max 1,000,000."
                    },
                    "mic": {
                        "title": "Market MIC Codes",
                        "type": "string",
                        "description": "Comma-separated MIC codes (e.g. XPAR=Paris, XAMS=Amsterdam, XBRU=Brussels, XLIS=Lisbon, XMIL=Milan, XOSL=Oslo, XLDN=London)."
                    }
                }
            },
            "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
                                    }
                                }
                            }
                        }
                    }
                }
            }
        }
    }
}
```
