📈 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

Field	Type	Description
maxItems	integer	Free users limited to 10 items. Paid users up to 1,000,000.
imageUrl	string	Primary image URL.
title	string	Record title.
url	string	Source URL.

Example preview run

{
  "maxItems": 10
}

Example filtered run

{
  "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

[
  {
    "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
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
• Open in Claude
• Open in Perplexity
• Open in Copilot

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.

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🆘 Need Help? Open our contact form

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