Europages Scraper

Search Europages by keyword and pull company profiles into a clean, structured dataset. Names, addresses, phone numbers, websites, founding years, employee counts, coordinates, supplier types, and product keywords — one row per company, ready to use.

What it does

Europages is one of Europe's largest B2B directories, listing several million companies across 26 countries. This actor searches it by keyword, pages through the results automatically, and pushes each company record to your dataset as it goes. Each page returns 30 companies; the actor keeps paging until it hits your per-keyword limit or runs out of results.

You can run multiple keywords in a single job. Each keyword gets its own independent search — so if you add three keywords at 100 results each, you get up to 300 records total, all in one run.

How it works

The actor fetches Europages search result pages and parses the structured company data embedded in each page's server-side rendered state. No scraping tricks, no browser automation — the data comes directly from the page payload, which means it's fast and reliable.

Each page is fetched with built-in bypass infrastructure to handle anti-bot measures. If a page returns an incomplete response, the actor retries up to 3 times before moving on.

Input

Field	Required	Default	Description
searchQueries	Yes	—	One or more keywords to search (e.g. embroidery, solar panels, steel pipes)
maxItems	No	100	Max company records to collect per keyword (max 1,000)
requestTimeoutSecs	No	60	Per-request timeout in seconds — raise to 90 or 120 if you see timeout errors

Example input

{
  "searchQueries": ["embroidery", "workwear", "textile printing"],
  "maxItems": 200
}

Output

Each dataset record is one company. Fields are omitted when the data is not publicly available rather than returned as null.

Field	Type	Description
companyName	string	Company name
companyBio	string	Short description from the company profile
city	string	City
countryCode	string	ISO country code (e.g. FR, DE, IT)
street	string	Street address
postalCode	string	Postal / zip code
phoneNumber	string	Phone number
website	string	Company website
logoUrl	string	Logo image URL
latitude	number	Geographic latitude
longitude	number	Geographic longitude
foundingYear	integer	Year the company was founded
employeeCount	string	Headcount range (e.g. 11-50, 51-200)
productCount	integer	Number of products listed on Europages
europagesUrl	string	Direct link to the company's Europages profile
europagesId	integer	Internal Europages company ID
keywords	array	Product and activity keywords from the profile
supplierTypes	array	Supplier labels (e.g. Manufacturer, Distributor)
packageTier	string	Europages membership tier — omitted for free listings
scrapedAt	string	ISO 8601 timestamp of when the record was collected

Example output record

{
  "companyName": "UNITON",
  "companyBio": "Since 2001, UNITON has been operating its various branches of activity in the European market, specialising in embroidery and related textile services.",
  "city": "Beaurepaire",
  "countryCode": "FR",
  "street": "Chemin du Pied Menu, ZI Les Fromentaux",
  "postalCode": "38270",
  "phoneNumber": "+33474482814",
  "website": "http://www.uniton.fr/",
  "logoUrl": "https://media.visable.com/company/9d8740d7-...",
  "latitude": 45.324625,
  "longitude": 5.052226,
  "foundingYear": 2001,
  "employeeCount": "5-9",
  "productCount": 10,
  "europagesUrl": "https://www.europages.co.uk/en/company/uniton-20160084/",
  "europagesId": 1344161,
  "keywords": ["embroidery", "textiles", "workwear"],
  "supplierTypes": ["distribution"],
  "scrapedAt": "2026-04-29T10:00:00+00:00"
}

Output format and export

Results are stored in an Apify dataset and available in multiple formats from the Apify console:

• JSON — default, one object per record
• CSV — flat spreadsheet, opens directly in Excel or Google Sheets
• XLSX — Excel format
• JSONL — one JSON object per line, useful for streaming pipelines

Use the Apify API to fetch results programmatically or connect via Zapier, Make, or any webhook-based integration.

Performance

Metric	Value
Results per page	30 companies
Retries per page	Up to 3 on empty response
Max results per keyword	1,000
Actor memory	512 MB
Actor timeout	1 hour

Speed depends on network latency and Europages server response time. Most searches collect 30 results in 3–6 seconds per page. A full run of 1,000 results across 34 pages typically takes 3–8 minutes.

Good use cases

• Building prospect lists of suppliers or manufacturers across multiple product categories in one run
• Finding European companies in a niche before entering a new market
• Enriching a CRM with contact data, coordinates, and founding years
• Mapping supplier density by country or product type
• Monitoring which companies list a particular product or service over time

Limitations

• Max 1,000 results per keyword. Europages limits how deep you can paginate. For very broad keywords that match tens of thousands of companies, narrow your search term or split by region using separate keyword runs.
• Contact data varies. Phone numbers are only shown when the company has chosen to make them public.
• Keyword matching is Europages' own. The actor collects whatever Europages returns for a given search term — it does not apply additional filtering.
• Free listings have no package tier. The packageTier field only appears for companies on paid Europages plans.

Tips

Be specific with keywords. cnc machining returns sharper results than manufacturing. solar panel installation beats energy. The more precise the term, the more relevant the companies.

Use multiple keywords in one job. Instead of running three separate jobs, add all your terms at once. Each runs independently with its own result limit.

Combine with country targeting. Europages search results already include a countryCode field on every record. After collection, filter your dataset by country in a spreadsheet or downstream pipeline.

Raise the timeout if needed. If you see timeout errors, set requestTimeoutSecs to 90 or 120. The default of 60 seconds covers most searches.