Fifa Email Scraper

🔍 Fifa Email Scraper – Overview

The Fifa Email Scraper is an Apify Actor that extracts public email addresses from Fifa. Give the Fifa Email Scraper some keywords and, if you like, a location, and it returns a tidy dataset of Fifa contact data: the email address, the page it came from, a short description and the search that found it. It is built for B2B prospecting and outreach.

Fifa is the international governing body of football. The Fifa Email Scraper is built for anyone who wants to contact football agents, managers and sports professionals without searching page by page, from B2B prospecting to recruiting. You stay in control with keyword, location, domain and limit settings, and you download the Fifa email list in the format you prefer. ✅

✨ Fifa Email Scraper at a glance

• Platform: Fifa (fifa.com)
• What you get: public email addresses of football agents, managers and sports professionals
• How you search: keywords, locations and email domains
• Data: email, page title, description, link and lead details
• Best for: B2B lead generation, prospecting and outreach
• Export: JSON, CSV, Excel or the Apify API

Whether you run the Fifa Email Scraper once for a quick list or on a schedule for ongoing Fifa lead generation, the settings stay the same, so results from different runs are easy to compare.

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⭐ Fifa Email Scraper – Key Features

The Fifa Email Scraper is built for fast, repeatable Fifa lead generation:

• All-in-one email finder – the Fifa Email Scraper locates Fifa pages for your keywords and extracts the email addresses shown there, so the Fifa Email Scraper is both an email finder and an email extractor for Fifa.
• Fifa keyword search – run several keywords in one go, such as "agent" and "manager", and collect contact data for each.
• Location targeting – narrow results to a country, state or city, or add a list of extra locations that are each searched on their own.
• Email domain control – look for @gmail.com, @yahoo.com, @outlook.com or your own suffixes, accept any address, or keep business emails only.
• Must-include and exclude words – keep only results that mention the words you need and skip snippets with words you do not want.
• Limits that protect your budget – cap the emails per search combination and set one total limit for the whole run.
• Parallel searches – the Fifa Email Scraper can run up to 10 Fifa searches at the same time to finish long keyword lists sooner.
• Duplicate-free results – an email found by several searches is saved only once, so your email list stays clean.
• Do-not-contact list – keep opted-out addresses and existing contacts out of your dataset.
• Lead history – skip emails you already collected in earlier runs, so you only get new leads.
• Optional extras – add phone numbers shown in the result text and check email domains before saving.
• Resumable runs – an interrupted Fifa Email Scraper run continues from its saved progress instead of starting over.
• Only Fifa results – results from other websites are dropped, so every row links to a page on Fifa.
• Ready for your tools – send leads to a CRM, spreadsheet or automation through Apify integrations and webhooks.

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📊 Fifa Email Scraper – What Data You Can Extract

The Fifa Email Scraper saves one row of Fifa contact data for every unique email address:

Field	What it contains
network	Source label, Fifa.com
keyword	The keyword that produced the result
title	Title of the result
description	Result text in which the email appeared
url	Link to the page
email	The email address
location	Location used for the search, or null
emailType	free for webmail providers, business for other domains
username	Handle or first path segment of the Fifa link, when it can be read
followersCount	Follower count if the result text shows one, otherwise null
influencerTier	Under 1K, Nano, Micro, Macro or Mega, from the follower count; null if unknown
emailStatus	Only with email verification: valid or unverified
phoneNumbers	Only with phone extraction: numbers found in the result text

💡 Good to know: the Fifa Email Scraper reads the public text shown for each Fifa result. Only email addresses that are visible there can be found, so results depend on what Fifa users publish.

Every row is structured data, so the Fifa email list can go straight into a CRM, a spreadsheet or an outreach tool.

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🚀 Fifa Email Scraper – How to Use It

Getting your first Fifa email list with the Fifa Email Scraper takes only a few minutes:

• Step 1 – Open the Actor: open the Fifa Email Scraper in Apify Store and click Start.
• Step 2 – Add keywords: enter one or more Fifa search terms, for example "agent".
• Step 3 – Set a location (optional): type a country or city such as Zurich, or leave the field empty.
• Step 4 – Choose email types: keep @gmail.com or add other suffixes, or switch the email mode to any address or business emails only.
• Step 5 – Set limits: decide how many emails each combination may collect and, if you like, a total for the run.
• Step 6 – Run and export: start the Fifa Email Scraper, follow the dataset as it fills, then download JSON, CSV or Excel.

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🎯 How to Extract Fifa Emails by Keyword and Location

Every Fifa keyword is combined with every location and every email suffix, and each combination is its own search with its own email target. Two keywords, three locations and two suffixes make 12 searches. With the Fifa Email Scraper, use the total limit to keep large Fifa runs predictable, and use the extra locations list to cover many cities, for example Zurich, in a single run. A search for "agent" in Zurich is one combination, and "manager" in Zurich is another.

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🧭 Can You Filter Fifa Email Scraper Results by Email Domain?

Yes. The email mode setting of the Fifa Email Scraper has three options:

• Only the domains listed – the default; finds exactly the suffixes you enter, such as @gmail.com.
• Any email address – accepts every address found in Fifa result text, whatever the domain.
• Business emails only – accepts any address except free webmail providers like Gmail, Yahoo or Outlook, which suits B2B outreach on Fifa.

The two broad modes find addresses a fixed list would miss, but expect fewer results per search and some noise.

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💼 Fifa Email Scraper – Use Cases

Teams use the Fifa Email Scraper for:

• Sports industry outreach – a ready email list of football agents, managers and sports professionals that you can contact right away.
• Agent and club prospecting – search "agent" in Zurich or any other place and compare the Fifa results by location.
• Sponsorship campaigns – export the contact data to your CRM, spreadsheet or B2B outreach tool.
• Media pitching – schedule the Fifa Email Scraper to keep your Fifa lead generation running.

Because the Fifa Email Scraper returns structured data, it fits manual research as well as automated lead generation and outreach pipelines.

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⚙️ Fifa Email Scraper – Input

The Fifa Email Scraper accepts the fields below. Only keywords is required; every other field has a default.

Field	Type	Default	What it does
keywords	list	["agent", "manager"]	Keywords to look for, one per line. Each keyword runs on its own.
location	text	empty	Optional country, state or city added to every search.
locations	list	[]	Extra places, each searched separately with the same keywords.
emailSearchMode	text	domainList	Which emails to look for: your domain list, any address, or business emails only.
customDomains	list	["@gmail.com"]	Email suffixes to look for, such as @gmail.com or @yahoo.com.
maxEmails	number	5	Emails per search combination (keyword + location + domain). Free accounts: 100 at most.
maxTotalEmails	number	0	Hard stop for the whole run. 0 means no total limit.
maxConcurrentSearches	number	5	How many searches run at the same time (1 to 10).
minFollowers	number	0	Keep only results showing at least this many followers. 0 switches it off. Mostly useful on social profiles.
maxFollowers	number	0	Keep only results showing at most this many followers. 0 switches it off. Mostly useful on social profiles.
profilesOnly	true/false	false	Keep only results whose link looks like a single profile page. Mostly useful on social profiles.
includeWords	list	[]	A result is kept only if it contains at least one of these words.
excludeWords	list	[]	Results containing any of these words are skipped.
extractPhoneNumbers	true/false	false	Also return phone numbers written in the result text.
verifyEmails	true/false	false	Check format, placeholders and mail servers before saving an address.
skipPreviouslyFoundEmails	true/false	false	Skip addresses saved by earlier runs under the same history name.
historyStoreName	text	fifa-email-history	Name of the saved history (lowercase letters, numbers, hyphens).
excludeEmails	list	[]	Addresses or @domains that must never appear in the results.

🧪 Example input

{
  "keywords": ["agent", "manager"],
  "location": "Zurich",
  "emailSearchMode": "domainList",
  "customDomains": ["@gmail.com", "@yahoo.com"],
  "maxEmails": 20,
  "maxTotalEmails": 100,
  "maxConcurrentSearches": 5,
  "excludeWords": ["spam"]
}

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📦 Fifa Email Scraper – Output

Results are written to the run's dataset as they are found, so you can watch the list grow. Each item contains the fields described above. A short run summary (unique emails, skipped results by reason, searches finished) is also stored with the run.

🧾 Example output

[
  {
    "network": "Fifa.com",
    "keyword": "agent",
    "title": "Agent in Zurich | Fifa",
    "description": "Example listing for agent in Zurich. Contact: sample.contact@gmail.com",
    "url": "https://fifa.com/sample_agent",
    "email": "sample.contact@gmail.com",
    "location": "Zurich",
    "emailType": "free",
    "username": "sample_agent",
    "followersCount": null,
    "influencerTier": null
  },
  {
    "network": "Fifa.com",
    "keyword": "manager",
    "title": "Second example result | Fifa",
    "description": "Another example description with sample.team@yahoo.com in the text.",
    "url": "https://fifa.com/sample_agent_2",
    "email": "sample.team@yahoo.com",
    "location": "Zurich",
    "emailType": "free",
    "username": "sample_agent_2",
    "followersCount": null,
    "influencerTier": null
  }
]

The data above is example data that shows the structure of Fifa results.

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💰 Fifa Email Scraper – Pricing

The Fifa Email Scraper uses Apify's pay-per-result model: you pay for the Fifa emails that are saved to your dataset. Duplicates, addresses removed by your filters and addresses that fail verification are not saved or charged.

• Keep costs predictable: set maxEmails, maxTotalEmails and the maximum cost of the run.
• Free Apify plans: up to 100 emails per search combination.
• Current rates: see the pricing information on the Actor page.

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✅ Fifa Email Scraper – Tips and Best Practices

Get more from the Fifa Email Scraper with these habits:

• Use several specific keywords – instead of only one broad term, try close variations such as "agent" and "manager".
• Start small – run the Fifa Email Scraper with a low maxEmails first, check the results, then scale up.
• Loosen the search if results are sparse – add more email suffixes, more keywords or clear the location.
• Use include and exclude words – they keep the email list relevant and remove noise.
• Raise parallel searches – 5 to 10 searches at once finish long runs sooner.
• Use lead history for repeat runs – switch on skipping of earlier emails so each run returns new leads only and your outreach never repeats.

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❓ Fifa Email Scraper – Frequently Asked Questions

💬 What is the Fifa Email Scraper?

It is an Apify Actor and email finder that extracts public email addresses from Fifa based on your keywords and saves them as structured data, ready for outreach.

💬 Who is the Fifa Email Scraper for?

It is for anyone who needs contact data for football agents, managers and sports professionals: sales teams, recruiters, agencies and researchers. Typical goals are sports industry outreach and agent and club prospecting.

💬 How does the Fifa Email Scraper find emails on Fifa?

It searches public results for Fifa pages with each keyword and reads the email addresses shown in the result title and description. Results from other websites are skipped.

💬 Do I need to log in to Fifa to use the Fifa Email Scraper?

No. The Fifa Email Scraper works without any Fifa login or account.

💬 Can I extract Fifa emails for a specific city or country?

Yes. Use the location field for one place or the locations list for several, for example Zurich. Each location is searched separately.

💬 What data does the Fifa Email Scraper return?

Each row has the email address, the keyword, the page title, description and link, the location, the email type and optional follower, phone and verification fields.

💬 Can the Fifa Email Scraper get phone numbers from Fifa as well?

Yes, optionally. Switch on phone extraction and the Fifa Email Scraper adds the numbers written in the result text to the phoneNumbers field.

💬 Why did my Fifa run return fewer emails than expected?

The Fifa Email Scraper can only find addresses that are publicly shown for Fifa results. Try more keywords, more email suffixes, a broader location or the any-address mode.

💬 How do I export Fifa emails to CSV or Excel?

Open the run's dataset and choose CSV, Excel or JSON, or fetch the email list through the Apify API.

💬 Is the Fifa Email Scraper an email finder or an email extractor?

Both. The Fifa Email Scraper finds Fifa pages for your keywords and extracts the email addresses shown there, so it works as an email finder and an email extractor for Fifa.

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🤝 Support

Questions, ideas or a custom scraper for Fifa? The Fifa Email Scraper is actively maintained, so get in touch:

• contact me by email : alphascraper69@gmail.com