Vimeo Email Scraper

Vimeo Email Scraper — public filmmaker and videographer emails

The Vimeo Email Scraper is an Apify Actor that collects publicly indexed contact emails belonging to Vimeo filmmakers, videographers, studios and production companies. Keywords go in; a clean lead dataset comes out.

Vimeo is where professionals host portfolios, and professionals publish contact details. Reels, showcases and channel bios routinely carry a "hire me" or "inquiries" address, and Google indexes that text — which is what makes a search-based Vimeo Email Scraper viable at all.

The Vimeo Email Scraper searches Google for exactly those pages. It never logs into Vimeo, never uses the Vimeo API and never opens vimeo.com — every field comes from publicly available search results.

If you have ever hand-run site:vimeo.com wedding videographer "gmail.com" and pasted hits into a spreadsheet, the Vimeo Email Scraper is that workflow automated, deduplicated and exported as JSON or CSV.

Who it is for

• Production companies sourcing freelance DPs, editors and colorists
• Agencies building a videographer contact list by city
• Camera, lens and lighting brands running creator seeding
• Film festivals and funds doing filmmaker outreach
• Music licensing and stock platforms recruiting contributors
• Recruiters hiring motion designers and post-production talent

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Key features

Everything in the Vimeo Email Scraper feature list below is implemented in code — nothing here is aspirational.

Feature	What it does
Google site: search	Builds queries against vimeo.com so only Vimeo pages are parsed
Query expansion	Base, quoted and intitle: variants plus one query per modifier
Query modifiers	Defaults tuned for Vimeo: email, contact, inquiries, hire, work with me
Domain filtering	Keeps only emails on the mailbox domains you list, e.g. @gmail.com
Global deduplication	One row per unique email across every query and every page
Email normalisation	Understands name [at] domain [dot] com, (at), name @ domain.com, ＠ and zero-width characters
Junk filter	Rejects placeholders such as email@, yourname@, test@, xxx@
Boundary-correct matching	@gmail.com will not match inside @gmail.company or @gmail.com.br
Concurrency	An asyncio worker pool runs several queries in parallel
Retry logic	Up to 3 attempts per page with exponential backoff and a fresh proxy session
Block detection	CAPTCHA, "unusual traffic" and consent pages are detected and retried, not counted as empty
Resumable state	Run state lives in the key-value store and survives migration
Fallback parser	If Google's markup changes, output degrades to emails-without-details, not zero rows
Streaming dataset	Each lead is pushed to the Apify dataset the moment it is found

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How the Vimeo Email Scraper works

The Vimeo Email Scraper uses no browser, no JavaScript rendering, no authentication and no cookies. The pipeline is deliberately simple.

1. Read the input. Keywords, location, email domains and limits are loaded from the Actor input.

2. Build the queries. Each keyword is combined with each email domain and the site:vimeo.com operator, for example:

site:vimeo.com wedding videographer "@gmail.com" "Barcelona" inquiries

3. Expand the query set. With expandQueries on, every keyword × domain pair also runs quoted, as intitle:, and once per modifier. Base queries run first, so the strongest search results arrive early.

4. Fetch through the proxy. Result pages are requested asynchronously with aiohttp through the Apify GOOGLE_SERP proxy, paginating up to maxPagesPerQuery.

5. Parse structurally. For each result the parser finds the <h3> title and walks up to the smallest surrounding block. It does not depend on Google's CSS class names, which change often.

6. Extract and clean. A domain-filtered regex pulls emails out of the block text. Soft-wrap repair drops a hit that is only the tail of another address in the same block.

7. Deduplicate and push. Emails are deduplicated globally and written straight to the dataset. The run stops once maxEmails unique addresses exist.

Blocked or failed queries are re-queued once at the end of the run, so a temporary block does not quietly cost you leads.

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What data does the Vimeo Email Scraper extract?

Every dataset item the Vimeo Email Scraper produces carries the same 14 fields — flat structured data, no nesting, ready for a CRM import or a spreadsheet.

On Vimeo you often get a real fullName alongside the handle, because portfolio pages are titled with the person's or studio's name. That makes personalised outreach much easier than on handle-only platforms.

The description field holds the bio or video-description snippet Google displayed, cleaned of labels and engagement counters — enough to tell a wedding shooter from a commercial director before you write.

Because the Vimeo Email Scraper stores the originating keyword and query on every row, you can measure which searches produced leads and retire the ones that did not.

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Input fields

The input schema is small on purpose. These nine fields are the entire configuration surface of the Vimeo Email Scraper.

Field	Type	Default	Meaning
keywords	array (required)	["filmmaker", "videographer"]	Search terms: craft, specialism or industry
location	string	""	Optional location phrase added to every query
customDomains	array	["@gmail.com","@yahoo.com"]	Only emails on these domains are kept; the @ is optional
maxEmails	integer 1–10000	20	Stop after this many unique emails
countryCode	string	""	Two-letter country for the search proxy (US, GB, DE…)
expandQueries	boolean	true	Search each keyword × domain in several phrasings
queryModifiers	array	["email","contact","inquiries","hire","work with me"]	Extra words combined with each keyword when expansion is on
maxPagesPerQuery	integer 1–50	30	Pagination cap per query
maxConcurrency	integer 1–20	5	Parallel queries

Craft keywords beat generic ones. Feed the Vimeo Email Scraper colorist, drone operator, documentary editor or corporate video production and each returns a very different lead pool.

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Output fields and dataset structure

The output schema of the Vimeo Email Scraper is fixed. Every row carries all 14 fields below, so downstream parsing never has to guess.

Field	Meaning
network	Platform name
keyword	The keyword that produced the lead
query	The exact Google query used
title	Raw result title
accountName	Account label Google prints (handle, studio or display name)
fullName	Display name parsed from a profile-style title; empty for video-page titles
username	URL-safe handle when Vimeo exposes one; otherwise null
profileUrl	Canonical Vimeo profile URL when a handle is known; otherwise empty
url	Direct Vimeo link when exposed, else the profile URL
description	Bio or video-description snippet, cleaned of labels and counters
email	Lower-cased email address
emailDomain	The matched domain, e.g. @gmail.com
possiblyTruncated	true when Google's snippet ellipsis touched the email
foundAt	ISO 8601 UTC timestamp

Export the Vimeo Email Scraper dataset as JSON, CSV, Excel or XML from the Apify console, or read it through the API.

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How to use the Vimeo Email Scraper

Running the Vimeo Email Scraper takes about a minute of setup.

1. Open the Vimeo Email Scraper on Apify and click Try for free.
2. Replace the default keywords with your craft niche — wedding videographer, commercial director, motion designer.
3. Set customDomains. Freelancers skew to @gmail.com; studios often use custom domains, so add those if you want agencies too.
4. Set location and countryCode if you hire regionally — this is where the Vimeo Email Scraper earns its keep for local production work.
5. Raise maxEmails, then press Start.
6. Watch the log — it reports pages fetched, blocked pages, retries and emails per page.
7. Export the dataset, or schedule the Actor to re-run monthly and append fresh leads.

Tip: run several narrow keyword sets rather than one broad one. Google caps a single query at roughly 300 results, so five focused Vimeo Email Scraper runs beat one generic run every time.

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Use cases and lead generation workflows

Teams use the Vimeo Email Scraper wherever contact discovery across professional video talent is the bottleneck. It works as a one-off list build or a scheduled data collection job.

Use case	How the Vimeo Email Scraper helps
Freelance crew sourcing	Build a shortlist of DPs, editors and colorists by city and specialism
Agency talent bench	Assemble a standing roster of vetted videographers to sub-contract
Gear and software seeding	Contact discovery among filmmakers for product placement and reviews
Film festival outreach	Reach independent directors with a public submissions contact
Stock and licensing recruitment	Find contributors whose reels match your catalogue gaps
Wedding and event marketplaces	Recruit local videographers onto a booking platform
Recruiting post-production staff	Surface motion designers and VFX artists advertising availability
CRM enrichment	Attach Vimeo handles and profile URLs to existing supplier records

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Why choose this Actor

It is honest about its source. Everything comes from Google's public index. No login, no walled-garden scraping, no fake "verified" badge on the data.

Names, not just handles. Vimeo's portfolio-style titles mean the Vimeo Email Scraper frequently returns a usable fullName, which matters for personalised outreach.

It survives Google layout changes. Structural parsing plus a whole-page fallback means a markup change degrades quality rather than breaking the run.

It is built for volume without waste. Global deduplication, a shared stop signal on maxEmails and streaming dataset writes mean the Vimeo Email Scraper collects what you asked for and then stops.

One schema across 40+ platforms. If you also source creators elsewhere, pair this with the YouTube Email Scraper for long-form channels, the Behance Email Scraper for motion-design portfolios and the Dailymotion Email Scraper for European video publishers.

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Limitations

Read this before running the Vimeo Email Scraper. These are real constraints, not boilerplate.

• Public index only. Only accounts whose email is visible in Google's index can be found. A filmmaker who hides their address behind a contact form will not appear.
• ~300 results per query. Google caps a single query at roughly 300 results, which is exactly why expandQueries exists — leave it on.
• Truncated emails. possiblyTruncated: true means Google's snippet ellipsis touched the address. Verify those rows before sending.
• Handle availability. username and profileUrl are only populated when Vimeo's handle appears in the result. Where Google shows only a display name, you still get accountName and fullName but an empty handle. This is a Google limitation, not a bug.
• Proxy requirement. The Actor requires the Apify GOOGLE_SERP proxy and cannot run without Apify proxy credentials.
• Free-plan cap. Free Apify plans are capped at 100 emails per run. Paid plans are uncapped.
• No volume guarantee. Results from the Vimeo Email Scraper vary with keywords, domains and location.

Use the output responsibly and in line with GDPR, CAN-SPAM and your local rules on unsolicited email.

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Related Actors

The Vimeo Email Scraper shares its crawler, parser and output schema with every Actor below. Swap the platform, keep the workflow.

Actor	What it collects
Vimeo Email and Phone Number Scraper	Emails and phone numbers from Vimeo
Vimeo Phone Number Scraper	Public phone numbers from Vimeo
Behance Email Scraper	Public contact emails from Behance
Bigo Live Email Scraper	Public contact emails from Bigo Live
Bluesky Email Scraper	Public contact emails from Bluesky
Bumble Email Scraper	Public contact emails from Bumble
Clubhouse Email Scraper	Public contact emails from Clubhouse
Dailymotion Email Scraper	Public contact emails from Dailymotion
DeviantArt Email Scraper	Public contact emails from DeviantArt
Discord Email Scraper	Public contact emails from Discord
Dribbble Email Scraper	Public contact emails from Dribbble
Facebook Email Scraper	Public contact emails from Facebook
Goodreads Email Scraper	Public contact emails from Goodreads
Hinge Email Scraper	Public contact emails from Hinge
Instagram Email Scraper	Public contact emails from Instagram
KakaoTalk Email Scraper	Public contact emails from KakaoTalk
Kick Email Scraper	Public contact emails from Kick
Lemon8 Email Scraper	Public contact emails from Lemon8
Likee Email Scraper	Public contact emails from Likee
LINE Email Scraper	Public contact emails from LINE
LinkedIn Email Scraper	Public contact emails from LinkedIn
Mastodon Email Scraper	Public contact emails from Mastodon
Medium Email Scraper	Public contact emails from Medium
Mixcloud Email Scraper	Public contact emails from Mixcloud
Patreon Email Scraper	Public contact emails from Patreon
Pinterest Email Scraper	Public contact emails from Pinterest
Quora Email Scraper	Public contact emails from Quora
Reddit Email Scraper	Public contact emails from Reddit
Rumble Email Scraper	Public contact emails from Rumble
Snapchat Email Scraper	Public contact emails from Snapchat
SoundCloud Email Scraper	Public contact emails from SoundCloud
Substack Email Scraper	Public contact emails from Substack
Telegram Email Scraper	Public contact emails from Telegram
Threads Email Scraper	Public contact emails from Threads
TikTok Email Scraper	Public contact emails from TikTok
Tinder Email Scraper	Public contact emails from Tinder
Tumblr Email Scraper	Public contact emails from Tumblr
Twitch Email Scraper	Public contact emails from Twitch
VK Email Scraper	Public contact emails from VK
WeChat Email Scraper	Public contact emails from WeChat
Weibo Email Scraper	Public contact emails from Weibo
X Email Scraper	Public contact emails from X

Example: JSON input and dataset output

A realistic Vimeo Email Scraper input targeting wedding and event videographers in Spain:

{
  "keywords": ["wedding videographer", "documentary filmmaker"],
  "location": "Barcelona",
  "customDomains": ["@gmail.com", "@icloud.com"],
  "maxEmails": 300,
  "countryCode": "ES",
  "expandQueries": true,
  "queryModifiers": ["email", "contact", "inquiries", "hire", "work with me"],
  "maxPagesPerQuery": 30,
  "maxConcurrency": 5
}

And a single dataset item the Vimeo Email Scraper returns:

{
  "network": "Vimeo",
  "keyword": "wedding videographer",
  "query": "site:vimeo.com wedding videographer \"@gmail.com\" \"Barcelona\" inquiries",
  "title": "Marta Ibáñez Films on Vimeo",
  "accountName": "martaibanezfilms",
  "fullName": "Marta Ibáñez",
  "username": "martaibanezfilms",
  "profileUrl": "https://vimeo.com/martaibanezfilms",
  "url": "https://vimeo.com/martaibanezfilms",
  "description": "Wedding and documentary films, Barcelona. Bookings and inquiries: marta.ibanez.films@gmail.com",
  "email": "marta.ibanez.films@gmail.com",
  "emailDomain": "@gmail.com",
  "possiblyTruncated": false,
  "foundAt": "2026-08-31T11:26:05Z"
}

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FAQ about the Vimeo Email Scraper

Does the Vimeo Email Scraper log into Vimeo?

No. The Vimeo Email Scraper never logs in, never uses the Vimeo API and never opens vimeo.com. All data comes from publicly indexed Google search results.

Where do the emails come from?

From the titles, snippets and site labels Google prints for Vimeo pages — typically profile bios and video descriptions where filmmakers publish hire or inquiry addresses.

Can the Vimeo Email Scraper find private or hidden emails?

No. If an address is not in Google's public index, this vimeo email extractor cannot find it.

Does the Vimeo Email Scraper work for studios as well as freelancers?

Yes. Add the studio's mailbox domains to customDomains — the default @gmail.com and @yahoo.com skew toward independent creators.

How is this different from a Vimeo API tool?

The Vimeo Email Scraper works entirely from search results, so it needs no API key, no OAuth token and no account permissions.

Why do some rows have an empty username and profileUrl?

Because Google showed only a display name for that result. You still get accountName, fullName and the email. It is a Google limitation, not a bug.

What does possiblyTruncated: true mean?

Google's snippet ellipsis touched the email, so it may be cut off. Verify those addresses before sending.

Do I need a proxy to run the Vimeo Email Scraper?

Yes. It requires the Apify GOOGLE_SERP proxy and cannot run without Apify proxy credentials.

How many emails can I get on a free plan?

Free Apify plans are capped at 100 emails per run. Paid plans are uncapped.

Should I leave expandQueries on?

Yes, in almost every case. Google caps one query at roughly 300 results, and expansion spreads the Vimeo Email Scraper across base, quoted, intitle: and modifier variants.

How do I get more results from a filmmaker email finder run?

Use more specific craft keywords, add more mailbox domains, raise maxPagesPerQuery, and run separate jobs per city.

Can I schedule it?

Yes. Schedule the Vimeo Email Scraper on Apify and it appends new leads on each run. Run state is resumable and survives platform migrations.

Is the output ready for a CRM?

Yes. The Vimeo Email Scraper writes flat structured data with 14 fixed fields, exportable as JSON, CSV, Excel or XML.

Is this affiliated with Vimeo?

No. The Vimeo Email Scraper is independent and is not affiliated with, endorsed by or officially supported by Vimeo.

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Support

Questions, a bug, or need a custom build of the Vimeo Email Scraper? Email neurodata.apify@gmail.com.