Bluesky Email Scraper

Bluesky Email Scraper

Bluesky Email Scraper — Extract Public Contact Emails from bsky.app

The Bluesky Email Scraper finds publicly indexed contact emails belonging to Bluesky accounts and delivers them as clean, structured data.

You give it keywords such as founder or developer, choose the email domains you care about, and the Bluesky Email Scraper returns a dataset of leads with account names, handles, bios and profile URLs.

Bluesky grew out of the AT Protocol into a home for developers, journalists, indie founders, scientists, illustrators and open-source maintainers. Many of them put a working email straight into their bio.

The Bluesky Email Scraper is built to surface exactly those bios. It is a Bluesky email extractor for lead generation, creator outreach, recruiting and partnership research — not a follower harvester and not an API client.

Important: this Bluesky Email Scraper never logs into Bluesky, never touches the AT Protocol API, and never opens bsky.app itself. Every record comes from publicly indexed Google search results.

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Key Features of the Bluesky Email Scraper

The feature set below reflects what the Bluesky Email Scraper genuinely does — no invented capabilities, no marketing fiction.

Feature	What it means in practice
Google site: search collection	The Bluesky Email Scraper queries Google restricted to bsky.app, so only Bluesky pages are parsed
Query expansion	Each keyword × domain pair is searched in several phrasings: base, quoted, intitle:, plus one variant per query modifier
Domain-filtered extraction	Only emails ending in your customDomains list are kept
Global deduplication	One email appears once across every query and every page of the run
Obfuscation-aware parser	Understands name [at] domain [dot] com, name (at) domain, name @ domain.com, domain .com, zero-width characters and the full-width ＠
Junk filter	Rejects placeholders like email@, yourname@, test@, xxx@ and single-character locals
Boundary-correct matching	@gmail.com will not match inside @gmail.company or @gmail.com.br
Soft-wrap repair	Discards a hit that is only the tail of another email in the same result block
Structural HTML parsing	Locates the <h3> title then the smallest surrounding block — it does not depend on Google's CSS class names
Whole-page fallback parser	If Google's markup changes, the run degrades to "emails without account metadata" rather than "no emails"
Concurrency	An asyncio worker pool runs several queries in parallel with a shared stop signal on maxEmails
Retry logic	Up to 3 attempts per page with exponential backoff and a fresh proxy session per request
Block detection	CAPTCHA, "unusual traffic" and consent pages are detected and retried, not silently counted as empty
Blocked-query requeue	Failed or blocked queries are re-queued once at the end of the run
Resumable state	Progress is stored in the key-value store keyed by a hash of your input, saved on PERSIST_STATE, MIGRATING and ABORTING
Streaming dataset writes	Each lead is pushed to the Apify dataset the moment it is found
Run summary	Logs pages fetched, blocked pages, retries and emails per page

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How the Bluesky Email Scraper Works

The Bluesky Email Scraper pipeline is short and deliberately transparent. There is no browser, no JavaScript rendering, no authentication and no cookies.

1. Read input. The Bluesky Email Scraper loads your keywords, optional location, email domains and limits.

2. Build queries. It composes Google queries with the site: operator, for example site:bsky.app founder "@gmail.com" "Berlin".

3. Fetch search results. Pages are requested asynchronously with aiohttp through the Apify GOOGLE_SERP proxy, with retry logic and proxy rotation on every attempt.

4. Parse result blocks. For each result the Bluesky Email Scraper finds the <h3> title, walks up to the smallest enclosing block, and reads the title, site label and snippet.

5. Extract and normalise emails. A domain-filtered regex pulls addresses out of the block text, then normalisation and the junk filter clean them up.

6. Deduplicate and push. Every unique email is written to the dataset immediately, so you can start exporting mid-run.

Because base queries run first, the earliest rows the Bluesky Email Scraper writes are usually the highest-signal ones.

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What Data Does the Bluesky Email Scraper Extract?

The Bluesky Email Scraper produces one dataset item per unique email, and every item carries the same 14 fields.

Alongside the address itself you get the account label Google printed, a parsed display name, the handle when Bluesky exposes one, a canonical bsky.app profile link, and the bio snippet the email came from.

You also get full provenance: the keyword and the exact Google query that produced the lead, plus a UTC timestamp.

That provenance matters. It lets you see which keyword is actually productive for your niche and retire the ones that are not.

Nothing outside these 14 fields is collected. The Bluesky Email Scraper does not touch follower counts, private data or anything behind a login.

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Bluesky Email Scraper Input Schema

Every field below is taken verbatim from the Bluesky Email Scraper input schema.

Field	Type	Default	Description
keywords	array (required)	["founder", "developer"]	Search terms describing the Bluesky accounts you want (niche, job title, industry)
location	string	""	Optional location phrase added to every query
customDomains	array	["@gmail.com", "@yahoo.com"]	Only emails on these domains are collected; the leading @ is optional
maxEmails	integer (1–10000)	20	Stop once this many unique emails have been collected
countryCode	string	""	Two-letter country code for the search proxy (US, GB, DE…)
expandQueries	boolean	true	Search each keyword × domain pair with 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	Page cap per query
maxConcurrency	integer (1–20)	5	How many queries run in parallel

JSON input example

{
  "keywords": ["indie game developer", "open source maintainer", "tech journalist"],
  "location": "Berlin",
  "customDomains": ["@gmail.com", "@proton.me"],
  "maxEmails": 300,
  "countryCode": "DE",
  "expandQueries": true,
  "queryModifiers": ["email", "contact", "inquiries", "hire", "work with me"],
  "maxPagesPerQuery": 30,
  "maxConcurrency": 5
}

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Bluesky Email Scraper Output Schema

Every dataset item produced by the Bluesky Email Scraper contains all 14 fields below.

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 or display name)
fullName	Display name parsed from a profile-style title; empty for post captions
username	URL-safe handle when Bluesky exposes one; otherwise null
profileUrl	Canonical account URL when a handle is known; otherwise empty
url	Direct platform link when exposed, else the profile URL
description	Bio or post snippet, cleaned of labels and engagement counters
email	Lower-cased email address
emailDomain	The matched domain (e.g. @gmail.com)
possiblyTruncated	true when Google's snippet ellipsis touched the email — verify before sending
foundAt	ISO 8601 UTC timestamp

JSON output example

{
  "network": "Bluesky",
  "keyword": "indie game developer",
  "query": "site:bsky.app indie game developer \"@gmail.com\" \"Berlin\"",
  "title": "Maya Okonkwo (@maya.dev.bsky.social) — Bluesky",
  "accountName": "maya.dev.bsky.social",
  "fullName": "Maya Okonkwo",
  "username": "maya.dev.bsky.social",
  "profileUrl": "https://bsky.app/profile/maya.dev.bsky.social",
  "url": "https://bsky.app/profile/maya.dev.bsky.social",
  "description": "Indie game dev in Berlin. Pixel art, Godot, devlogs. Press kits and collabs: maya.okonkwo.dev@gmail.com",
  "email": "maya.okonkwo.dev@gmail.com",
  "emailDomain": "@gmail.com",
  "possiblyTruncated": false,
  "foundAt": "2026-08-31T09:42:17Z"
}

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How to Use the Bluesky Email Scraper

Step 1 — open the Actor. Launch the Bluesky Email Scraper on the Apify platform.

Step 2 — enter keywords. Be specific. Godot developer and climate scientist beat tech every time on Bluesky.

Step 3 — pick your email domains. Start with @gmail.com. Add @proton.me, @outlook.com or @hey.com if your audience skews privacy-minded, as much of Bluesky does.

Step 4 — set maxEmails and run. Leave expandQueries on so query expansion works around Google's per-query result cap.

Step 5 — export. Download the Bluesky Email Scraper dataset as JSON, CSV, XLSX or feed it straight into your CRM through the Apify API.

You can also schedule a weekly run so new bios entering Google's index are picked up automatically.

If you want the same workflow on another network, the Mastodon Email Scraper is the closest sibling — Mastodon and Bluesky share a large slice of the same developer and journalist crowd.

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Use Cases for the Bluesky Email Scraper

Use case	How the Bluesky Email Scraper helps
Developer tool marketing	Find engineers and maintainers who publish a contact address in their bio
Technical recruiting	Build sourcing lists of developers by stack keyword and location
Creator partnerships	Reach illustrators, writers and podcasters directly instead of via DM requests
Journalist and PR outreach	Assemble contact lists of reporters covering a specific beat
Newsletter growth	Identify writers open to cross-promotion or guest pieces
SaaS lead generation	Collect founder emails filtered by niche keyword
Community building	Contact organisers and hosts running Bluesky-native communities
Market research	Study how a niche describes itself, using the description snippets
CRM enrichment	Match handles and profile URLs to records you already own
Academic outreach	Reach scientists and researchers who moved to Bluesky from X

Bluesky's audience is unusually technical and unusually open about contact details, which is why keyword-driven contact discovery works well here.

In every one of these scenarios the Bluesky Email Scraper does the tedious part — reading thousands of search results — and leaves the judgement to you.

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Why Choose This Bluesky Email Scraper

It is honest about its source. The Bluesky Email Scraper reads Google's public index. Nothing more, nothing hidden.

It is resilient. Structural parsing plus a whole-page fallback means a Google layout change degrades the Bluesky Email Scraper's output quality instead of breaking the crawler.

It is resumable. Migrations and aborts do not cost you a run; state is keyed by a hash of your input.

It is precise. Domain filtering, boundary-correct matching, obfuscation handling and the junk filter keep noise out of your dataset.

It is part of a family. The same engine powers dozens of sibling Actors, including the X Email Scraper for accounts that never left Twitter and the GitHub-adjacent developer crowd you can also reach through the Medium Email Scraper.

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Limitations

These are real constraints. Read them before you set expectations.

• Only publicly indexed emails. If an address is not visible in Google's index, the Bluesky Email Scraper cannot find it. Private data is never accessed.
• Google's ~300-result cap. A single query returns roughly 300 results at most. Query expansion exists precisely to work around this, so keep expandQueries on.
• possiblyTruncated. When Google's snippet ellipsis touches an address, the flag is set to true. Verify those rows before sending anything.
• Apify GOOGLE_SERP proxy required. The Actor cannot run without Apify proxy credentials.
• Free-plan cap. Free Apify plans are limited to 100 emails per run. Paid plans are uncapped.
• username and profileUrl availability. These are only populated when Google's result exposes a handle. Some rows will have accountName and fullName but an empty username and profileUrl. That is a Google limitation, not a bug.
• No guaranteed volume. Results vary with keywords, domains and location.

Nothing here is affiliated with, endorsed by or officially supported by Bluesky.

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Related Actors

Actor	What it collects
Bluesky Email and Phone Number Scraper	Emails and phone numbers from Bluesky
Bluesky Phone Number Scraper	Public phone numbers from Bluesky
Behance Email Scraper	Public contact emails from Behance
Bigo Live Email Scraper	Public contact emails from Bigo Live
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
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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
Vimeo Email Scraper	Public contact emails from Vimeo
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

Bluesky Email Scraper Example Run

A small agency wants to pitch a developer-tools client to indie engineers on Bluesky.

They run the Bluesky Email Scraper with keywords: ["rust developer", "devtools founder"], customDomains: ["@gmail.com", "@proton.me"] and maxEmails: 250.

Query expansion turns two keywords into a dozen phrasings, the Bluesky Email Scraper paginates through Google, and the dataset fills with handles, bios and addresses.

They sort by possiblyTruncated, drop the flagged rows, and hand a clean CSV to their outreach tool. Total setup time: under five minutes.

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Bluesky Email Scraper FAQ

Does the Bluesky Email Scraper log into Bluesky?

No. It never logs in, never uses the AT Protocol API and never opens bsky.app. All data comes from publicly indexed Google search results.

Where do the emails actually come from?

From Google result titles, site labels and snippets for pages on bsky.app — typically bios where the account owner published a contact address themselves.

Is this a Bluesky email extractor or a full profile scraper?

It is a Bluesky email extractor. It returns the 14 fields listed above and nothing else — no follower counts, no post history, no engagement metrics.

Do I need an Apify proxy?

Yes. The Bluesky Email Scraper requires the Apify GOOGLE_SERP proxy and cannot run without Apify proxy credentials.

How many emails can the Bluesky Email Scraper collect per run?

Free Apify plans are capped at 100 emails per run. Paid plans are uncapped, bounded only by your maxEmails value and what Google has indexed.

Why is username empty on some rows?

Because Google did not expose a handle in that result. Those rows still carry accountName, fullName and the bio snippet. It is a Google limitation, not a scraper defect.

What does possiblyTruncated: true mean?

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

Should I leave query expansion enabled?

Yes. Google caps a single query at roughly 300 results, and expansion is how the Bluesky Email Scraper reaches past that ceiling.

Can I filter to a specific email domain?

Yes — customDomains accepts any list, with or without the leading @. Only matching addresses are kept, and boundary-correct matching prevents false hits like @gmail.company.

Can I restrict results to one country?

Set countryCode to a two-letter code and optionally add a location phrase. Both narrow the search; neither guarantees geographic accuracy.

Does the Bluesky Email Scraper deduplicate?

Yes, globally. An email appears once per run no matter how many queries or pages surfaced it.

What happens if a Bluesky Email Scraper run is interrupted?

Progress is saved in the key-value store, keyed by a hash of your input, and flushed on PERSIST_STATE, MIGRATING and ABORTING. Restarting resumes rather than starting over.

Can I run it on a schedule?

Yes. Apify schedules work normally, and global deduplication within each run keeps the output tidy.

Is this affiliated with Bluesky?

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

How should I use the results responsibly?

Follow GDPR, CAN-SPAM and any other law that applies to you. Publicly visible does not mean consent to bulk marketing — keep outreach relevant and honour opt-outs.

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Leave a review

If the Bluesky Email Scraper saved you time, please leave a star rating and a short review on the Actor page.

Reviews are how other buyers judge whether a tool works, and they tell us which features to build next.

If something did not work, email neurodata.apify@gmail.com instead - bugs get fixed faster than they get complained about.

Support

Questions, bug reports or a custom build request? Email neurodata.apify@gmail.com and include your run ID so the Bluesky Email Scraper logs can be checked quickly.