B2B Lead Research & Data Scraping Specialist (LinkedIn / Apollo / PhantomBuster) — German Market

Please login or register as jobseeker to apply for this job.

: TYPE OF WORK

Full Time

: SALARY

$750/Month

: HOURS PER WEEK

40

: DATE UPDATED

Aug 20, 2026

JOB OVERVIEW

B2B Lead Research & Data Scraping Specialist (LinkedIn / Apollo / PhantomBuster) — German Market

**Job Type:** Full-time (40 hrs/week), 100% remote
**Salary:** $500 – $750/month (based on experience) + performance bonus per 1,000 validated leads delivered above target
**Working hours:** Flexible, but 3–4 hours overlap with European time (CET) required

---

## About the role

We are a German B2B lead generation agency. We run cold email and cold calling campaigns for our clients in Germany — and everything starts with clean, accurate lead data.

We are looking for one person who owns our entire lead sourcing operation: you receive a clearly defined ICP (Ideal Customer Profile) from us, and you deliver validated, structured lead lists — every week, reliably, at volume.

This is **not** a sales role. You will not write emails, you will not call anyone. Your job is data: find it, verify it, clean it, deliver it.

---

## What you will deliver every month

- **~10,000 validated B2B email addresses** (bounce-checked, deduplicated, ICP-matched)
- **~1,500 – 2,000 phone numbers** for our cold calling team. A working, verified company phone number is enough — a direct dial is a bonus, not a requirement. What matters is that the number is correct and tied to a named contact person or a clearly identified company.
- All leads delivered in **our fixed Google Sheets / CSV column schema** (company, domain, contact first/last name, job title, email, phone, city, source, verification status, date)
- Weekly delivery batches — not one dump at the end of the month

Targets are volume **and** quality. A list of 10,000 emails that doesn't match the ICP is worth zero to us.

---

## What you will actually do

- Build search queries and filters in LinkedIn Sales Navigator, ---------- , and Google Maps based on the ICP we define
- Run and maintain scraping workflows (PhantomBuster, Waalaxy, Apollo exports, Google Maps scrapers, Instant Data Scraper, etc.)
- Enrich missing data — find the decision maker's email and phone via company websites, Impressum pages, Xing, LinkedIn, and enrichment tools
- Verify every email through our verification tool (MillionVerifier / NeverBounce) — we only accept "valid", never "catch-all" or "risky" without flagging it
- Deduplicate against our master suppression list before every delivery
- Spot-check ICP fit manually: does this company actually match what we asked for?
- Report weekly: how many leads, from which source, verification rate, blockers

---

## Requirements

- **Proven experience** scraping and enriching B2B leads at volume — you have done thousands of leads per month before, not 200
- Hands-on with at least three of: LinkedIn Sales Navigator, ---------- , PhantomBuster, Waalaxy, Surfe, Clay, Instant Data Scraper, Google Maps scrapers
- Strong Google Sheets / Excel skills (filters, VLOOKUP/XLOOKUP, deduplication, text functions, basic data cleaning)
- Understanding of email verification and why bounce rates matter
- Extremely detail-oriented — you notice when a column is shifted, when names are in the wrong case, when a domain is a Gmail address
- Reliable internet connection and a computer that can run multiple browser tabs and tools
- Good written English for reporting and communication

**German is NOT required.** But you must be comfortable working on German-language websites (use a translator — you mainly need to find Impressum, Kontakt, and Team pages).

## Nice to have

- Experience with the German or wider European market
- Experience with LinkedIn account management / avoiding restrictions and bans
- Familiarity with ---------- , n8n, or Zapier to automate parts of the workflow
- Basic understanding of GDPR-compliant B2B data handling

---

## What we provide

- **All tools and paid accounts** — LinkedIn Sales Navigator, Apollo, PhantomBuster, verification credits, proxies. You never pay for software.
- A clearly defined ICP for every campaign, with examples of good and bad fits
- Our exact column schema and delivery process
- Direct communication with the founder — no bureaucracy, fast decisions

---

## How we hire

1. **Application** (see below)
2. **Short interview** (video call, ~20 minutes)
3. **Paid test task:** source 100 leads for a real ICP we give you. We pay for this regardless of outcome.
4. **Offer**

---

## How to apply

Please send us:

1. Start your message with the word **"SCRAPER-2026"** so we know you read the full posting. Applications without this will be ignored.
2. Which of the tools listed above you have personally used, and for how long
3. The **largest lead list you have ever built** — how many leads, in what timeframe, for which market, and how you sourced them
4. A short answer: *You need 500 direct phone numbers of managing directors of small German companies. Apollo only returns the company main line. What do you do?*
5. Your monthly salary expectation in USD

We reply to every application that follows these steps.

SKILL REQUIREMENT

Email Marketing LinkedIn Marketing Data scraping

SHARE THIS POST

Job Post	Reporter	Rank	Reason	Date

BENCHMARKS

Loading Time: Base Classes	0.0007
Controller Execution Time ( Jobseekers / Job )	0.0118
Total Execution Time	0.0131

GET DATA

No GET data exists

MEMORY USAGE

1,509,872 bytes

POST DATA

No POST data exists

URI STRING

jobseekers/job/B2B-Lead-Research-Data-Scraping-Specialist-LinkedIn-Apollo-PhantomBuster-German-Market-1713365

CLASS/METHOD

jobseekers/job

DATABASE: onlinejobs (Jobseekers:$db) QUERIES: 13 (0.0069 seconds) (Hide)

0.0003	`SELECT * FROM exrates WHERE rate_name = 'USD-PHP'`
0.0004	SELECT * FROM `employer_jobs` WHERE `job_id` = 1713365 LIMIT 1
0.0008	SELECT * FROM `employers` WHERE `employer_id` = 901619 LIMIT 1
0.0008	SELECT COUNT(*) AS `numrows` FROM `t_thread` `t` LEFT JOIN `t_thread_misc` `misc` ON `t`.`id` = `misc`.`thread_id` WHERE `t`.`job_id` = 1713365 AND `misc`.`id` IS NULL
0.0005	SELECT e.business_name, e.logo, e.website, e.rebill_date, e.date_added member_date, hits, DATEDIFF('2026-08-26',ej.date_added) duration_days, DATEDIFF('2026-08-26',e.rebill_date) duration_rebill, ej.*, e.deactivate FROM employers e, employer_jobs ej WHERE e.employer_id = ej.employer_id AND ((e.user_level >= '500' AND ej.date_added <= e.rebill_date) OR e.employer_id = '' OR (ej.date_approved <> '2000-01-01' and DATEDIFF('2026-08-26',ej.date_added) <= 14 )) AND e.deactivate != 1 AND ej.deleted = 0 AND job_id = '1713365'
0.0003	SELECT * FROM `employer_jobs_skills` `ejs` LEFT JOIN `skills_categories` `sc` ON `ejs`.`skill_id` = `sc`.`id` WHERE `job_id` = 1713365
0.0008	`UPDATE employer_jobs SET hit_counts = '*Aug-20-2026=662Aug-21-2026=190Aug-22-2026=40*Aug-26-2026=1' WHERE job_id= '1713365'`
0.0007	`UPDATE employer_jobs SET monthly_hits = '***Aug-2026=893' WHERE job_id= '1713365'`
0.0008	`SELECT date_sent FROM jobseeker_sent_emails WHERE jobseeker_id = '' AND job_id = '1713365' AND status LIKE 'sent%' ORDER BY id DESC`
0.0003	SELECT * FROM `employer_jobs_skills` `ejs` LEFT JOIN `skills_categories` `sc` ON `ejs`.`skill_id` = `sc`.`id` WHERE `job_id` = 1713365
0.0008	SELECT COUNT(*) AS `numrows` FROM `employer_jobs` WHERE `employer_id` = '901619' AND `date_added` >= '2022-06-08'
0.0003	`select * from teasers`
0.0002	`SELECT * FROM skill_categories WHERE skill_cat_id=''`

HTTP HEADERS (Show)

SESSION DATA (Show)

__ci_last_regenerate	1787751712
last_page	https://v1.stage.onlinejobs.ph/jobseekers/job/B2B-Lead-Research-Data-Scraping-Specialist-LinkedIn-Apollo-PhantomBuster-German-Market-1713365
csrf-token	892af4b1d5b6daa6f56edfc0e56cdc4f

CONFIG VARIABLES (Show)

base_url	https://v1.stage.onlinejobs.ph
log_threshold	2
enable_profiler
index_page
uri_protocol	PATH_INFO
url_suffix
language	english
charset	UTF-8
enable_hooks	1
subclass_prefix	MY_
composer_autoload	vendor/autoload.php
permitted_uri_chars	a-z 0-9~%.:_\=\-\+\@?\&
enable_query_strings
controller_trigger	c
function_trigger	m
directory_trigger	d
allow_get_array	1
log_path
log_file_extension
log_file_permissions	420
log_date_format	Y-m-d H:i:s
error_views_path
cache_path
cache_query_string
encryption_key	OdBUArjiWg9I7u7bvAwQ7Fu35VB1kzga
sess_driver	files
sess_cookie_name	ci_session
sess_expiration	2678400
sess_save_path
sess_match_ip
sess_time_to_update	300
sess_regenerate_destroy
cookie_prefix
cookie_domain
cookie_path	/
cookie_secure
cookie_httponly
standardize_newlines
global_xss_filtering	1
csrf_protection
csrf_token_name	csrf_test_name
csrf_cookie_name	csrf_cookie_name
csrf_expire	7200
csrf_regenerate	1
csrf_exclude_uris	Array ( )
compress_output
time_reference	local
rewrite_short_tags
proxy_ips
ojadmin	JpjZkQN5A8l@^L
salt	+UFjSAT49tPZLtmU2CIG2FYN7pRhgsWyLHgSyQa6k3I=
queue_enabled
twilio	Array ( [sid] => AC00c0594045c6eef9407e8fff01f3d467 [token] => f0bfc0b73444a077894a43f5f75e6d41 [length] => 6 [from] => +639221200200 [code_expiry_seconds] => 14400 )
maintenance	Array ( [admin] => Array ( [verification] => ) [announcement_bar] => Array ( [show_slow_issue_message] => ) )
trustpilot	Array ( [to_email] => onlinejobs.ph+3d844ebf71@invite.trustpilot.com )
services	Array ( [google_tag_manager] => Array ( [id] => GTM-T5CQMS6P ) [chatgpt] => Array ( [secret] => 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 ) [claude] => Array ( [secret] => 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 ) )
v2_url	https://v2.onlinejobs.ph
replacemyself_secret_key	Kk1WpgTMkc4wBQOqC5rqCssdLhACKrsJeTtO1ywUkT4=
app	Array ( [app] => Array ( [command] => Array ( [map] => Array ( [OnlineJobs\Mailer\Command\SendEmailCommand] => OnlineJobs\Mailer\Handler\SendEmailHandler [OnlineJobs\Mail\Command\SendEmailCommand] => OnlineJobs\Mail\Handler\SendEmailHandler [OnlineJobs\Mail\Command\QueueEmailPendingCommand] => OnlineJobs\Mail\Handler\QueueEmailPendingHandler [OnlineJobs\Mail\Command\QueueJobEmailPendingCommand] => OnlineJobs\Mail\Handler\QueueJobEmailPendingHandler [OnlineJobs\Mail\Command\QueueUnapprovedEmailCommand] => OnlineJobs\Mail\Handler\QueueUnapprovedEmailHandler [OnlineJobs\Mail\Command\ProcessEmailQueueCommand] => OnlineJobs\Mail\Handler\ProcessEmailQueueHandler [OnlineJobs\Mail\Command\PutJobseekerEmailOnHoldCommand] => OnlineJobs\Mail\Handler\PutJobseekerEmailOnHoldHandler [OnlineJobs\Purchase\Command\RealEstateVaCourseCommand] => OnlineJobs\Purchase\Handler\RealEstateVaCourseHandler [OnlineJobs\Test\Command\HelloCommand] => OnlineJobs\Test\Handler\HelloHandler ) [middleware] => Array ( ) ) [providers] => Array ( [0] => OnlineJobs\Bus\BusServiceProvider [1] => OnlineJobs\Database\DbServiceProvider [2] => OnlineJobs\Mailer\MailerServiceProvider [3] => OnlineJobs\Support\SupportServiceProvider [4] => OnlineJobs\Employer\ServiceProvider [5] => OnlineJobs\Jobseeker\ServiceProvider [6] => OnlineJobs\Mail\ServiceProvider [7] => OnlineJobs\Postal\ServiceProvider [8] => OnlineJobs\Queue\ServiceProvider [9] => OnlineJobs\Courier\ServiceProvider [10] => OnlineJobs\Job\ServiceProvider [11] => OnlineJobs\Purchase\ServiceProvider ) ) )
meta	Array ( [facebook] => Array ( [input] => 1 [connect] => 2 [timezone] => 3 [url] => 30 [id] => 31 [photo] => 32 [name] => 33 [email] => 34 [review] => 35 ) [trust] => Array ( [government_id] => 4 [utility_bill] => 5 [selfie_photo] => 6 [profile_picture] => 7 [phone_number] => 8 [facebook] => 9 ) [verify] => Array ( [profile_picture] => 10 [government_id] => 11 [selfie_photo] => 12 [utility_bill] => 13 [address] => 14 [name] => 15 [reviewed] => 16 [government_group] => 28 [address_group] => 29 [mobile] => 38 ) [address] => Array ( [complete] => 17 [room_unit_no] => 20 [house_no] => 21 [street] => 22 [subdivision] => 23 [barangay] => 24 [city] => 25 [province] => 26 [postcode] => 27 ) [reviewed] => Array ( [similar_names] => 1 ) [name] => 18 [phone] => 19 [sms_verification_code] => 36 [resend_verification_code] => 37 [address_read] => 39 [first_name] => 100 [middle_name] => 101 [last_name] => 102 [edit] => Array ( [government_id_group] => 40 [address_group] => 41 [mobile_group] => 42 ) [salary_re_entry] => 103 [id_proof_recalibrate] => 104 [email] => 44 [mobile_verification_type] => 45 )
honeypot	Array ( [name_field] => my_name [enabled] => 1 )

HTTP_ACCEPT	/
HTTP_USER_AGENT	Mozilla/5.0 AppleWebKit/537.36 (KHTML, like Gecko; compatible; ClaudeBot/1.0; +claudebot@anthropic.com)
HTTP_CONNECTION	Upgrade
SERVER_PORT	80
SERVER_NAME	v1.stage.onlinejobs.ph
REMOTE_ADDR	127.0.0.1
SERVER_SOFTWARE	Apache/2.4.58 (Ubuntu)
HTTP_ACCEPT_LANGUAGE
SCRIPT_NAME	/index.php
REQUEST_METHOD	GET
HTTP_HOST
REMOTE_HOST
CONTENT_TYPE
SERVER_PROTOCOL	HTTP/1.1
QUERY_STRING
HTTP_ACCEPT_ENCODING	gzip, br, zstd, deflate
HTTP_X_FORWARDED_FOR	216.73.216.217
HTTP_DNT

B2B Lead Research & Data Scraping Specialist (LinkedIn / Apollo / PhantomBuster) — German Market

Please login or register as jobseeker to apply for this job.

TYPE OF WORK

SALARY

HOURS PER WEEK

DATE UPDATED

Why is this blurred?