Data scraper

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TYPE OF WORK

Full Time

SALARY

300$/month

HOURS PER WEEK

63

DATE UPDATED

Jan 14, 2026

JOB OVERVIEW

If you use AI to write your application, you won't be considered. 90% of applicants already do this and we can tell.

Looking for someone who can find and organize leads from Sales Navigator, online directories, and various sources. You'll be given specific criteria (location, industry, revenue size, etc.) and you'll build clean, accurate lead lists.
What you'll do:

Scrape leads from LinkedIn Sales Navigator based on our target criteria
Pull contact info from directories and company websites
Organize data in spreadsheets with correct formatting
Verify emails and phone numbers when possible
Follow specific instructions for each scraping project

Requirements:

Experience with Sales Navigator and lead scraping tools
Detail-oriented (we need accurate data, not rushed work)
Can follow instructions precisely
Reliable internet connection
Available 9 AM - 5 PM EST, Monday - Sunday

Pay: $300/month
Tools we provide: Sales Navigator access, any scraping tools needed

reply with your age and favorite fruit. be honest if you have experience or not

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  BENCHMARKS  
Loading Time: Base Classes  0.0013
Controller Execution Time ( Jobseekers / Job )  0.0199
Total Execution Time  0.0219
  GET DATA  
No GET data exists
  MEMORY USAGE  
1,496,648 bytes
  POST DATA  
No POST data exists
  URI STRING  
jobseekers/job/Data-scraper-1521575
  CLASS/METHOD  
jobseekers/job
  DATABASE:  onlinejobs (Jobseekers:$db)   QUERIES: 13 (0.0139 seconds)  (Hide)
0.0004   SELECT *
                                
FROM exrates
                                WHERE rate_name 
= 'USD-PHP' 
0.0003   SELECT *
FROM `employer_jobs`
WHERE `job_id` = 1521575
 LIMIT 1 
0.0008   SELECT *
FROM `employers`
WHERE `employer_id` = 765261
 LIMIT 1 
0.0025   SELECT COUNT(*) AS `numrows`
FROM `t_thread` `t`
LEFT JOIN `t_thread_misc` `misc` ON `t`.`id` = `misc`.`thread_id`
WHERE `t`.`job_id` = 1521575
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('2026-09-25',ej.date_added) duration_days, DATEDIFF('2026-09-25',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('2026-09-25',ej.date_added) <= 14 ))
                                   AND 
e.deactivate != 1 AND ej.deleted = 0 AND job_id = '1521575' 
0.0007   SELECT *
FROM `employer_jobs_skills` `ejs`
LEFT JOIN `skills_categories` `sc` ON `ejs`.`skill_id` = `sc`.`id`
WHERE `job_id` = 1521575 
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0.0006   UPDATE employer_jobs SET monthly_hits = '***Nov-2025=457***Dec-2025=257***Jan-2026=777***Feb-2026=197***Mar-2026=143***Apr-2026=114***May-2026=76***Jun-2026=73***Jul-2026=67***Aug-2026=34***Sep-2026=24' WHERE job_id= '1521575'  
0.0013   SELECT date_sent FROM jobseeker_sent_emails WHERE jobseeker_id = '' AND job_id = '1521575' 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` = 1521575 
0.0049   SELECT COUNT(*) AS `numrows`
FROM `employer_jobs`
WHERE `employer_id` = '765261'
AND `date_added` >= '2022-06-08' 
0.0004   select * from teasers 
0.0002   SELECT * FROM skill_categories WHERE skill_cat_id='' 
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