Data Scrubber/ Web Researcher/ Data Mining

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

TYPE OF WORK

Any

SALARY

$3.5 per hour

HOURS PER WEEK

40

DATE UPDATED

Nov 20, 2025

JOB OVERVIEW

PLEASE READ AND UNDERSTAND THE REQUIREMENTS!!!

WE WILL NOT ACCOMMODATE THOSE WHO CANNOT FOLLOW SIMPLE INSTRUCTIONS.

Daily task:
- You will be given a spreadsheet with a list of companies to research.
- Update the needed information with accuracy by applying rigorous data scrubbing, investigative research, and business profiling.

**Qualifications:
- College Level
- Have at least solid 6 months of data research work experience (B2B, data entry, data scrubber, market researcher).
- Must have a very good English command (can speak and write good English).
- Experience in using Zoom Info, Snovio, LinkedIn, D&B, Google Spreadsheets, business directories, & Chrome Extensions is a major plus.

Technical Requirements
- Laptop or PC with at least Intel Core I5, 12Gb RAM with SSD.
- Back up computer/ laptop to use.
- Internet Speed at least 30mpbs.
- Must have a back up internet of either pocket wifi/mobile data with high speed internet incase of outage.
- Must have complete work from home set up.

Attach the following on your email:
1. Computer specifications
2. Internet speed using ---------- / and provide the link of the result.
3. Do you have a backup internet in case of a net outage? (if yes, provide backup details).
4. Are you currently employed or have any side hustles? If yes, do you plan to leave your current job in case you'll be hired?
(We are only hiring full time employees and we do not allow employees from having two jobs at the same time).
5. Attach the sample of your work from your previous related experience as Data scrubber/ Data Researcher or Skip tracer (If available).

Send your resume and cover letter to:
Jeremy at ---------- or
Jessica at ----------
- Title of your email must be "Data Researcher Application"

Only qualified applicants with complete requirements and relevant experience will be entertained.
DO NOT APPLY IF YOU HAVE OTHER SIDE HUSTLES. THIS JOB REQUIRES YOUR 100% FULL ATTENTION!

VIEW OTHER JOB POSTS FROM:
SHARE THIS POST
facebook linkedin
  BENCHMARKS  
Loading Time: Base Classes  0.0008
Controller Execution Time ( Jobseekers / Job )  0.0140
Total Execution Time  0.0154
  GET DATA  
No GET data exists
  MEMORY USAGE  
1,496,064 bytes
  POST DATA  
No POST data exists
  URI STRING  
jobseekers/job/Data-Scrubber-Web-Researcher-Data-Mining-1517842
  CLASS/METHOD  
jobseekers/job
  DATABASE:  onlinejobs (Jobseekers:$db)   QUERIES: 13 (0.0086 seconds)  (Hide)
0.0003   SELECT *
                                
FROM exrates
                                WHERE rate_name 
'USD-PHP' 
0.0003   SELECT *
FROM `employer_jobs`
WHERE `job_id` = 1517842
 LIMIT 1 
0.0010   SELECT *
FROM `employers`
WHERE `employer_id` = 408105
 LIMIT 1 
0.0011   SELECT COUNT(*) AS `numrows`
FROM `t_thread` `t`
LEFT JOIN `t_thread_misc` `miscON `t`.`id` = `misc`.`thread_id`
WHERE `t`.`job_id` = 1517842
AND `misc`.`idIS NULL 
0.0005   SELECT e.business_namee.logoe.websitee.rebill_datee.date_added member_datehitsDATEDIFF('2026-04-15',ej.date_added) duration_daysDATEDIFF('2026-04-15',e.rebill_date) duration_rebillej.*, e.deactivate FROM employers eemployer_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('2026-04-15',ej.date_added) <= 14 ))
                                   AND 
e.deactivate != AND ej.deleted AND job_id '1517842' 
0.0007   SELECT *
FROM `employer_jobs_skills` `ejs`
LEFT JOIN `skills_categories` `scON `ejs`.`skill_id` = `sc`.`id`
WHERE `job_id` = 1517842 
0.0008   UPDATE employer_jobs SET hit_counts '***Nov-20-2025=9***Nov-21-2025=2***Nov-22-2025=94***Nov-23-2025=17***Nov-24-2025=48***Nov-25-2025=33***Nov-26-2025=25***Nov-27-2025=16***Nov-28-2025=15***Nov-29-2025=10***Nov-30-2025=6***Dec-02-2025=12***Dec-03-2025=20***Dec-04-2025=4***Dec-05-2025=5***Dec-07-2025=6***Dec-08-2025=4***Dec-09-2025=9***Dec-10-2025=6***Dec-11-2025=3***Dec-13-2025=6***Dec-14-2025=4***Dec-15-2025=4***Dec-16-2025=3***Dec-23-2025=1***Dec-25-2025=2***Dec-29-2025=7***Dec-30-2025=4***Jan-03-2026=1***Jan-05-2026=3***Jan-08-2026=9***Jan-10-2026=1***Jan-11-2026=1***Jan-13-2026=1***Jan-15-2026=11***Jan-16-2026=8***Jan-20-2026=2***Jan-21-2026=9***Jan-23-2026=2***Jan-24-2026=3***Jan-25-2026=3***Jan-26-2026=1***Jan-27-2026=7***Jan-28-2026=2***Feb-02-2026=7***Feb-06-2026=8***Feb-07-2026=6***Feb-08-2026=2***Feb-09-2026=14***Feb-10-2026=10***Feb-11-2026=1***Feb-12-2026=11***Feb-13-2026=5***Feb-14-2026=6***Feb-15-2026=2***Feb-16-2026=9***Feb-17-2026=13***Feb-18-2026=24***Feb-19-2026=11***Feb-20-2026=7***Feb-21-2026=4***Feb-22-2026=3***Feb-23-2026=24***Feb-24-2026=5***Feb-25-2026=4***Feb-26-2026=8***Feb-27-2026=5***Feb-28-2026=10***Mar-01-2026=13***Mar-02-2026=13***Mar-03-2026=7***Mar-04-2026=1***Mar-05-2026=7***Mar-06-2026=8***Mar-07-2026=4***Mar-08-2026=3***Mar-09-2026=6***Mar-10-2026=7***Mar-11-2026=4***Mar-12-2026=6***Mar-13-2026=1***Mar-14-2026=6***Mar-16-2026=3***Mar-17-2026=3***Mar-18-2026=6***Mar-19-2026=7***Mar-20-2026=3***Mar-21-2026=2***Mar-23-2026=5***Mar-24-2026=11***Mar-25-2026=3***Mar-26-2026=7***Mar-27-2026=3***Mar-28-2026=3***Mar-29-2026=2***Mar-30-2026=2***Mar-31-2026=3***Apr-01-2026=3***Apr-02-2026=1***Apr-03-2026=9***Apr-05-2026=1***Apr-06-2026=3***Apr-07-2026=3***Apr-08-2026=8***Apr-09-2026=3***Apr-10-2026=4***Apr-11-2026=3***Apr-14-2026=1***Apr-15-2026=2' WHERE job_id'1517842'  
0.0009   UPDATE employer_jobs SET monthly_hits '***Nov-2025=274***Dec-2025=100***Jan-2026=64***Feb-2026=199***Mar-2026=149***Apr-2026=41' WHERE job_id'1517842'  
0.0008   SELECT date_sent FROM jobseeker_sent_emails WHERE jobseeker_id '' AND job_id '1517842' AND status LIKE 'sent%' ORDER BY id DESC  
0.0003   SELECT *
FROM `employer_jobs_skills` `ejs`
LEFT JOIN `skills_categories` `scON `ejs`.`skill_id` = `sc`.`id`
WHERE `job_id` = 1517842 
0.0014   SELECT COUNT(*) AS `numrows`
FROM `employer_jobs`
WHERE `employer_id` = '408105'
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)
  CONFIG VARIABLES  (Show)