Database Collector

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

TYPE OF WORK

Gig

SALARY

$5/200 Clean Records

HOURS PER WEEK

10

DATE UPDATED

May 6, 2026

JOB OVERVIEW

Lead Generation VA (Google Maps Data Collection)

Description:

We are looking for a detail-oriented Virtual Assistant to build a database of local businesses using Google Maps, Yelp, etc

You will be responsible for collecting accurate business information and organizing it into a clean spreadsheet for marketing purposes.

Responsibilities:
Search for businesses by zip code using Google Maps, yelp, etc
Collect and input the following data:
Business Name
Address
Phone Number
Industry
Business Type
Ensure all data is accurate and formatted consistently
Remove duplicates and skip closed businesses
Requirements:
Experience with Google Sheets or Excel
Strong attention to detail
Ability to follow instructions exactly
Reliable and fast internet
Nice to Have:
Experience with lead generation or data scraping

Output Expectation:
Clean, organized spreadsheet with no duplicates
Compensation:
$5 Paid per 200 completed clean records

Please include Datacruncher in the top of your reply.

SKILL REQUIREMENT
VIEW OTHER JOB POSTS FROM:
SHARE THIS POST
facebook linkedin
  BENCHMARKS  
Loading Time: Base Classes  0.0009
Controller Execution Time ( Jobseekers / Job )  0.0201
Total Execution Time  0.0215
  GET DATA  
No GET data exists
  MEMORY USAGE  
1,489,440 bytes
  POST DATA  
No POST data exists
  URI STRING  
jobseekers/job/Database-Collector-1640674
  CLASS/METHOD  
jobseekers/job
  DATABASE:  onlinejobs (Jobseekers:$db)   QUERIES: 13 (0.0140 seconds)  (Hide)
0.0004   SELECT *
                                
FROM exrates
                                WHERE rate_name 
= 'USD-PHP' 
0.0004   SELECT *
FROM `employer_jobs`
WHERE `job_id` = 1640674
 LIMIT 1 
0.0004   SELECT *
FROM `employers`
WHERE `employer_id` = 794405
 LIMIT 1 
0.0015   SELECT COUNT(*) AS `numrows`
FROM `t_thread` `t`
LEFT JOIN `t_thread_misc` `misc` ON `t`.`id` = `misc`.`thread_id`
WHERE `t`.`job_id` = 1640674
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 = '1640674' 
0.0007   SELECT *
FROM `employer_jobs_skills` `ejs`
LEFT JOIN `skills_categories` `sc` ON `ejs`.`skill_id` = `sc`.`id`
WHERE `job_id` = 1640674 
0.0008   UPDATE employer_jobs SET hit_counts = '***May-06-2026=245***May-07-2026=106***May-08-2026=61***May-09-2026=12***May-10-2026=25***May-11-2026=17***May-12-2026=22***May-13-2026=16***May-14-2026=11***May-15-2026=16***May-16-2026=9***May-17-2026=6***May-18-2026=2***May-19-2026=2***May-20-2026=5***May-21-2026=5***May-22-2026=1***May-23-2026=8***May-24-2026=8***May-25-2026=4***May-26-2026=7***May-27-2026=1***May-28-2026=7***May-30-2026=1***May-31-2026=4***Jun-02-2026=21***Jun-03-2026=1***Jun-04-2026=7***Jun-05-2026=3***Jun-06-2026=1***Jun-07-2026=3***Jun-08-2026=2***Jun-09-2026=2***Jun-10-2026=4***Jun-11-2026=2***Jun-12-2026=4***Jun-13-2026=1***Jun-14-2026=2***Jun-15-2026=4***Jun-16-2026=2***Jun-17-2026=1***Jun-18-2026=2***Jun-19-2026=1***Jun-20-2026=1***Jun-22-2026=3***Jun-23-2026=7***Jun-24-2026=3***Jun-25-2026=1***Jun-26-2026=2***Jun-27-2026=2***Jun-28-2026=1***Jun-29-2026=2***Jun-30-2026=1***Jul-01-2026=9***Jul-03-2026=2***Jul-04-2026=1***Jul-05-2026=4***Jul-06-2026=2***Jul-07-2026=1***Jul-08-2026=1***Jul-09-2026=3***Jul-10-2026=1***Jul-11-2026=1***Jul-12-2026=2***Jul-13-2026=1***Jul-14-2026=4***Jul-15-2026=3***Jul-16-2026=1***Jul-19-2026=6***Jul-21-2026=2***Jul-22-2026=1***Jul-24-2026=5***Jul-26-2026=2***Jul-27-2026=3***Jul-28-2026=4***Jul-29-2026=1***Jul-31-2026=5***Aug-01-2026=3***Aug-02-2026=2***Aug-03-2026=8***Aug-04-2026=2***Aug-06-2026=5***Aug-07-2026=4***Aug-08-2026=2***Aug-09-2026=1***Aug-11-2026=1***Aug-12-2026=1***Aug-13-2026=2***Aug-15-2026=3***Aug-16-2026=1***Aug-17-2026=2***Aug-18-2026=2***Aug-20-2026=1***Aug-22-2026=2***Aug-24-2026=4***Aug-25-2026=3***Aug-26-2026=10***Aug-27-2026=1***Aug-29-2026=2***Aug-31-2026=1***Sep-02-2026=1***Sep-07-2026=1***Sep-08-2026=1***Sep-09-2026=2***Sep-10-2026=4***Sep-11-2026=2***Sep-15-2026=1***Sep-16-2026=5***Sep-17-2026=1***Sep-18-2026=2***Sep-19-2026=1***Sep-23-2026=1***Sep-25-2026=2' WHERE job_id= '1640674'  
0.0007   UPDATE employer_jobs SET monthly_hits = '***May-2026=601***Jun-2026=86***Jul-2026=65***Aug-2026=63***Sep-2026=24' WHERE job_id= '1640674'  
0.0017   SELECT date_sent FROM jobseeker_sent_emails WHERE jobseeker_id = '' AND job_id = '1640674' AND status LIKE 'sent%' ORDER BY id DESC  
0.0004   SELECT *
FROM `employer_jobs_skills` `ejs`
LEFT JOIN `skills_categories` `sc` ON `ejs`.`skill_id` = `sc`.`id`
WHERE `job_id` = 1640674 
0.0059   SELECT COUNT(*) AS `numrows`
FROM `employer_jobs`
WHERE `employer_id` = '794405'
AND `date_added` >= '2022-06-08' 
0.0004   select * from teasers 
0.0004   SELECT * FROM skill_categories WHERE skill_cat_id='' 
  HTTP HEADERS  (Show)
  SESSION DATA  (Show)
  CONFIG VARIABLES  (Show)