Data Scraping

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TYPE OF WORK

Full Time

SALARY

Php 20,000-40,000/mo (depending on skills)

HOURS PER WEEK

40

DATE POSTED

Jan 15, 2025

JOB OVERVIEW

We're looking for a data scraper to help identify and collect decision-maker contact information (specifically CEO/founder/decision-maker names and direct emails) from various online platforms.

You will need:
- Proven experience with data scraping tools (e.g., Scrapebox, Browse.ai, Python/Selenium, any others at all)
- Ability to follow a Standard Operating Procedure to generate contact data / information
- Strong attention to detail and data accuracy

Optional test for application --- First create and send me a Google Sheet via DM (view access for anyone) with these 5 columns:
- Decision maker name
- Decision maker email
- Company name
- Data source URL
- (Special Columns) (the maximum information you can get)

Pick ONE of the following tasks to complete in 30 minutes:
A. Indeed Jobs Test. Find real founder/CEO contact info for companies posting any roles in the US on Indeed. Get as many verified contacts as possible in 30 mins. The "Special Column" will be the name of the job posted (e.g. "Software Engineer"), and additional columns if you’re able to scrape this (e.g. salary, location).
B. Real Estate Test. Scrape actual broker/owner contact info (not generic office emails) from recent Zillow listings in any major US metro area. The "Special Column" will be the location of the listing (e.g. 964 Riverview Road, Rexford, NY 12148), and additional columns can be provided for other details (e.g. price, description).
C. Local Business Test. Find direct owner contact info for any US Google Maps listings (e.g. dentists in NYC). “Special Column” will be the rating of their location (and, of course, any other info you can scrape for each listing).

The point of this test is to show that you can scrape data - that’s it. Feel free to pick the test that seems easiest to you, and use any tools desired. Each row should have data for at least 5 columns.

To apply, please send:
1. Your relevant experience with data scraping
2. (optional) Test project (Google Sheet link with open viewing access). If you require payment for the test task, let me know beforehand.
3. Expected rate. A salary range is given for varying skill levels, so the upper limit is not the true maximum if you have incredible data scraping skills.

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