Parsing Google Maps
23 USD It is required to scrape a list of businesses from Google Maps.
1. 50-80 locations (polygons). I will prepare it in the form of a list or in any other format.
2. Required fields: name, phone, email, Web. The main field - email, will be used for mailing.
Location: Spain, Zaragoza.
Approximate number of 2-3 thousand businesses.
Client's review of cooperation with Olena Ambris
Parsing Google MapsThank you, Elena.
Completed the order by 200%. Maximized the requirements.
Deep understanding of the work and excellent communication. Detailed, step-by-step report on the work.
Satisfied with the result.
We will continue to work together as the scope of work is not limited to parsing.
Thank you!!
Freelancer's review of cooperation with Vladislav Nikolayenko
Parsing Google MapsExcellent client. My sincere recommendations! The task was set clearly and competently, the file with the source data was prepared in advance, he answered questions quickly. On contentious issues, decisions were made without delay. It was very comfortable to work.
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1 day36 USD
1 day36 USD
Good day. I have a ready parser, I would like to familiarize myself with the list of locations, then we can discuss the price.
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Winning proposal1 day23 USD
Winning proposal1 day23 USD
Good evening, Vladislav!
I am ready to compile a database for Zaragoza.
Regarding the emails. Since there are no emails in Google Maps, I will extract them directly from the official websites of the companies. You will receive a structured table in Excel/Google Sheets, ready for import into your mailing service.
Please let me know which niche we are looking for companies in (or do you need all of them across the board)?
I will do a free test (20-50 contacts) based on your criteria, so you can check the quality.
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1 day29 USD
1 day29 USD
I propose in this form:
https://docs.google.com/spreadsheets/d/1fWOx4gAOJ_J0PKiZEVR13RXgbTa074il8OEYrCCnZqU/edit?gid=0#gid=0
Please reply.
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7 days45 USD
7 days45 USD
Hello, I worked on parsing Google Maps for a client from Spain - I collected over 5000 contacts of restaurants and hotels from 120 cities and obtained 95% email addresses.
Do you plan to filter businesses by categories or do you need all businesses within the polygons of Zaragoza?
I suggest we get in touch, I will consult you for free on the technical side and we will create a development plan + I will tell you about my team!
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3 days34 USD
297 3 days34 USD
Good day!
The task is clear, I have experience in data collection and parsing.
I plan to work in 2 stages:
Data collection from Google Maps (name, phone, website)
If the company has a website - additionally go through it and extract email
I will implement: - collection by specified locations
- removal of duplicates
- structured file (Excel/Google Sheets)
Please clarify:
… Is email mandatory for each company or is partial completion acceptable?
Is it necessary to visit the website to search for email?
In what format is it more convenient to deliver the result?
I am ready to discuss the details and start working.
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2 days68 USD
265 2 days68 USD
Good day!
I can take on parsing Google Maps according to specified polygons with exporting businesses in a structured format by the necessary fields.
I will collect a database with names, phone numbers, emails, and websites, focusing on finding emails as the main contact field for further mailing.
I suggest discussing the details, as well as the cost and timelines in private messages.
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3 days45 USD
321 1 0 3 days45 USD
Good day.
I have reviewed the task. I understand that it is necessary to collect company data from Google Maps for specified locations (name, phone, email, website).
I have basic experience in parsing and data collection, and I can complete the task considering the structure and neat presentation of the result.
An important point — email is not always directly available on Google Maps, so some data may need to be additionally searched on the companies' websites.
Regarding the cost: 2000 UAH.
… Deadlines: depend on the method of collection and completeness of data.
I can also show an example of the result format.
Thank you.
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2 days45 USD
256 2 days45 USD
Hello! I have experience in parsing Google Maps (2-3 thousand companies). I will collect the name, phone, email, website. The main focus is on email — I extract it from company websites or through data enrichment. I work in areas in Zaragoza (Spain). Output format: CSV/Excel. Deadline for providing the list of locations — 3-5 days. We will discuss the details in private!
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1 day45 USD
2163 14 0 1 1 day45 USD
Hello! I have experience in developing custom scripts for parsing B2B data and automating contact collection, so I will implement for you the collection of a database of companies in Zaragoza with an emphasis on finding direct email addresses. Since Google Maps rarely contains emails in plain form, I will set up a two-level system: the script collects basic data (name, phone, website), and then automatically scans the found websites for the presence of emails and links to social networks. I work as an individual freelancer (sole proprietor), guaranteeing the cleanliness of the database, absence of duplicates, and output format convenient for your mailings (CSV/Excel/Google Sheets); I would be happy to discuss the list of polygons and start working in private! My works: https://3magency.co/, https://jk-solution.com.ua/, https://farfieworldwide.com/,
Behance.
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3 days34 USD
409 3 days34 USD
Good day! I have carefully read the task — I am ready to take it on.
What I will implement:
— Parsing businesses from Google Maps for 50-80 locations (Zaragoza)
— Fields: name, phone, website, email
— Output in Excel — convenient for further mailing
— 2-3 thousand businesses, without duplicates
Important point: email on Google Maps is often not publicly available — for many businesses, this field will be empty. This is a feature of Google Maps itself, not the parser. If needed, I can additionally visit the businesses' websites and search for emails there, but this will increase the execution time.
…
From my portfolio — I recently developed a Telegram bot for tracking prices on OLX: parsing live pages using httpx and BeautifulSoup4, a personal list of ads for each user, detecting price changes, error handling. Stack: aiogram 3.x, httpx, BeautifulSoup4, SQLite. GitHub
Deadline: 3 days after clarifying the details.
Cost: 1500 UAH (fixed price for all functionality as per the specifications).
If there are any questions — I am ready to discuss the details.
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3 days34 USD
927 5 0 3 days34 USD
I understand your task — we need to obtain data about businesses from Google Maps in the Zaragoza area, Spain, with an emphasis on emails for further mailing. We specialize in complex web scraping tasks, including working with Google Maps, bypassing restrictions, and collecting structured data.
We will prepare a complete list with the specified fields: name, phone, email, website. The data will be cleaned, structured (CSV/JSON), and ready for use. Important: the quality of contact collection, especially emails, significantly depends on their availability in the public domain — we will maximize coverage.
We have experience in similar projects for Europe, using high-load infrastructures and proxy rotation for stable collection. You can provide a list of locations in any convenient way — we will prepare the technical task and start the process immediately after approval.
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3 days45 USD
2192 48 2 1 3 days45 USD
Hello!
I am ready to complete your project.
I have experience in parsing B2B contacts of companies and individuals.
An example of similar work I have done before:
https://docs.google.com/spreadsheets/d/1lV5UrLyjmKmQgHMSY8G4AtNx_Rgn0dzl/edit?usp=sharing&ouid=102572697027067735953&rtpof=true&sd=true
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2 days23 USD
3411 32 0 2 days23 USD
Hello!
I am ready to perform Google Maps parsing for you, an example of the results is in the portfolio
https://freelancehunt.com/showcase/work/parsing-google-maps/1856277.html
For clarification of all details, write to me in private messages.
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1 day45 USD
5562 105 2 1 day45 USD
There is a ready parser, with addresses/polygons as input.
https://freelancehunt.com/showcase/work/parser-google-maps/1994349.html
Phones and websites can still be collected, but emails are not available on the maps.
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3 days23 USD
4987 41 4 1 3 days23 USD
Good day!
I am ready to professionally scrape data from Google Maps for 50-80 polygons in Zaragoza. I will extract the name, phone number, email (key field), and website for 2-3 thousand businesses. I have experience with scraping, APIs, and proxies.
Please write to me in private messages to discuss the details.
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2 days45 USD
1490 28 0 2 days45 USD
There is a parser, I can make one as an example, the email is also checked on the website. Contact me if you need anything else.
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7 days45 USD
2737 76 1 7 days45 USD
I can collect such a database from Google Maps. I have parsed it multiple times, reviews in the profile. The deadline I indicate is the maximum. The price is discussed after clarifying the details.
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3 days45 USD
15600 214 1 3 days45 USD
Good day!
The Google Maps parser is already ready.
A separate program is used to collect emails - which searches for emails from websites. There are no emails on Google Maps.
I would be happy to discuss cooperation.
The price for 2-3 thousand enterprises.
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3 days45 USD
727 6 0 3 days45 USD
I have a ready parser for parsing from Google Maps, write to me and we will discuss in what final form to provide you with the information.
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1 day45 USD
4575 50 1 1 day45 USD
Hello, I am a Python developer, I have experience in developing parsers of varying complexity. I can complete your project quickly and efficiently. Write to me - we will discuss the details. I am ready to start working today.
I have extensive experience in parsing Google Maps.
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5 days101 USD
5 days101 USD
Good day.
The task is clear: it is necessary to compile a database of enterprises from 50–80 sites in Zaragoza using Google Maps, and then gather contact information, including email, websites, and phone numbers.
An important nuance: emails in such tasks are usually collected not from Google Maps itself, but additionally from the official websites of the companies, so the implementation will be in 2 stages:
1. gathering companies from the specified areas;
2. visiting the company's website, searching for emails, cleaning, and deduplication.
In the end, I will prepare a structured Excel/CSV file with the fields: name, phone, email, website.
Stack: Python, Playwright/HTTP collection, website parsing, normalization, and export to a table.
… Cost: 4500 UAH
Deadline: 5 days
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1 day90 USD
172 1 1 1 day90 USD
Good day. I am ready to complete this project and have extensive experience in developing various applications.
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