Collection of links to sources with rental housing listings

Budget: 88 EUR Deadline: 4 days

Hello! The task is completely clear. I have extensive experience in web research, OSINT, and gathering targeted databases. I am well acquainted with the specifics of the European and American rental markets (particularly with formats such as sublet, lease takeover, and student communities).

I will create for you a clean and up-to-date database strictly according to your criteria.

How I will carry out the work:

Search and filtering: I will use a combination of manual search, Google Dorks (advanced search operators), and scripts for monitoring social networks. This will allow me to find not only obvious large platforms but also local forums, university boards, and closed expat groups.

Activity verification: Each source will be validated manually. Only those groups and channels with fresh activity and real posts in the last 30 days will be included in the table (no spammy fluff or abandoned forums).

Structure: I will fill in a Google Sheet according to all your columns (City, Platform, Language, Publicity, Activity Level, etc.) with a clear separation by types of real estate (rooms, co-living, long-term rentals).

I guarantee no duplicates and full compliance with the terms of reference (a minimum of 300–500 verified sources focusing on the specified cities). I am ready to start working today. Expand

Budget: 150 EUR Deadline: 6 days

Hello, Tony.

The task is similar — systematic collection and verification of rental sources by cities in the EU/US. I would do it like this:

— For each city (Paris, Geneva, Zurich, Berlin, Amsterdam, Barcelona, Madrid, Milan, London, NY, LA, SF, Boston, Chicago, Miami), I will gather sources based on your types: Facebook groups, Telegram channels, Reddit communities and search links, Craigslist (especially US), local forums and classifieds, university housing boards, expat communities, Instagram agencies/coliving/student housing;
— I will check each link for liveliness and relevance (whether ads are actually being posted, not a dead group), mark the type of rental (short/mid/long, sublease, rooms, lease takeover) and language;
— I will provide it in a structured table: city / source type / link / activity / note — convenient for further work.

At the discovery stage, I will use systematic searching with automation — this speeds up coverage and increases completeness compared to manual searching.

Please clarify: is there a minimum number of sources required per city (for example, 15-20) and in what format would you prefer to receive the database — Google Sheets, CSV, or Notion?

I am ready to start. Expand

Budget: 250 EUR Deadline: 7 days

Hello!

I have extensive experience in developing solutions for parsing and processing data (various sources, protection against blocking, automation). I am ready to complete the assigned task in the shortest possible time.

I suggest we discuss the details in private messages.

Budget: 90 EUR Deadline: 4 days

Hello!

I have gathered similar source databases for several countries, so the task is clear.

I will go through all platforms (Facebook groups, Telegram channels, Reddit, Craigslist, forums, Instagram, X, student and expat boards) for each city on the list and collect active sources where rental ads are actually published. I will only gather public links to the sources themselves — without personal data and without copying ads, as you requested. I will check each link to ensure it opens, filter out duplicates, and prioritize active ones (recent posts from the last 30 days). Everything will be organized in a table according to your structure: city, country, platform, name, URL, type of rental, language, public access, activity, notes.

I will start with the top 15 cities, with 20-40 sources for each, aiming for 300-500+ relevant links.

It would be convenient to start with 2-3 cities so you can evaluate the format and quality of the selection, and then complete the entire volume. I would be happy to discuss project details in private.

Budget: 100 EUR Deadline: 4 days

Hello! The task is completely clear. I know how to search and use search operators. I will gather a clean database of 400+ working and fresh links strictly according to your structure in Google Sheets. I am ready to start right now.

Budget: 50 EUR Deadline: 2 days

Hello, I have been engaged in parsing for over 4 years, and I can easily gather the database and provide it in a convenient format according to the specifications. In general, I specialize in automated parsing and writing scripts. I will manually verify the data, as quality is important for this volume. I am ready to start today. I would be happy to collaborate!

Reviews are available in my profile; I have collected sources from America, LinkedIn, and more.

Budget: 325 EUR Deadline: 7 days

Hello! The range of offers from 15 to 300 euros for your task is quite obvious: for the minimum budget, you will get a semi-live static table generated through ChatGPT, while for the maximum, someone will be assembling it manually for several weeks.

The main problem with both approaches is that the data will "expire" in just a couple of months (groups close down, turn into spam), and manually checking 500 sources for fresh posts in the last 30 days is a colossal amount of monotonous work.

I suggest not buying "one-time fish," but rather addressing this task systematically - developing an automated parsing script (based on PHP/Laravel). It will automatically search for target Facebook groups, Telegram channels, Subreddit communities, and local forums through search algorithms, automatically check the date of the last public post (filtering out dead sources), and export everything into a clean Excel/Google Sheet. The system is fully scalable to any number of cities in the future.

I can implement this solution in two options tailored to your tasks and budget:

Option 1. Console script (CLI version)
- How it works: The system is launched with a single command through the terminal (for example, on your computer or server). Settings (list of cities, search keys) are changed in a text configuration file. You receive a ready-made table file as output.
- For whom: Ideal if you or someone on your team has minimal technical skills (can run commands in the console) and wants a powerful engine without overpaying for design.
- Cost: €200 | Timeline: 4-5 working days.

Option 2. Full-fledged web service with a control panel (Admin panel)
- How it works: I deploy the script on the server and create a simple and understandable interface for you in the browser. You will be able to add new cities through convenient fields, press a big "Start Search" button, and download Excel directly from the browser.
- For whom: If the system will be used by managers or you want to have a maximally autonomous and visually comfortable tool "at one click."
- Cost: €450 | Timeline: 7-8 working days.

Additionally: Services for bypassing CAPTCHAs (SERP API) for your 15 cities will be free (within the limits upon registration), so there are no hidden costs at the start.

Which format of automation would fit better into your workflows? Ready to discuss the details in private messages! Expand

Budget: 25 EUR Deadline: 1 day

Good day, Tony!
In general, the task is clear, but to provide an accurate answer regarding the timeline and price, I would like to clarify some questions that arose after analyzing your task.
Please write in private messages — we will discuss the details and your wishes.

Budget: 300 EUR Deadline: 7 days

Good day!

I will collect and systematize relevant sources according to the specifications.

I will format the result in Google Sheets or Excel in a convenient structure.

I carefully adhere to the requirements of the specifications and am ready to start working promptly.

Budget: 25 EUR Deadline: 3 days

Hello!

I am interested in your project. I have experience in searching and structuring large databases from open sources, working with social networks, forums, thematic directories, and classified ad platforms.

I can compile a quality database of public sources for rental housing in the specified cities in Europe and the USA. For each source, I will check the relevance, absence of duplicates, link accessibility, and presence of recent activity in the last 30 days.

The final Google Sheet or Excel will include:
• city;
• country;
• platform;
• source name;
• link;
• rental type;
• language;
• public access (Yes/No);
• activity level (High/Medium/Low);
• notes.

All data will be collected exclusively from open sources, without personal data and without copying ads. Expand

Budget: 300 EUR Deadline: 7 days

Good day, I have been in web programming for over 9 years. I work with REST APIs, frameworks, and CMS such as Django, Laravel, Yii2, WP, OpenCart, CodeIgniter, etc. I am ready to complete the task. Reviews: Freelancehunt I have a script in Python + Streamlit that searches for contacts through Google Places, which can be improved.

Budget: 300 EUR Deadline: 7 days

As of now, I have the resources and capabilities to gather groups and channels on Telegram. Full filtering, a minimum of 100 participants, the last message no less than 3 days ago, no more than 15% message repetition in the last 100 messages, additional AI verification to ensure the chat is relevant. Considering the large geographical coverage, it is possible to gather even more than 300-500. I am not sure that there will be 20-40 chats in every city, but there will definitely be some. Packaging in Excel is also not a problem. The estimated price is 1 euro per chat.

Regarding other resources - I can only offer the development of parsers that can be run on a schedule, but the prices will be around 250-350 euros per resource. This includes development, protection against blocking, installation, launch, support, and guarantee.

Budget: 50 EUR Deadline: 3 days

Hello!

I understood the task: to compile a catalog of public rental sources by cities in the EU/US — exactly according to your columns (City, Country, Platform, Source, URL, Type, Language, Public, Activity, Notes). I will say right away: your guidelines (no personal data, no copying of the ads themselves, only public links, checking that they open, no duplicates) — I work exactly like that.

How I collect — methodically, I go through each city on the platforms:

Facebook groups/pages, Telegram channels, Reddit (city/expat subreddits + search links), Craigslist (housing sections for US cities), local classifieds and forums, student/university housing boards, expat communities, Instagram agencies/coliving/student housing, X/Twitter search links.
I check that the link opens; assess activity (priority — fresh posts from the last ~30 days); remove duplicates; mark the type of rental and language.
Where to search — I understand for each type: for example, Berlin → WG-Gesucht, r/berlin, expat FB groups; US cities → Craigslist housing + city subreddits + university housing boards; etc.

I suggest immediately reducing the risk: I will do 1 city for free as a sample (for example, Berlin or New York, 20–40 sources in your format) — evaluate the quality before starting.

Result: Google Sheet, 300–500 relevant sources, 20–40 per city.

Estimated cost: 50 EUR, timeframe ~3 days (depending on the number of cities and depth). Ready to start with a free sample for one city. Expand

Budget: 1000 EUR Deadline: 3 days

Good day!

I am ready to professionally compile a database of links to sources with rental housing listings according to your specifications. I have experience working with Google Sheets and structured data search.

Message me privately, and we will clarify the details.

Budget: 600 EUR Deadline: 5 days

Good day! I have already worked on a similar order, so I understand the necessity of clarity and relevance of the data. I will create the required database in an Excel table, with a minimum of 400 relevant links, following the structure you described above. I will complete it as quickly as possible and present it to you for review. The time indicated for completion is approximate; I can finish sooner, but I am allowing extra time just in case. I hope for mutual cooperation and look forward to your response.

Budget: 60 EUR Deadline: 7 days

Tony, I see you need to create a database of active sources where rental listings regularly appear in European and American cities. The main task is to find truly active platforms that are constantly updated.

I will conduct a systematic search for each city, checking the specified types of platforms: Facebook groups, Telegram channels, Reddit communities, Craigslist, local forums, and more. The result will be a structured list of links to verified sources that consistently publish new rental offers.

Do you have a preferred format for the final list, such as a table with specific fields, or can it just be a list of links?

Budget: 600 EUR Deadline: 1 day

Good morning,

Thank you for presenting the scope of the task.
I am interested in preparing a database of links to groups, channels, forums, and platforms with rental listings in major cities in Europe and the USA.

I can search for active sources on Facebook, Telegram, Reddit, Craigslist, and other platforms, as well as check if the listings published there are current and valuable.

Please clarify:
– in what format the database should be delivered (e.g., table, Google sheet),
– whether I should focus solely on the mentioned cities or if I can expand the list,
– if there are any additional criteria regarding the quality or type of listings.

Upon receiving the details, I can start working immediately. Expand

Budget: 25 EUR Deadline: 2 days

Good day! Yes, I can complete this task.

I will gather a database of public sources with housing rental listings: Facebook groups, Telegram channels, Reddit, Craigslist, local websites, forums, student and expat communities, etc.

I will prepare a table with all the necessary fields:

* City
* Country
* Platform
* Source name
* URL
* Type of rentals
* Language
* Public status
* Estimated activity
* Notes

I will start with the main cities, check the relevance of the links, and remove duplicates. I can present the results in Excel/Google Sheets.

I can start working. Expand