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![Funda In Business Scraper](https://images.apifyusercontent.com/YkNRF4e0f6HfrYw5fDTsqb4pmjKjYlw74fW1IZjluhw/rs:fill:250:250/aHR0cHM6Ly9hcGlmeS1pbWFnZS11cGxvYWRzLXByb2QuczMudXMtZWFzdC0xLmFtYXpvbmF3cy5jb20vUlFyOXF2UEI4bDdUQk1JMFEvZzFWdHZ0TjRuSEJEVkFjNVotTlY4MDAucG5n.webp)
Funda In Business Scraper
3 days trial then $5.00/month - No credit card required now
Our plugin extracts business-related data from Funda. Please input the starting URL generated by your search query and specify the number of pages for extraction. Note that our scraper operates with a residential proxy based in the Netherlands for seamless performance.
🏡 What is Fundainbusiness Real Estate Data Scraper?
Our FundainBusiness.nl Real Estate Data Scraper is a powerful tool designed to extract valuable information from commercial real estate listings on FundainBusiness.nl. With this tool, you can effortlessly search for properties in any location and gather essential data points such as prices, addresses, descriptions, and more.
It's important to note that while web scraping can provide valuable insights, it's crucial to respect copyright rules and terms of service of the websites you scrape. Ensure that you're using the scraped data responsibly and in compliance with legal regulations.
For more information on how to use the scraper and ensure legal compliance, please refer to the documentation and guidelines provided with the tool.
Here's an example of the type of data you can extract with our scraper:
1{ 2 "url": "https://www.fundainbusiness.nl/winkel/hilversum/object-43438503-huygensstraat-17-a/", 3 "title": "Huygensstraat 17 A", 4 "metaDescription": "Winkel Hilversum | Zoek winkels te koop: Huygensstraat 17 A 1222 TJ Hilversum", 5 "description": "Tegen het centrum aan gelegen hoekwinkelpand in gebruik als kapsalon. Het NS station, de markt en horecagelegenheden zijn op loopafstand bereikbaar. Indeling: Winkel heeft een verkoopruimte van ca. 45 m² met toilet en berging, Frontbreedte van ca. 10 meter Voorzien van een c.v. installatie en systeemplafonds inclusief verlichting. Vigerend bestemmingsplan: Over 't Spoor. Bestemming: Gemengd-1, d.w.z. dienstverlening, wonen en bedrijven. Functieaanduiding is detailhandel. Indien de functie wordt gewijzigd is dat vergunningsplichtig en daarmee betreft het een toekomstige ontwikkeling (Parkeerbeleid Hilversum 2023). Dit betekent dat in elk plan parkeren opgelost dient te worden op eigen terrein. Dit kan zijn op het betreffende perceel zelf, of als dit niet kan op een terrein elders. Ook is het mogelijk om een deel van de parkeereis (de berekende parkeervraag) af te kopen.", 6 "price": "€ 145.000 k.k.", 7 "vraagPrijs": "€ 145.000 kosten koper", 8 "status": "Beschikbaar", 9 "aanvaarding": "In overleg", 10 "eigendomssituatie": "", 11 "hoofdfunctie": "Winkel met showroom", 12 "soortBouw": "Bestaande bouw", 13 "bouwjaar": "1929", 14 "oppervlakte": "45 m²", 15 "bedrijfshalOppervlak": "", 16 "voorzieningen": "", 17 "energielabel": "D", 18 "ligging": "In woonwijk", 19 "bereikbaarheid": "", 20 "buurtNaam": "Johannes Geradtswegbuurt, Hilversum", 21 "constructionDetails": { 22 "hoofdfunctie": "Winkel met showroom", 23 "soort_bouw": "Bestaande bouw", 24 "bouwjaar": "1929" 25 }, 26 "amenities": { 27 "treinstation": "Treinstation", 28 "bushalte": "Bushalte", 29 "supermarkt": "Supermarkt" 30 }, 31 "surfaceDetails": { 32 "oppervlakte": "45 m²", 33 "verkoopvloeroppervlakte": "45 m²", 34 "breedte_gevel": "10 m" 35 }, 36 "transferDetails": { 37 "vraagprijs": "€ 145.000 kosten koper", 38 "aangeboden_sinds": "", 39 "status": "Beschikbaar", 40 "aanvaarding": "In overleg" 41 }, 42 "indelingDetails": { 43 "aantal_bouwlagen": "1 bouwlaag" 44 }, 45 "objectNumber": "43438503" 46}
Please note that while our scraper can provide valuable insights, it's crucial to respect copyright rules and terms of service of the websites you scrape. Ensure that you're using the scraped data responsibly and in compliance with legal regulations.
How it works
This code is a JavaScript script that uses Cheerio to scrape data from a website. It then stores the website titles in a dataset.
- The crawler starts with URLs provided from the input
startUrls
field defined by the input schema. Number of scraped pages is limited bymaxPagesPerCrawl
field from the input schema. - The crawler uses
requestHandler
for each URL to extract the data from the page with the Cheerio library and to save the title and URL of each page to the dataset. It also logs out each result that is being saved.
Resources
- Video tutorial on building a scraper using CheerioCrawler
- Written tutorial on building a scraper using CheerioCrawler
- Web scraping with Cheerio in 2023
- How to scrape a dynamic page using Cheerio
- Integration with Zapier, Make, Google Drive and others
- Video guide on getting data using Apify API
- A short guide on how to create Actors using code templates:
Getting started
For complete information see this article. In short, you will:
- Build the Actor
- Run the Actor
Pull the Actor for local development
If you would like to develop locally, you can pull the existing Actor from Apify console using Apify CLI:
-
Install
apify-cli
Using Homebrew
brew install apify-cli
Using NPM
npm -g install apify-cli
-
Pull the Actor by its unique
<ActorId>
, which is one of the following:- unique name of the Actor to pull (e.g. "apify/hello-world")
- or ID of the Actor to pull (e.g. "E2jjCZBezvAZnX8Rb")
You can find both by clicking on the Actor title at the top of the page, which will open a modal containing both Actor unique name and Actor ID.
This command will copy the Actor into the current directory on your local machine.
apify pull <ActorId>
Documentation reference
To learn more about Apify and Actors, take a look at the following resources:
- 2 monthly users
- 2 stars
- 100.0% runs succeeded
- Created in Apr 2024
- Modified 4 months ago