Introduction

Facebook marketplace is a very well-known platform for personal car buyers, sellers, as well as dealers.

To get the best offers, different car dealers spend so much time searching the listing manually as well as copy them for more processing. With scraping technologies, they might automate this job. RetailGators scrapes vehicle listings (comes under “Vehicle” category) from Facebook Marketplace to the file. This allows our customers to work with the structured data as well as speeds up work as well as agents’ work.

Scrape Facebook Marketplace for Cars: An Overview

The customers interested in extracting cars from the Facebook Marketplace might have many requirements: scraping data for particular countries, locations, or areas; getting fresh files often; getting dealerships as well as private party listing distinctly or without dealership listings; scraping particular fields; formatting files for importing to the CRM, etc.

The steps of scraping vehicle listing from Facebook Marketplace include:

  • Describing which data to scrape from Facebook Shops or Facebook Marketplace as well as how it needs to get organized.
  • Order-free scraping.
  • Reviewing sample files as well as requesting modifications
  • Placing an order as well as find a car listing in the CSV files.
Scraping Solutions

Here, we’ll show the actions taken to offer ideal result files for RetailGators customers.

Searching for required data. Facebook helps you select the locations by city, ZIP code, or neighborhood, as well as specify the radius for searching within. Therefore, to outline an area, a consumer offers ZIP code + radius, or the listing of targeted cities, or different cities + radius in an example below:

Then we search by the location on Facebook as well as scrape car offers in the outlined areas:

Extracting data on a schedule. The latest data is given once or two times a week as per the agreements between the client as well as RetailGators. A customer gets an updated file through email or through the links in Google Sheets having the timestamp:

Making a file. Here are the customer’s requirements, we’re offering such columns within the file:

  • List URL
  • Vehicle’s year with name i.e. “2015 Hyundai Elantra”
  • The vehicle’s name, as well as the year, are separated into two fields (one for the year “2015” and one for “Hyundai Elantra”)
  • Pricing
  • State/Region
  • City
  • Image URL
  • Seller’s Name
  • Description Given by a Seller

To provide data in this format, we utilize formulas for splitting records from a single column to two. It helps customers to sort as well as filter data within the file as per their requirements.

RetailGators can scrape all the available data on an ad’s page. Therefore, the field list might differ as well as is requested by the client. For example, we can scrape Transmission, Mileage “Driven XXX km”, Fuel Type, Exterior Colors, as well as other accessible data.

Challenges & How to Overcome Them

To stop scraping, Facebook chunks robots with captchas and errors, particularly when you have thousands of pages to get scraped. Because we are offering lists with 15K to 17K lines two times a week, we had experienced getting blocked by Facebook also. After tuning scraping bots, we had managed to continue and scrape data.

Scraping extra fields including Seller’s URL, Name, as well as seller’s Description needed us to click all ads in search results.

Loading every car page always takes extra time, therefore we need to adjust starting of data scraping to offer new files on time.

Results

Presently, we scrape car listing from Facebook for customers from countries like the USA, Columbia, UK, and Canada. Mainly, data is given regularly because new offers come every day, as well as car dealers, require to procedure them as early as possible.

In case, you have some particular cases like extracting Facebook Marketplaces for trucks, cars, or vans for sale through the owner or dealer than contact us. We’ll debate your task through email or arranging the phone call. After that, we’ll perform a test extract, and prepare the file, which will be ideal for you.