LAGIC
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Facebook Marketplace Scraper — Facebook | Lagic

Built For

Extract product, price, and location data from Facebook Marketplace listings.

Curated by Lagic·Verified working

Configure Agent

This lets you tell the scraper where to start. You can enter Facebook Marketplace URLs one by one. You can also link to or upload a text file with a list of URLs.

Select the number of listings you want to scrape. If this limit is not set, as many results as possible will be returned.

If enabled, extra details are scraped for each listing. This includes description, location coordinates, time stamp, listing attributes, and more.

Results to deliver

500 credits

This agent actively searches live listings — results may vary. You are only charged for what is delivered, up to this number.

Lagic Proxy

Country auto-rotated. Need a specific region? Contact support.

Pricing

5 credits per result
✓ 30 free credits on signup✓ Refund if 0 results✓ No card required

Sample Data Preview

Listing TitlePrice and CurrencyItem Condition (e.g., New, Used - Like New)Location (City, State, Postal Code)Full Item Description (with details enabled)GPS Coordinates (with details enabled)
Sample Text...$19.99Value...Value...Value...Value...
Sample Text...$19.99Value...Value...Value...Value...
..................
Exports as:CSVXLSXJSON

Overview

Scrape Facebook Marketplace listings by providing a starting URL. Get key data points like price, condition, location, and listing photos for market research or competitor analysis.

This tool extracts public data from Facebook Marketplace listings, turning local classifieds into a structured dataset. It's designed for e-commerce resellers, local businesses, and market analysts who need to understand the dynamics of the consumer-to-consumer market. By providing a Facebook Marketplace URL—such as a search result for a specific item, a category page, or a location-based search—you can gather a list of products without manual copy-pasting. The tool can retrieve essential information like the listing title, price, currency, and the seller's stated location. ### Deeper Data for Detailed Analysis For more in-depth research, you can enable the "Add Listing Details" option. This retrieves richer information for each listing, including the full text description, the seller's approximate GPS coordinates, the date the item was posted, and specific attributes like size or color. This feature is particularly useful for identifying trends, understanding product turnover, and analyzing how sellers describe their items. The output also includes practical details like the direct URL to the listing, links to all associated photos, and the item's condition. This allows you to build a comprehensive view of the local market for any product category.

Key Capabilities

  • Listing Title
  • Price and Currency
  • Item Condition (e.g., New, Used - Like New)
  • Location (City, State, Postal Code)
  • Full Item Description (with details enabled)
  • GPS Coordinates (with details enabled)
  • Date Posted
  • Direct URL to the Listing
  • Links to All Listing Photos
  • Sold Status (whether the listing is marked as sold)
  • Monitor Competitor Pricing: A used furniture store owner scrapes listings for "sofa" and "dining table" in their city to ensure their prices are competitive with local sellers.
  • Source Undervalued Inventory for Reselling: An electronics reseller scrapes listings for underpriced graphics cards or vintage video games to buy and flip on other platforms.
  • Conduct Local Market Research: A market analyst gathers data on used car listings in several zip codes to understand brand popularity and depreciation trends.
  • Track Supply of a Specific Item: A collector sets up a scheduled scrape to monitor new listings for a rare collectible, getting notified as soon as one becomes available in their area.
  • Analyze Product Description Trends: A marketing agency scrapes descriptions of popular items to identify keywords and phrasing that lead to faster sales.
  • Build a Local Pricing Index: A data scientist collects pricing data for common household goods over several months to build a historical index of local market prices.

Field Dictionary

How To Run This Extractor

1

Find a page on Facebook Marketplace you want to scrape, such as a search result or category, and copy the URL.

2

Paste one or more Facebook Marketplace URLs into the tool's input field.

3

Enter the maximum number of listings you want to retrieve.

4

Optionally, check the 'Add Listing Details' box to get extra data like full descriptions and GPS coordinates.

5

Run the tool and download your data in CSV, JSON, or Excel format.

Frequently Asked Questions

Do I need to be a developer to use this?
No, this tool is designed for non-technical users. You just need to provide a Facebook Marketplace URL and choose your settings.
What formats can I export the data in?
Is it legal to scrape Facebook Marketplace?
How many listings can I scrape at once?
Can I use this for client projects?
What's the difference between this and a generic web scraper?
How reliable is the data?
Can I schedule this tool to run automatically?
How fresh is the data?
What does 'Add Listing Details' actually give me?
Can I scrape all listings from a specific seller?