Facebook Marketplace Scraper

💡 What is Facebook Marketplace Scraper?

A Facebook Marketplace Scraper is a smart automation tool that helps you extract product listings, prices, images, seller info, and descriptions from Facebook Marketplace — all in structured data formats like JSON, CSV, or Excel.

This scraper lets you turn Facebook’s vast marketplace into a valuable dataset for market research, price monitoring, product sourcing, or business intelligence. Whether you’re using Apify’s Facebook Marketplace Scraper, a Python-based scraper, or a Facebook Marketplace bot from GitHub, you’ll gain actionable insights fast ⚡.

✅ SEO Benefit: By using structured Facebook Marketplace data, businesses can optimize pricing pages, monitor competition, and create data-rich content that boosts organic visibility.

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📦 What Data Can You Extract with Facebook Marketplace Scraper?

🏷️ Data Type	📋 Description
🆔 Listing ID	Unique identifier for each Marketplace product
💬 Title & Description	Product title and full description text
💵 Price	Current, original, and discounted prices
📸 Images & Videos	URLs of product media assets
🌍 Location Data	City, state, and coordinates of listing
👤 Seller Info	Profile name, rating, and profile URL
📅 Date Posted	Creation time and last update
🚗 Category Details	Vehicle, Electronics, Furniture, or other
📦 Condition	New, used, refurbished, etc.
🔗 Listing URL	Direct link to the Facebook listing

This structured Facebook Marketplace dataset can be exported for analysis, visualization, or integration into your Facebook Marketplace API workflows.

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⚙️ Key Features of Facebook Marketplace Scraper

✨ Comprehensive Data Coverage — Extract every essential data field: prices, descriptions, images, and seller info.

🐍 Python Integration — Use the Facebook Marketplace Scraper Python SDK or apify-client to automate data extraction.

📊 JSON/CSV Output — Get results in clean, ready-to-use formats for analytics dashboards or databases.

🔍 Search Filters — Scrape listings by keyword, category (cars, electronics, furniture), or location.

🧩 API Ready — Integrate results using the Facebook Marketplace API or Apify API for automation.

☁️ Cloud-Based Execution — Run your scraper online (e.g., Apify’s cloud) without installing any local dependencies.

🧠 Smart Deduplication — Avoid duplicate data using Apify’s dataset management tools.

🔐 Proxy Support — Supports residential proxies to ensure reliable scraping at scale.

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🧭 How to Use Facebook Marketplace Scraper

Follow these easy steps to get started 👇

1. Log in to Apify – Create a free account or sign in.

2. Select the Actor – Search for “Facebook Marketplace Scraper” in the Apify Store.

3. Enter Input Data – Paste your Marketplace URLs or specify categories (e.g., vehicles, electronics).

4. Configure Options – Choose proxy settings, max pages, and whether to scrape full product details.

5. Run the Scraper – Click “Start” to begin collecting data from Marketplace listings.

6. Download Results – Export results in JSON, CSV, or integrate directly via Apify API or Facebook Marketplace API.

💡 Developers can also use the Apify SDK or Python scripts to automate scraping using facebook-marketplace-scraper packages found on GitHub.

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🎯 Use Cases

The Facebook Marketplace Scraper is ideal for:

• 🛒 E-commerce Competitor Tracking — Monitor pricing, discounts, and trends.

• 📈 Market Research — Analyze supply, demand, and popular categories.

• 🚗 Car Dealers — Use the Facebook Marketplace car scraper to track local auto listings.

• 💼 Lead Generation — Identify new sellers or items in niche markets.

• 🧾 Inventory Automation — Sync Facebook data with your e-commerce database.

• 🤖 AI & ML Training — Build machine learning models with real-world marketplace datasets.

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💥 Why Choose Us?

When you choose our Facebook Marketplace Scraper, you get:

• 🧠 Cutting-edge technology built with the latest Apify and Python tools.

• 🌍 Scalable architecture capable of scraping thousands of listings quickly.

• ⚙️ Easy integration with Google Sheets, Zapier, Slack, and other APIs.

• 🔒 Data security and compliance with scraping best practices.

• 🕒 24/7 uptime with Apify’s cloud infrastructure.

We’re trusted by developers and data teams who use Apify’s Facebook Marketplace Scraper, Facebook Marketplace Scraper GitHub projects, and Python APIs for professional data pipelines.

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📊 How Many Results Can You Scrape?

Our scraper is designed for high-volume data extraction 🔥.

• Scrape hundreds of pages per run

• Extract tens of thousands of listings daily

• Use pagination controls and proxy rotation to expand reach

• Export structured datasets via the Apify API, ideal for data analysis or machine learning pipelines

You can schedule recurring crawls to track price changes, new listings, and market trends automatically.

💡 For advanced setups, connect with the Facebook Marketplace API documentation to integrate scraped datasets into your analytics tools.

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⚖️ Is It Legal to Scrape Facebook Marketplace?

✅ Our scraper only collects publicly available information — such as item descriptions, prices, and locations.
🚫 It does not extract private data (emails, phone numbers, or user messages).

However, users should:

• Follow Facebook’s Terms of Service.

• Respect GDPR and data privacy laws.

• Use scraping tools ethically and for legitimate research or business purposes.

If in doubt, consult the Facebook Marketplace API documentation or a legal expert.

---

🧩 Input Parameters Example

{
  "proxyConfiguration": {
    "useApifyProxy": true,
    "apifyProxyGroups": [
      "RESIDENTIAL"
    ]
  },
  "startUrls": [
    "apartment"
  ],
  "location": "newyork",
  "categories": "",
  "resultsLimit": 500,
  "sortOrder": "relevance",
  "maxComments": 0
}

🧾 Parameter	Description
searchUrls	Marketplace URLs or category links
maxPages	Number of pages to scrape
getItemDetails	Fetch full product details if true
proxy	Proxy configuration for stable scraping

---

📤 Output Format Example

[
  {
    "facebookUrl": "https://www.facebook.com/marketplace/newyork/search/?query=apartment",
    "listingUrl": "https://www.facebook.com/marketplace/item/2201337503639741",
    "id": "2201337503639741",
    "primary_listing_photo": {
      "__typename": "CatalogMarketplaceEnhancementTransformedImage",
      "image": {
        "uri": "https://scontent.fbgw41-3.fna.fbcdn.net/v/t39.84726-6/560928173_836028945600375_4154471190744092199_n.jpg?stp=c43.0.260.260a_dst-jpg_p261x260_tt6&_nc_cat=108&ccb=1-7&_nc_sid=92e707&_nc_ohc=sNcW4y0b30cQ7kNvwFjCcHG&_nc_oc=AdniDCFu5DdezikjdyXjXkhcNZOgEfSO_txgzi7rKyZQWgL8bwX7HfR7DvBbrPFX4DM&_nc_zt=14&_nc_ht=scontent.fbgw41-3.fna&_nc_gid=NfTIvzRB_fQ0EuORAt3z1g&oh=00_AfjGa0-IwUiVO5wReakS5W25TmjLcE0o_BUv_LbpTe4ObQ&oe=69123F3C"
      },
      "id": "832646099271993"
    },
    "listing_price": {
      "formatted_amount": "€800",
      "amount_with_offset_in_currency": "91591",
      "amount": "800.00"
    },
    "strikethrough_price": null,
    "comparable_price": null,
    "comparable_price_type": null,
    "location": {
      "reverse_geocode": {
        "city": "San Jose",
        "state": "CA",
        "city_page": {
          "display_name": "San Jose, California",
          "id": "111948542155151"
        }
      }
    },
    "is_hidden": false,
    "is_live": true,
    "is_pending": false,
    "is_sold": false,
    "is_viewer_seller": false,
    "min_listing_price": null,
    "max_listing_price": null,
    "marketplace_listing_category_id": "1468271819871448",
    "marketplace_listing_title": "2 Beds 1 Bath Apartment/condo",
    "custom_title": "2 beds · 1 bath",
    "custom_sub_titles_with_rendering_flags": [
      {
        "subtitle": "San Jose, CA"
      }
    ],
    "origin_group": null,
    "listing_video": null,
    "parent_listing": null,
    "marketplace_listing_seller": null,
    "delivery_types": [
      "IN_PERSON"
    ]
  },
  {
    "facebookUrl": "https://www.facebook.com/marketplace/newyork/search/?query=apartment",
    "listingUrl": "https://www.facebook.com/marketplace/item/2618460145171241",
    "id": "2618460145171241",
    "primary_listing_photo": {
      "__typename": "Photo",
      "image": {
        "uri": "https://scontent.fbgw41-1.fna.fbcdn.net/v/t39.30808-6/571181526_25055165280812454_1945032950839750648_n.jpg?stp=c0.169.1536.1536a_dst-jpg_s261x260_tt6&_nc_cat=110&ccb=1-7&_nc_sid=454cf4&_nc_ohc=is-wKrP6KqAQ7kNvwGHS8ge&_nc_oc=Adl58hSw7enc2ovdsfSRj0Bl8N0ueadGwLek94-PizevHBwpGoXotM55qIzU2Ldmjoc&_nc_zt=23&_nc_ht=scontent.fbgw41-1.fna&_nc_gid=NfTIvzRB_fQ0EuORAt3z1g&oh=00_AfhZUmPTYRRF3paAw8j-e2bIn657wDzPbWxkUMxn49L_Vg&oe=69125BD4"
      },
      "id": "25055165234145792"
    },
    "listing_price": {
      "formatted_amount": "€2,300",
      "amount_with_offset_in_currency": "263325",
      "amount": "2300.00"
    },
    "strikethrough_price": null,
    "comparable_price": null,
    "comparable_price_type": null,
    "location": {
      "reverse_geocode": {
        "city": "Los Angeles",
        "state": "CA",
        "city_page": {
          "display_name": "Los Angeles, California",
          "id": "110970792260960"
        }
      }
    },
    "is_hidden": false,
    "is_live": true,
    "is_pending": false,
    "is_sold": false,
    "is_viewer_seller": false,
    "min_listing_price": null,
    "max_listing_price": null,
    "marketplace_listing_category_id": "1468271819871448",
    "marketplace_listing_title": "2 Beds 2 Baths - Apartment",
    "custom_title": "2 beds · 2 baths",
    "custom_sub_titles_with_rendering_flags": [
      {
        "subtitle": "1227 N Orange Dr"
      },
      {
        "subtitle": "Los Angeles, CA"
      }
    ],
    "origin_group": null,
    "listing_video": null,
    "parent_listing": null,
    "marketplace_listing_seller": null,
    "delivery_types": [
      "IN_PERSON"
    ]
  },
  {
    "facebookUrl": "https://www.facebook.com/marketplace/newyork/search/?query=apartment",
    "listingUrl": "https://www.facebook.com/marketplace/item/666506416251581",
    "id": "666506416251581",
    "primary_listing_photo": {
      "__typename": "CatalogMarketplaceEnhancementTransformedImage",
      "image": {
        "uri": "https://scontent.fbgw41-3.fna.fbcdn.net/v/t39.84726-6/573290473_1230491732217217_830733042722736558_n.jpg?stp=c43.0.260.260a_dst-jpg_p261x260_tt6&_nc_cat=108&ccb=1-7&_nc_sid=92e707&_nc_ohc=PibPmLQVOQcQ7kNvwH8rnDv&_nc_oc=AdmuHh06TMblCGpg0o2fBwuDjgS-m7xEAFOgGCPMBOHm6K3K2U4u3Hu9_G8wbWgP7Ww&_nc_zt=14&_nc_ht=scontent.fbgw41-3.fna&_nc_gid=NfTIvzRB_fQ0EuORAt3z1g&oh=00_AfiHQwGoY0zRxalqtywK1JAitudfvzZY8VfBgLONvUZiJQ&oe=691254DB"
      },
      "id": "1217765656823158"
    },
    "listing_price": {
      "formatted_amount": "€900",
      "amount_with_offset_in_currency": "103040",
      "amount": "900.00"
    },
    "strikethrough_price": null,
    "comparable_price": null,
    "comparable_price_type": null,
    "location": {
      "reverse_geocode": {
        "city": "Reno",
        "state": "NV",
        "city_page": {
          "display_name": "Lemmon Valley, Nevada",
          "id": "108156085883633"
        }
      }
    },
    "is_hidden": false,
    "is_live": true,
    "is_pending": false,
    "is_sold": false,
    "is_viewer_seller": false,
    "min_listing_price": null,
    "max_listing_price": null,
    "marketplace_listing_category_id": "1468271819871448",
    "marketplace_listing_title": "2 Beds 1 Bath Apartment/condo",
    "custom_title": "2 beds · 1 bath",
    "custom_sub_titles_with_rendering_flags": [
      {
        "subtitle": "9401 Lemmon Dr"
      },
      {
        "subtitle": "Reno, NV"
      }
    ],
    "origin_group": null,
    "listing_video": null,
    "parent_listing": null,
    "marketplace_listing_seller": null,
    "delivery_types": [
      "IN_PERSON"
    ]
  },
  {
    "facebookUrl": "https://www.facebook.com/marketplace/newyork/search/?query=apartment",
    "listingUrl": "https://www.facebook.com/marketplace/item/1273278697869003",
    "id": "1273278697869003",
    "primary_listing_photo": {
      "__typename": "Photo",
      "image": {
        "uri": "https://scontent.fbgw41-4.fna.fbcdn.net/v/t39.30808-6/558045708_24887218634273787_2692694085726827278_n.jpg?stp=c0.169.1536.1536a_dst-jpg_s261x260_tt6&_nc_cat=101&ccb=1-7&_nc_sid=454cf4&_nc_ohc=quhZGJ2nfz8Q7kNvwFtImo6&_nc_oc=AdnXTmedlt2q23W7sJbzOEskGrdj5gK0f6zhV3HJsPnHIT9sdcpXivUE85eGZOjj4-Y&_nc_zt=23&_nc_ht=scontent.fbgw41-4.fna&_nc_gid=NfTIvzRB_fQ0EuORAt3z1g&oh=00_AfhOVVXXXgxUeXJyhibFMhoWWkvh8SgUB9LyGS18XMf4-Q&oe=69125673"
      },
      "id": "24631466749848978"
    },
    "listing_price": {
      "formatted_amount": "€2,300",
      "amount_with_offset_in_currency": "263325",
      "amount": "2300.00"
    },
    "strikethrough_price": null,
    "comparable_price": null,
    "comparable_price_type": null,
    "location": {
      "reverse_geocode": {
        "city": "Los Angeles",
        "state": "CA",
        "city_page": {
          "display_name": "Los Angeles, California",
          "id": "110970792260960"
        }
      }
    },
    "is_hidden": false,
    "is_live": true,
    "is_pending": false,
    "is_sold": false,
    "is_viewer_seller": false,
    "min_listing_price": null,
    "max_listing_price": null,
    "marketplace_listing_category_id": "1468271819871448",
    "marketplace_listing_title": "2 Beds 1 Bath - Apartment",
    "custom_title": "2 beds · 1 bath",
    "custom_sub_titles_with_rendering_flags": [
      {
        "subtitle": "Los Angeles, CA"
      }
    ],
    "origin_group": null,
    "listing_video": null,
    "parent_listing": null,
    "marketplace_listing_seller": null,
    "delivery_types": [
      "IN_PERSON"
    ]
  },
  {
    "facebookUrl": "https://www.facebook.com/marketplace/newyork/search/?query=apartment",
    "listingUrl": "https://www.facebook.com/marketplace/item/1744238509608401",
    "id": "1744238509608401",
    "primary_listing_photo": {
      "__typename": "CatalogMarketplaceEnhancementTransformedImage",
      "image": {
        "uri": "https://scontent.fbgw41-4.fna.fbcdn.net/v/t39.84726-6/569606534_1944446979432597_9162828184809653421_n.jpg?stp=c43.0.260.260a_dst-jpg_p261x260_tt6&_nc_cat=106&ccb=1-7&_nc_sid=92e707&_nc_ohc=N0mL-eXLZGYQ7kNvwG7d9tc&_nc_oc=AdnZ9VyiesG5qZu6u3M879B3vkrS2LHBZ05XaPwUngMckb4I6U8ox65pENqCAcznSyU&_nc_zt=14&_nc_ht=scontent.fbgw41-4.fna&_nc_gid=NfTIvzRB_fQ0EuORAt3z1g&oh=00_AfjuR5HWzWQp4HvYLHvP1et68n42_1wA09k5tMZT9hukNQ&oe=69125B03"
      },
      "id": "1943335826210379"
    },
    "listing_price": {
      "formatted_amount": "€3,000",
      "amount_with_offset_in_currency": "343467",
      "amount": "3000.00"
    },
    "strikethrough_price": null,
    "comparable_price": null,
    "comparable_price_type": null,
    "location": {
      "reverse_geocode": {
        "city": "Venice",
        "state": "CA",
        "city_page": {
          "display_name": "Los Angeles, California",
          "id": "110970792260960"
        }
      }
    },
    "is_hidden": false,
    "is_live": true,
    "is_pending": false,
    "is_sold": false,
    "is_viewer_seller": false,
    "min_listing_price": null,
    "max_listing_price": null,
    "marketplace_listing_category_id": "895487550471874",
    "marketplace_listing_title": "Apartment for rent - 1 bed 1 bath",
    "custom_title": null,
    "custom_sub_titles_with_rendering_flags": [],
    "origin_group": null,
    "listing_video": null,
    "parent_listing": null,
    "marketplace_listing_seller": null,
    "delivery_types": [
      "IN_PERSON"
    ]
  }
]

🧾 Field	Description
id	Unique product identifier
title	Product name or headline
price	Listing price
location	City and state
condition	Product condition
seller_name	Seller’s display name
listing_url	Direct listing link

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❓ FAQ — Facebook Marketplace Scraper

Q1. Can I use this scraper for free?

Yes! Try Apify’s Facebook Marketplace Scraper free on the cloud with limited runs.

Q2. Is there a Facebook Marketplace Scraper GitHub repository?

Absolutely — several open-source options exist, including Python Facebook Marketplace scrapers on GitHub.

Q3. Does it work with the Facebook Marketplace API?

Yes, you can integrate outputs with the Facebook Marketplace API or Apify API for automation.

Q4. Can I target specific categories like cars or electronics?

Yes — use filters to extract data from Facebook Marketplace car listings, electronics, or furniture.

Q5. What programming languages can I use?

It supports Python, Node.js, and API integrations for any environment.

Q6. Where can I find API documentation?

Check out Facebook Marketplace API documentation and Apify documentation for detailed guides.

Q7. How often can I run the scraper?

You can schedule it to run hourly, daily, or weekly depending on your data update needs.

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🚀 Ready to Collect Facebook Marketplace Data?

Start using Facebook Marketplace Scraper online today and transform public listings into actionable insights. Whether through Apify, Python scripts, or GitHub integrations, you’ll have clean, structured data in minutes!