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Facebook Marketplace Scraper

Pricing

$19.99/month + usage

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Facebook Marketplace Scraper

Facebook Marketplace Scraper

Extract product listings from Facebook Marketplace with ease! This actor scrapes titles, prices, descriptions, seller info, locations, images, and post URLs. Perfect for market research, price monitoring, competitor analysis, or lead generation from Facebook Marketplace listings.

Pricing

$19.99/month + usage

Rating

5.0

(1)

Developer

Scraper Engine

Scraper Engine

Maintained by Community

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0

Bookmarked

116

Total users

5

Monthly active users

13 days ago

Last modified

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πŸ’‘ 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 β€” 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 ⚑.

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

πŸ› οΈ Support and Feedback

  • 🐞 Bug reports: Open a ticket in the repository Issues section
  • ✨ Custom solutions or feature requests: Contact our team πŸ“§ Email: dev.scraperengine@gmail.com

πŸ“¦ What Data Can You Extract with Facebook Marketplace Scraper?

🏷️ Data TypeπŸ“‹ Description
πŸ†” Listing IDUnique identifier for each Marketplace product
πŸ’¬ Title & DescriptionProduct title and full description text
πŸ’΅ PriceCurrent, original, and discounted prices
πŸ“Έ Images & VideosURLs of product media assets
🌍 Location DataCity, state, and coordinates of listing
πŸ‘€ Seller InfoProfile name, rating, and profile URL
πŸ“… Date PostedCreation time and last update
πŸš— Category DetailsVehicle, Electronics, Furniture, or other
πŸ“¦ ConditionNew, used, refurbished, etc.
πŸ”— Listing URLDirect link to the Facebook listing

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


βš™οΈ Key Features of Facebook Marketplace Scraper

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

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

πŸ“Š JSON/CSV Output β€” Get results in clean, ready-to-use formats for analytics dashboards or databases.

πŸ” Search Filters β€” Scrape listings by keyword, category (cars, electronics, furniture), or location.

🧩 API Ready β€” Integrate results using the Facebook Marketplace API or Apify API for automation.

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

🧠 Smart Deduplication β€” Avoid duplicate data using Apify’s dataset management tools.

πŸ” Proxy Support β€” Supports residential proxies to ensure reliable scraping at scale.

πŸ”— What are other Facebook scraping tools?

If you want to scrape specific Facebook data, you can use any of the dedicated scrapers below for faster and more targeted results.
Just enter Facebook URLs, page names, group links, keywords, or profile IDs and start scraping instantly.

πŸ“± Facebook Profile Phone Number ScraperπŸŽ₯ Facebook Videos Scraper
πŸ“ Facebook Video Transcript Extractor🎞️ Facebook Reels Scraper
πŸ“° Facebook Page Posts ScraperπŸ“„ Facebook Pages Scraper
πŸ“… Facebook Event Search ScraperπŸ‘₯ Facebook Followers Scraper
πŸ’¬ Facebook Group Post ScraperπŸ” Facebook Video Search Scraper
πŸ“’ Facebook Ads Library Scraper🎟️ Facebook Events Scraper
πŸ” Facebook Followers and Following Scraper⭐ Facebook Reviews Scraper
πŸ”— Facebook URL to ID ScraperπŸ‘ͺ Facebook Groups Scraper
πŸ‘€ Facebook Group Profile ScraperπŸ“Š Facebook Group Posts and Details Scraper
πŸ“ Facebook Posts ScraperπŸ–ΌοΈ Facebook Photos Scraper
πŸ“§ Facebook Email ScraperπŸ“¨ Facebook Profile Email Scraper
πŸ“© Facebook Page Email ScraperπŸ“ž Facebook Page Phone Number Scraper
☎️ Facebook Phone Number Scraper

🧭 How to Use Facebook Marketplace Scraper

Follow these easy steps to get started πŸ‘‡

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

  2. Select the Actor – Search for β€œFacebook 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 β€œStart” 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.

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


🎯 Use Cases

The Facebook Marketplace Scraper is ideal for:

  • πŸ›’ E-commerce Competitor Tracking β€” Monitor pricing, discounts, and trends.

  • πŸ“ˆ Market Research β€” Analyze supply, demand, and popular categories.

  • πŸš— Car Dealers β€” Use the Facebook Marketplace car scraper to track local auto listings.

  • πŸ’Ό Lead Generation β€” Identify new sellers or items in niche markets.

  • 🧾 Inventory Automation β€” Sync Facebook data with your e-commerce database.

  • πŸ€– AI & ML Training β€” Build machine learning models with real-world marketplace datasets.


πŸ’₯ 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.

  • βš™οΈ Easy integration with Google Sheets, Zapier, Slack, and other APIs.

  • πŸ”’ Data security and compliance with scraping best practices.

  • πŸ•’ 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.


πŸ“Š How Many Results Can You Scrape?

Our scraper is designed for high-volume data extraction πŸ”₯.

  • 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.

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


βœ… Our scraper only collects publicly available information β€” 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

{
"deepScrape": true,
"proxyConfiguration": {
"useApifyProxy": false
},
"startUrls": [
{
"url": "https://www.facebook.com/marketplace/108479165840750/search/?query=phone&exact=false"
}
],
"maxItems": 10
}
🧾 ParameterDescription
searchUrlsMarketplace URLs or category links
maxPagesNumber of pages to scrape
getItemDetailsFetch full product details if true
proxyProxy configuration for stable scraping

πŸ“€ Output Format Example

{
"seo_virtual_category": {
"taxonomy_path": [
{
"seo_info": {
"seo_url": "electronics",
"id": "2458992307542385"
},
"id": "479353692612078"
},
{
"seo_info": {
"seo_url": "cell-phones",
"id": "3008197932555182"
},
"id": "938398819835981"
},
{
"seo_info": {
"seo_url": "samsung-cell-phones",
"id": "2373027359486649"
},
"id": "617929722073750"
}
],
"id": "617929722073750"
},
"location": {
"latitude": 24.381408691406,
"longitude": 88.566284179688
},
"is_shipping_offered": false,
"__isMarketplaceListingWithSweepstake": "GroupCommerceProductItem",
"sweepstake_enabled": false,
"__typename": "GroupCommerceProductItem",
"id": "1163575828943461",
"__isMarketplaceListingWithVariants": "GroupCommerceProductItem",
"base_marketplace_listing_title": "Mobaile phone",
"marketplace_listing_title": "Mobaile phone",
"__isMarketplaceListingRenderable": "GroupCommerceProductItem",
"__isMarketplaceListingWithPersonalization": "GroupCommerceProductItem",
"personalization_info": null
},
🧾 FieldDescription
idUnique product identifier
titleProduct name or headline
priceListing price
locationCity and state
conditionProduct condition
seller_nameSeller’s display name
listing_urlDirect listing link

❓ FAQ β€” 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 β€” 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 β€” 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.


πŸš€ 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!