The Facebook Marketplace Scraper is a powerful utility for collecting structured data from public Marketplace listings. It helps users analyze pricing trends, track products, and gather seller insights with high consistency. Designed for researchers, analysts, and automation builders, this scraper delivers clean and ready-to-use data.
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This project extracts Marketplace listing details such as prices, photos, seller information, attributes, and vehicle specifications. It solves the challenge of manually collecting Marketplace data by automating the retrieval of large volumes of listings. Ideal for data analysts, researchers, resale businesses, and developers building automation workflows.
- Enables bulk data gathering for trend analysis.
- Eliminates manual search and collection time.
- Extracts structured fields suitable for analytics and machine learning.
- Works across multiple listing categories such as vehicles, electronics, and classifieds.
- Produces clean, export-friendly data formats for downstream processing.
| Feature | Description |
|---|---|
| Multi-category scraping | Supports Vehicles, Electronics, Classifieds, and more. |
| Seller profile extraction | Captures seller name, profile link, and ratings data when available. |
| Location and geo-data | Extracts latitude, longitude, and geocoded city/state info. |
| Vehicle details | Retrieves attributes like mileage, trim, transmission, features, and safety ratings. |
| Photo and media collection | Gathers listing images and metadata. |
| Status detection | Identifies availability status (sold, pending, live). |
| Export-ready output | Produces structured fields ready for CSV, JSON, XLS, or API use. |
| Field Name | Field Description |
|---|---|
| id | Unique listing identifier. |
| listing_price | Formatted and raw price values. |
| location | Geographic and reverse-geocoded listing location. |
| marketplace_listing_title | Title of the listing. |
| condition | New/Used condition value. |
| marketplace_listing_seller | Seller name, ID, and profile photos. |
| delivery_types | Available delivery methods. |
| listing_photos | All images associated with the listing. |
| vehicle_make_display_name | Vehicle brand (if category is vehicles). |
| vehicle_model_display_name | Vehicle model name. |
| vehicle_features | List of all available vehicle features. |
| story.url | Public Marketplace URL to the listing. |
| creation_time | Unix timestamp of posting. |
| redacted_description | Listing description text. |
| vehicle_odometer_data | Mileage value and units. |
| vehicle_specifications | Safety ratings and additional specifications. |
[
{
"id": "1384077819184401",
"listing_price": { "formatted_amount": "$3,500" },
"marketplace_listing_title": "2013 Nissan Rogue · SV w/SL Pkg Sport Utility 4D",
"location": { "reverse_geocode": { "city": "New York", "state": "NY" } },
"vehicle_make_display_name": "Nissan",
"vehicle_model_display_name": "Rogue",
"vehicle_odometer_data": { "unit": "MILES", "value": 142000 },
"story": { "url": "https://www.facebook.com/marketplace/item/1384077819184401/" }
}
]
Facebook marketplace scraper/
├── src/
│ ├── runner.py
│ ├── extractors/
│ │ ├── marketplace_parser.py
│ │ └── geo_utils.py
│ ├── outputs/
│ │ └── exporters.py
│ └── config/
│ └── settings.example.json
├── data/
│ ├── inputs.sample.txt
│ └── sample.json
├── requirements.txt
└── README.md
- Market researchers use it to collect pricing trends so they can forecast resale values with confidence.
- Resellers and dealerships use it to monitor competitor listings to optimize pricing strategies.
- Data analysts use it to build vehicle comparison datasets for modeling and insights.
- Automation engineers integrate it into workflows to trigger alerts when new items appear.
- Local buyers track listings programmatically to spot good deals instantly.
Q: Does this scraper collect private or sensitive data? A: No. It only extracts publicly visible Marketplace information shared voluntarily by the seller.
Q: What listing categories are supported? A: It works across all major Marketplace categories including Vehicles, Electronics, Home Goods, and Classifieds.
Q: Can this scraper capture all listing images? A: Yes, it collects the primary photo plus additional gallery images with metadata when available.
Q: In what formats can I export the results? A: Output can be saved in JSON, CSV, XLS, or retrieved programmatically via API endpoints.
Primary Metric: Processes an average of 40–70 listings per minute depending on category complexity and media size. Reliability Metric: Achieves a steady 95%+ successful extraction rate across public listings. Efficiency Metric: Optimized for low bandwidth consumption by batching requests and minimizing redundant data pulls. Quality Metric: Produces highly structured data with strong completeness across fields such as pricing, seller info, and vehicle attributes.
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