Pricing

from $0.40 / 1,000 results

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Facebook Marketplace Scraper + Discord Alerts

Try for free

💸 $0.45/1K Facebook Listings. The CHEAPEST and FASTEST Facebook Marketplace scraper! Best for flippers and resellers. Instantly finds and sends the newest listings to your Discord for rapid sourcing and real-time alerts. Also supports mass scraping of listing info for analysis or research.

Pricing

from $0.40 / 1,000 results

Rating

3.8

(4)

Developer

Gavin

Actor stats

Bookmarked

271

Total users

Monthly active users

0.083 hours

Issues response

6 days ago

Last modified

Categories

Automation

Real estate

Social media

Features

You can access the Facebook Marketplace Scraper + Discord Alerts programmatically from your own applications by using the Apify API. You can also choose the language preference from below. To use the Apify API, you’ll need an Apify account and your API token, found in API & Integrations in Apify Console.

Python

JavaScript

CLI

OpenAPI

HTTP

MCP

1from apify_client import ApifyClient
2
3# Initialize the ApifyClient with your Apify API token
4# Replace '<YOUR_API_TOKEN>' with your token.
5client = ApifyClient("<YOUR_API_TOKEN>")
6
7# Prepare the Actor input
8run_input = {
9    "searchTerms": [
10        "iPhone",
11        "PS5",
12    ],
13    "minPrices": [
14        "50",
15        "100",
16    ],
17    "maxPrices": [
18        "2000",
19        "1000",
20    ],
21    "daysListed": [
22        "1",
23        "7",
24    ],
25    "latitude": "43.653225",
26    "longitude": "-79.383186",
27    "listingsPerSearch": 5,
28}
29
30# Run the Actor and wait for it to finish
31run = client.actor("futurafree/facebook-marketplace-scraper-discord-alerts").call(run_input=run_input)
32
33# Fetch and print Actor results from the run's dataset (if there are any)
34print(f"💾 Check your data here: https://console.apify.com/storage/datasets/{run.default_dataset_id}")
35for item in client.dataset(run.default_dataset_id).iterate_items():
36    print(item)
37
38# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start

Facebook Marketplace Scraper + Discord Alerts API in Python

The Apify API client for Python is the official library that allows you to use Facebook Marketplace Scraper + Discord Alerts API in Python, providing convenience functions and automatic retries on errors.

Install the apify-client

$pip install apify-client

Other API clients include:

Facebook Marketplace Scraper + Discord Alerts API in JavaScript

Facebook Marketplace Scraper + Discord Alerts API through CLI

Facebook Marketplace Scraper + Discord Alerts OpenAPI definition

Facebook Marketplace Scraper + Discord Alerts API

Facebook Marketplace Scraper

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curious_coder/facebook-marketplace

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Facebook Marketplace [$1.5💰] Get newest items ASAP

memo23/facebook-marketplace-scraper-ppe

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(16)

Facebook Marketplace Scraper + Real Time Notifications

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Search and scrape Facebook Marketplace by keyword for any category — electronics, furniture, clothing, and more. Features exact listing dates, real-time Discord alerts, age filtering, and deduplication. Built with advanced techniques for the lowest cost per run. Export to JSON, CSV, or Excel.

Raidr API

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Extract data from one or multiple Facebook Marketplace listings. Scrape data on apartments, whole categories, items for sale, prices, location and sellers. Export scraped data in JSON, CSV, and Excel, run the scraper via API, schedule and monitor runs or integrate with other tools.

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blackfalcondata/facebook-marketplace-scraper

Scrape Facebook Marketplace by keyword, category, location or URL — every listing arrives with its full description, photo gallery and condition, not just the search card. Track new and price-changed items across runs · price & radius filters · no login.

Black Falcon Data

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Facebook Posts/Comments Scraper

alien_force/facebook-posts-comments-scraper

Facebook Post Scraper with Comments extracts Facebook post details, including text, author info, likes, shares, and media. It also scrapes comments with user details, engagement metrics, and timestamps. Ideal for social media monitoring, sentiment analysis, and audience insights.