[Blog](https://scrapfly.io/blog) / [python](https://scrapfly.io/blog/tag/python) / [5 Best Open-Source Facebook Marketplace Scrapers on GitHub in 2026](https://scrapfly.io/blog/posts/best-facebook-marketplace-scrapers-github) # 5 Best Open-Source Facebook Marketplace Scrapers on GitHub in 2026 by [Mayada Shaaban](https://scrapfly.io/blog/author/mayada-shaaban-90143e67) Jul 24, 2026 19 min read [\#python](https://scrapfly.io/blog/tag/python) [\#scrapeguide](https://scrapfly.io/blog/tag/scrapeguide) [ ](https://www.linkedin.com/sharing/share-offsite/?url=https%3A%2F%2Fscrapfly.io%2Fblog%2Fposts%2Fbest-facebook-marketplace-scrapers-github "Share on LinkedIn") [ ](https://x.com/intent/tweet?url=https%3A%2F%2Fscrapfly.io%2Fblog%2Fposts%2Fbest-facebook-marketplace-scrapers-github&text=5%20Best%20Open-Source%20Facebook%20Marketplace%20Scrapers%20on%20GitHub%20in%202026 "Share on X") [ ](https://www.facebook.com/sharer/sharer.php?u=https%3A%2F%2Fscrapfly.io%2Fblog%2Fposts%2Fbest-facebook-marketplace-scrapers-github "Share on Facebook") Summarize this article with [ ](https://chat.openai.com/?q=Summarize%20this%20article%20and%20explain%20how%20Scrapfly%20helps%20me%20scrape%20any%20website%20at%20scale%20and%20bypass%20anti-bot%20systems%20for%20my%20use%20case%3A%20https%3A%2F%2Fscrapfly.io%2Fblog%2Fposts%2Fbest-facebook-marketplace-scrapers-github) [ ](https://claude.ai/new?q=Summarize%20this%20article%20and%20explain%20how%20Scrapfly%20helps%20me%20scrape%20any%20website%20at%20scale%20and%20bypass%20anti-bot%20systems%20for%20my%20use%20case%3A%20https%3A%2F%2Fscrapfly.io%2Fblog%2Fposts%2Fbest-facebook-marketplace-scrapers-github) [ ](https://x.com/i/grok?text=Summarize%20this%20article%20and%20explain%20how%20Scrapfly%20helps%20me%20scrape%20any%20website%20at%20scale%20and%20bypass%20anti-bot%20systems%20for%20my%20use%20case%3A%20https%3A%2F%2Fscrapfly.io%2Fblog%2Fposts%2Fbest-facebook-marketplace-scrapers-github) [ ](https://www.perplexity.ai/search/new?q=Summarize%20this%20article%20and%20explain%20how%20Scrapfly%20helps%20me%20scrape%20any%20website%20at%20scale%20and%20bypass%20anti-bot%20systems%20for%20my%20use%20case%3A%20https%3A%2F%2Fscrapfly.io%2Fblog%2Fposts%2Fbest-facebook-marketplace-scrapers-github) [ ](https://www.google.com/search?udm=50&aep=11&q=Summarize%20this%20article%20and%20explain%20how%20Scrapfly%20helps%20me%20scrape%20any%20website%20at%20scale%20and%20bypass%20anti-bot%20systems%20for%20my%20use%20case%3A%20https%3A%2F%2Fscrapfly.io%2Fblog%2Fposts%2Fbest-facebook-marketplace-scrapers-github) Search "facebook marketplace scraper" on GitHub and the first repo is archived, the second is untouched since 2024, and half the rest are sales pitches with a README. The star counts reassure you right up until you clone one and it returns nothing. The rule here is simple. Freshness beats stars, because the most-starred Marketplace scraper on GitHub is archived and returns nothing today. This roundup ranks five open-source repos that still run, then names the popular ones that stopped working. [How to Scrape Facebook Marketplace and Events With PythonScrape public Facebook Pages, Posts, Marketplace, Events, and Groups in Python with Scrapfly: anti-bot bypass, residential proxies, and JS rendering.](https://scrapfly.io/blog/posts/how-to-scrape-facebook) [**Latest Facebook Scraper Code**github.com/scrapfly/scrapfly-scrapers/facebook-scraper](https://github.com/scrapfly/scrapfly-scrapers/tree/main/facebook-scraper) ## Key Takeaways - **Pick by job:** managed API for production, a monitor for alerts, a library for code. - **Most GitHub repos are dead:** the top-starred one is archived, so check the commit date. - **Facebook blocks logged-out search now,** so most DIY repos need an account session. - **Playwright plus BeautifulSoup is the DIY stack,** fingerprinted fast without stealth. - **No official Marketplace API exists,** which is why these scraping repos exist. - **For no-login data at scale,** a managed API removes account risk and anti-bot upkeep. **Get web scraping tips in your inbox**Trusted by 100K+ developers and 30K+ enterprises. Unsubscribe anytime. ## Which Open-Source Facebook Marketplace Scraper on GitHub Should You Use? For production Marketplace data without a Facebook login, Scrapfly's open-source `facebook-scraper` is the most maintained option. For automated deal hunting, pick BoPeng's AI Marketplace Monitor, and for a tested Python library, pick danyk20's pip-installable scraper. Match the repo to the job rather than to its star count. Here are the quick picks by task: - Production data with no Facebook login: Scrapfly `facebook-scraper` - Automated deal alerts with AI filtering: AI Marketplace Monitor - Tested, pip-installable library: danyk20/facebook-marketplace-scraper - Stealth CLI with listing details: hyuwowo/fb-marketplace-scraper - Minimal, hackable single-file script: OpenClaw Facebook Marketplace Scraper The table below is the at-a-glance version, verified July 2026. Stars, last commit, and login model are the columns that matter, because they answer the maintenance and account-risk questions that dominate this search. | Tool | Repo (owner/name) | Language | Stars | Last commit | License | Facebook login | API key | Coverage | |---|---|---|---|---|---|---|---|---| | Scrapfly facebook-scraper | scrapfly/scrapfly-scrapers | Python | 1,036 | Jul 2026 | NPOSL-3.0 | No | Scrapfly key | Marketplace listings + Events | | AI Marketplace Monitor | BoPeng/ai-marketplace-monitor | Python | 274 | Jul 2026 | AGPL-3.0 | Yes (interactive) | AI backend (optional) | Search monitoring + alerts | | danyk20 scraper | danyk20/facebook-marketplace-scraper | Python | 2 | Jul 2026 | MIT | Yes | None | Search + listing details | | hyuwowo scraper | hyuwowo/fb-marketplace-scraper | Python | 3 | May 2026 | MIT | Yes (cookies) | None | Search + parallel detail pages | | OpenClaw scraper | Scratchycarl/OpenClaw\_Facebook\_Marketplace\_Scraper | Python | 7 | Mar 2026 | None | Yes (saved session) | None | Search results to JSON | The star counts here are honest and small for the independents, and that is the point. This niche's high-star repos are dead, so the list is ranked by freshness, not fame. For the actual scraping method behind these repos, see the Facebook scraping guide linked above. ## How Did We Rank These Facebook Marketplace Scraper Repos? We ranked on last-commit recency first. Then came Marketplace coverage, the login model, license clarity, and whether the repo runs standalone. Freshness leads here because the niche's most-starred repo sits archived. A recent push predicts a working clone far better than a big star count does. Coverage means the Marketplace-specific job: search results, listing details, seller info, and locations. The login model tells you whether running the repo risks your Facebook account, which is now the sharpest dividing line between these tools. License clarity matters too, and we flag it honestly where it is messy. "Open-source" here means a real public repo with runnable code you can clone and adapt. Two caveats get stated in the entries themselves. One ranked repo ships no license file, and one uses a non-profit open-source license and needs an API key for its managed scraping layer. The inclusion rule is short. A repo must be Marketplace-capable and pushed within roughly the last twelve months as of July 2026. It must also offer standalone value, not act as a showcase that funnels you to a paid service. We judge every repo on coverage and maintenance, including Scrapfly's own. With the criteria set, here is the ranked list. ## 1. Scrapfly facebook-scraper: Best for Production Marketplace Data Without a Facebook Login Scrapfly's open-source `facebook-scraper` is the most maintained repo in this roster, and it is the only entry that pulls Marketplace data without logging into a Facebook account. The anti-bot work runs on a managed Web Scraping API underneath, so the scraping code stays short. The project lives inside the `scrapfly/scrapfly-scrapers` collection, which carries over 1,000 stars and last shipped in July 2026 under the NPOSL-3.0 license. The scraper covers Marketplace listings, prices, seller info, and locations, plus Facebook Events. The layout is clean: `facebook.py` holds the logic, `run.py` shows example calls, `test.py` runs a pytest suite (`test_marketplace_scraping`, `test_events_scraping`), and `results/` holds sample output. The scraper wins on account safety and simplicity. It reads only public data, so there is no Facebook login, no cookies, and no ban risk to a personal profile. The API layer handles the fingerprinting, proxy rotation, and anti-bot problem. Scrapfly maintains the repo as part of a 40-plus site scraper collection. Two limits are worth stating. It needs a Scrapfly API key set as `SCRAPFLY_KEY`, where the free trial covers evaluation and you pay for sustained scale. The license is NPOSL-3.0, not MIT. Running it takes four commands: bash```bash git clone https://github.com/scrapfly/scrapfly-scrapers.git cd scrapfly-scrapers/facebook-scraper export SCRAPFLY_KEY="YOUR_SCRAPFLY_KEY" poetry install poetry run python run.py ``` Running `run.py` writes parsed Marketplace listings to `results/marketplace.json`. In our own July 2026 test, a single search request returned 14 public listings with titles, prices, and seller data. It never hit a login wall. The Scrapfly repo suits teams that need reliable Marketplace data and would rather not maintain browser stealth or gamble a Facebook account. Next is the strongest independent project in the niche. ## 2. AI Marketplace Monitor: Best for Automated Deal Alerts with AI Filtering BoPeng's AI Marketplace Monitor is the strongest independent open-source project here: 274 stars, a July 2026 push, and AGPL-3.0. The project is a monitor, not a bulk scraper, so it watches Marketplace searches and pings you when a listing matches. The tool is built on [Playwright](https://scrapfly.io/blog/posts/web-scraping-with-playwright-and-python) and published to PyPI as `ai-marketplace-monitor`. The monitor runs scheduled searches, scores each hit with an AI backend (OpenAI, Anthropic Claude, DeepSeek, or a local Ollama model) against your plain-language rules, and pushes notifications through PushBullet, Telegram, and more. A built-in web UI handles config and live logs, and the Docker image bundles Chromium plus noVNC so you can solve logins and CAPTCHAs inside the container. The monitor fits the deal-hunting job: multi-city searches, price and keyword filters, AI ratings like "Great deal (5)," and rate-limited alerts. It is real engineering, with tests, a docs site, and an active issue queue. The trade-offs are clear. It needs an interactive Facebook login in its browser, so the account risk is yours. The AGPL-3.0 license matters if you embed it in a product, AI scoring needs an API key or a local model, and it is not built for bulk dataset extraction. Getting it running is short: bash```bash pip install ai-marketplace-monitor # create a config.toml with your search terms and notification target ai-marketplace-monitor --config config.toml ``` The tool then loops your searches on a schedule and notifies you on each new match. It fits resellers and deal hunters who want alerts, not datasets. The next entry trades monitoring for a clean, tested library. ## 3. danyk20/facebook-marketplace-scraper: Best Tested pip-Installable Marketplace Library danyk20's scraper is the cleanest library-grade option in the niche. The repo is MIT-licensed, on PyPI, CI-tested with a documented 96% coverage badge, and pushed in July 2026, with the most honest README here about what Facebook now blocks. The package is Playwright-driven (Python 3.13) and installs as `facebook-marketplace-scraper`. It fetches every listing matching a free-text search, plus listing details, to CSV or JSON. You can run it as a CLI or import it as a library, where `scrape()` returns a typed `ScrapeResult`. It searches any item type but ships with Switzerland (`--country ch`) as the only configured country, where the README documents adding another as a one-line `COUNTRY_ANCHORS` change. The maintainer wrote its docs to be readable by AI agents. The standout is engineering hygiene that is rare here: tests, CI, typed interfaces, and real PyPI releases. The README also documents its findings plainly, including that a bare `requests` call gets blocked at the HTTP level and that no callable JSON listing API exists to hit directly. The main limit is login. The README documents that Marketplace search now hard-redirects anonymous, cookie-less visitors to a login page, confirmed against multiple fresh browser profiles. So you need a Facebook account. The project carries 2 stars as a young, single-maintainer effort, and being browser-based, it limits throughput and carries a real account-ban risk. A minimal run looks like this: bash```bash pip install facebook-marketplace-scraper python -c "from fb_scraper.scraper import scrape; print(scrape('laptop', country='ch'))" ``` The call returns a `ScrapeResult` with the matching listings, or raises `LoginRequiredError` with an actionable message if Facebook redirects to login. danyk20's scraper suits Python developers who want a tested, documented library instead of a loose script. The next repo leans into stealth from the command line. ## 4. hyuwowo/fb-marketplace-scraper: Best Stealth CLI for Search Plus Listing Details hyuwowo's scraper is the pick for ad-hoc stealth scraping from the command line. It pairs playwright-stealth with fingerprint randomization, auto city detection, and clean JSON output you can pipe straight to `jq`. The scraper is an MIT-licensed Python CLI, pushed in May 2026 with 3 stars at the July 2026 snapshot. Under the hood it uses [playwright-stealth](https://scrapfly.io/blog/posts/playwright-stealth-bypass-bot-detection), browserforge random fingerprints, and Bezier mouse movement. Auth is cookie-based, so you export your Facebook cookies to `cookies.json`, and the tool auto-detects your city from those cookies. The CLI searches by keyword across categories, scrapes seller, condition, and description on detail pages across three parallel tabs, and its `--api` mode prints clean JSON while table mode saves CSV. The draw is speed from intent to output. It is the fastest local path from "I want Marketplace search results plus details as JSON" to done. The pattern-matching parser uses no hardcoded UI strings, which makes the CLI less brittle against DOM churn. The downsides are the usual ones for this class. It needs your Facebook account cookies, so the session risk is yours, it is young and single-maintainer, and stealth tooling is an arms race, so expect maintenance gaps. The run pattern is a single line once `cookies.json` is in place: bash```bash python scraper.py "" "laptop" 10 --headless --details --api | jq ``` That command searches for laptops, scrapes detail pages, and streams JSON to `jq`. If you handle cookies for other scrapers, our [guide to cookies in web scraping](https://scrapfly.io/blog/posts/how-to-handle-cookies-in-web-scraping) covers the export-and-reuse pattern. The scraper suits local, small-scale pulls with stealth defaults. The final entry strips everything down to one readable file. ## 5. OpenClaw Facebook Marketplace Scraper: Best Minimal Single-File Scraper to Hack On Scratchycarl's OpenClaw scraper is the best starting point if you want a minimal, readable script to adapt. It logs in once, saves the session, then runs city, query, and max-price searches to JSON from a single small `main.py`. The scraper is a single-file Python CLI, 7 stars and pushed March 2026, built on Playwright plus [BeautifulSoup](https://scrapfly.io/blog/posts/web-scraping-with-python-beautifulsoup) with heuristic extraction meant to survive Facebook's shifting UI. The tool pulls title, price, location, image URL, and listing link. A helper script, `login_and_save_cookies.py`, saves `auth_state.json` so you log in once, and it can run headless after that. The appeal is readability. It is small enough to understand in one sitting, which none of the framework-grade options are, and its README warns plainly about Terms of Service and account-restriction risk up front. One limit needs stating plainly. It ships no license file, so default copyright applies. That means you can read and learn from it freely, but ask the author before reusing the code in a product. Heuristic extraction returns core fields only, a logged-in session is required, and it is single-maintainer. The run flow is short: bash```bash python3 -m pip install playwright beautifulsoup4 lxml python3 login_and_save_cookies.py python3 main.py --city "Richmond" --query "iPad Air" --max_price 100 ``` The login script opens a browser once to save your session, then `main.py` prints matching listings as JSON. It suits developers who want a comprehensible base to customize. That covers the roster. The question underneath all of them is whether you need to log in at all. Scrapfly #### Scale your web scraping effortlessly Scrapfly handles proxies, browsers, and anti-bot bypass — so you can focus on data. [Try Free →](https://scrapfly.io/register)## Can You Scrape Facebook Marketplace Without Logging In? Mostly no with a plain browser anymore. As of mid-2026, Marketplace search redirects anonymous visitors to a login page, which is why almost every DIY repo now needs an account session. A managed-API approach that reads public listing data is the main no-login path left. The 2026 state is dated and sourced. danyk20's README documents that the `/marketplace/{...}/search` path hard-redirects cookie-less browsers straight to Facebook's login. The maintainer confirmed this against multiple completely fresh browser profiles, where logged-out browsing used to return real results. Treat it as a moving target, since Facebook adjusts it often. What that means per repo class is straightforward. The browser-automation repos, entries 2 through 5, need a logged-in session through credentials, exported cookies, or a saved auth state. Running automation on your Facebook account can get it temporarily or permanently restricted. The OpenClaw and passivebot READMEs both warn about this directly. Scrapfly's repo reads only public data that needs no login, since the API layer handles access. The practical decision comes down to risk tolerance. If your job tolerates account risk and small volumes, a cookie-based repo works. If it does not, use the no-login path. Either way, keep to the public-data boundary: scrape public listings only, never logged-in-only personal data like messages or profiles behind the login. The next section is for readers who want no ready-made repo at all. [11 Best Web Scraping APIs, Libraries, and Crawlers for Developers in 2026Compare the best web scraping tools in 2026. Pipeline-based guide covering Scrapfly, BeautifulSoup, Playwright, Scrapy, and more for production scraping.](https://scrapfly.io/blog/posts/best-web-scraping-apis) ## Prefer to Build Your Own? Frameworks for Marketplace Scraping on GitHub If no ready-made repo fits, you build your own with a browser-automation framework plus a parser. These are general tools, not Marketplace scrapers, and none of them handles Facebook's anti-bot or login wall for you. This section is deliberately short. Here are the three pieces of the standard stack, with one honest limit each: - **Playwright**: the community-standard driver for Marketplace, and every ranked independent here uses it. Its default fingerprints are detectable, so you add stealth plugins, proxies, and a login session yourself. - **BeautifulSoup**: the parsing half of the stack. It is useless alone against Marketplace, because the page is JS-rendered, so bare requests plus BeautifulSoup returns nothing, which is the classic first failure everyone hits. - **Selenium** ([Selenium](https://scrapfly.io/blog/posts/web-scraping-with-selenium-and-python)): it works, but the abandoned Selenium-era Facebook repos on GitHub show its maintenance cost, and it is more detectable than Playwright without patching. A conceptual skeleton wires the two halves together, launch a browser, load a search, hand the HTML to a parser: python```python from playwright.sync_api import sync_playwright from bs4 import BeautifulSoup with sync_playwright() as p: browser = p.chromium.launch(headless=True) page = browser.new_page() page.goto("https://web-scraping.dev/products") # stand-in for a Marketplace search soup = BeautifulSoup(page.content(), "html.parser") # Facebook selectors churn constantly; see the full guide for the maintained pattern browser.close() ``` We left the selectors out on purpose, because they change constantly and any live set ages fast. For the maintained extraction pattern, including the hidden-JSON approach, lean on the Facebook scraping guide rather than reinventing it. Before you build anything, though, know which repos to walk past. ## Which Facebook Marketplace Scrapers Should You Avoid? Avoid two categories: high-star repos that are archived or years stale, which is most of what ranks, and "scraper" repos whose README is a sales pitch. Both waste your time in different ways. The dated evidence, all verified July 2026, tells the story: - **The most-visible repo is archived.** passivebot/facebook-marketplace-scraper carries 391 stars and is the top GitHub result for this search, but it is archived and read-only with its last push in April 2024. Its issue queue already read "login to view the content," "CSS selectors outdated," and "Getting blocked." High stars, dead code. - **Stale SERP neighbors.** martin3252/Facebook\_Marketplace\_Scraper (4 stars, March 2024), JustSxm/Deals-Scraper (103 stars, April 2024), mdubey07/FacebookMarketplaceScraper (28 stars, December 2020), and the-data-circle/facebook-marketplace-webscraping (56 stars, June 2025, README led by an affiliate proxy link). Facebook's DOM has churned since, so expect empty output. - **Sales-pitch repos.** Some Marketplace "scrapers" exist to sell you the maintainer's service, so the README is contact buttons, pricing badges, or "let's chat" links around little runnable code. Needing an API key is not disqualifying on its own, since entry #1 needs one and says so, and the real test is standalone value. Practitioners keep reaching the same conclusion. On developer forums in 2026, the recurring complaint is that most GitHub Marketplace repos are either outdated or no longer working. That is exactly why this ranked list is short and freshness-ordered. So why do they break so fast? ## Why Do Facebook Marketplace Scrapers Keep Breaking? Facebook fights automation on three fronts at once: login walls, bot fingerprinting, and constant DOM churn. A hobby repo maintained by one person cannot keep pace with all three, so it breaks within weeks of the last commit. The three failure modes compound each other: - **Login walls**: anonymous Marketplace search access tightened in 2026, sessions get challenged, and automated accounts get restricted. - **Fingerprinting and bot detection**: default Playwright and Selenium signatures get flagged within days, following the familiar path where bare requests fails, a headless browser works briefly, then detection kicks in. - **DOM churn**: randomized class names and constant UI changes silently break selectors, which is why last-commit date is the strongest signal in the comparison table. There is a calmer alternative for the parts you do not want to maintain. A managed Web Scraping API absorbs the fingerprint, proxy, and anti-bot arms race, so your open-source scraping code stays small. Scrapfly's own `facebook-scraper` repo is one valid starting point among several. That managed layer is worth a closer look. ## Power Your Facebook Marketplace Scraper With Scrapfly ScrapFly's [Web Scraping API](https://scrapfly.io/web-scraping-api) is a single HTTP endpoint for collecting web data at scale, with a **99.99% success rate** across **130M+ proxies in 190+ countries**. - [Anti-Scraping Protection bypass](https://scrapfly.io/docs/scrape-api/anti-scraping-protection) - automatically defeats Cloudflare, DataDome, PerimeterX, Akamai, and 90+ other bot systems. - [Smart proxy rotation](https://scrapfly.io/docs/scrape-api/proxy) - residential and datacenter pools with country and ASN level geo-targeting. - [JavaScript rendering](https://scrapfly.io/docs/scrape-api/javascript-rendering) - render SPAs and dynamic pages through real cloud browsers. - [Browser automation scenarios](https://scrapfly.io/docs/scrape-api/javascript-scenario) - scroll, click, fill forms, and wait for elements without managing a browser fleet. - [Format conversion](https://scrapfly.io/docs/scrape-api/getting-started#api_param_format) - return pages as HTML, JSON, clean text, or LLM ready Markdown. - [Session management](https://scrapfly.io/docs/scrape-api/session) - keep cookies, headers, and IPs consistent across multi step flows. - [Smart caching](https://scrapfly.io/docs/scrape-api/getting-started#api_param_cache) - cache successful responses to cut cost on repeat scraping jobs. - [Python](https://scrapfly.io/docs/sdk/python), [TypeScript](https://scrapfly.io/docs/sdk/typescript), [Scrapy](https://scrapfly.io/docs/sdk/scrapy), and [no-code integrations](https://scrapfly.io/docs/integration/getting-started) including [Make](https://scrapfly.io/integration/make), [n8n](https://scrapfly.io/integration/n8n), [Zapier](https://scrapfly.io/integration/zapier), [LangChain](https://scrapfly.io/integration/langchain), and [LlamaIndex](https://scrapfly.io/integration/llamaindex). ### Power your scraping with Scrapfly Forget about getting blocked. Scrapfly handles anti-bot bypasses, browser rendering, and proxy rotation so you can focus on the data. [Try for FREE!](https://scrapfly.io/register) ## FAQ What's the best Facebook Marketplace scraper on GitHub?For production data without a Facebook login, use Scrapfly's open-source `facebook-scraper`; for deal alerts, AI Marketplace Monitor; for a tested Python library, danyk20's scraper. Check last-commit dates first, since most repos in this niche are dead. Is there an official Facebook Marketplace API?No public one. Meta's [Graph API](https://developers.facebook.com/docs/graph-api/) does not expose public Marketplace listings, which is why scraping repos exist in the first place. Can I scrape Facebook Marketplace without a Facebook account?Not with a plain browser anymore. As of mid-2026, Marketplace search redirects logged-out visitors to login, so a managed-API approach that reads public listing data is the main no-login path. Can my Facebook account get banned for scraping Marketplace?Yes. Running automation on a logged-in account violates Facebook's Terms of Service and can trigger temporary or permanent restrictions. Several repo READMEs warn about exactly this. Is it legal to scrape Facebook Marketplace?Scraping publicly available listing data is generally permissible in many jurisdictions, but it can violate Facebook's Terms of Service, and personal data deserves special care. This is not legal advice. ## Summary In this niche, freshness beats stars. The famous repos are archived, and the working ones are young, small, and honest about needing a login. Check the last-commit date before you clone anything, and read the login model as carefully as the feature list. Match the tool to the job. Use a monitor for alerts, a tested library for integration, a stealth CLI for ad-hoc pulls, and managed-API-backed code for production data. A sensible path starts with a maintained independent repo for small logged-in pulls. Move to the no-login managed route when account risk or scale becomes the bottleneck. If you want the production path, Scrapfly's open-source `facebook-scraper` plus the Web Scraping API free trial is one solid option. It sits inside the wider world of [social media scraping](https://scrapfly.io/blog/posts/social-media-scraping) tools worth knowing. Legal Disclaimer and PrecautionsThis tutorial covers popular web scraping techniques for education. Interacting with public servers requires diligence and respect: - Do not scrape at rates that could damage the website. - Do not scrape data that's not available publicly. - Do not store PII of EU citizens protected by GDPR. - Do not repurpose *entire* public datasets which can be illegal in some countries. Scrapfly does not offer legal advice but these are good general rules to follow. For more you should consult a lawyer. [ Add as a preferred source ](https://google.com/preferences/source?q=scrapfly.io) Table of Contents Table of Contents- [Key Takeaways](#key-takeaways) - [Which Open-Source Facebook Marketplace Scraper on GitHub Should You Use?](#which-open-source-facebook-marketplace-scraper-on-github-should-you-use) - [How Did We Rank These Facebook Marketplace Scraper Repos?](#how-did-we-rank-these-facebook-marketplace-scraper-repos) - [1. Scrapfly facebook-scraper: Best for Production Marketplace Data Without a Facebook Login](#1-scrapfly-facebook-scraper-best-for-production-marketplace-data-without-a-facebook-login) - [2. AI Marketplace Monitor: Best for Automated Deal Alerts with AI Filtering](#2-ai-marketplace-monitor-best-for-automated-deal-alerts-with-ai-filtering) - [3. danyk20/facebook-marketplace-scraper: Best Tested pip-Installable Marketplace Library](#3-danyk20-facebook-marketplace-scraper-best-tested-pip-installable-marketplace-library) - [4. hyuwowo/fb-marketplace-scraper: Best Stealth CLI for Search Plus Listing Details](#4-hyuwowo-fb-marketplace-scraper-best-stealth-cli-for-search-plus-listing-details) - [5. OpenClaw Facebook Marketplace Scraper: Best Minimal Single-File Scraper to Hack On](#5-openclaw-facebook-marketplace-scraper-best-minimal-single-file-scraper-to-hack-on) - [Can You Scrape Facebook Marketplace Without Logging In?](#can-you-scrape-facebook-marketplace-without-logging-in) - [Prefer to Build Your Own? Frameworks for Marketplace Scraping on GitHub](#prefer-to-build-your-own-frameworks-for-marketplace-scraping-on-github) - [Which Facebook Marketplace Scrapers Should You Avoid?](#which-facebook-marketplace-scrapers-should-you-avoid) - [Why Do Facebook Marketplace Scrapers Keep Breaking?](#why-do-facebook-marketplace-scrapers-keep-breaking) - [Power Your Facebook Marketplace Scraper With Scrapfly](#power-your-facebook-marketplace-scraper-with-scrapfly) - [FAQ](#faq) - [Summary](#summary) Join the Newsletter Get monthly web scraping insights Scale Your Web Scraping Anti-bot bypass, browser rendering, and rotating proxies, all in one API. Start with 1,000 free credits. No credit card required 1,000 free API credits Anti-bot bypass included [Start Free](https://scrapfly.io/register) [View Docs](https://scrapfly.io/docs/onboarding) Not ready? 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