Sahibinden Listings Scraper

Scrape Sahibinden.com listings by category, city or keyword and export listing IDs, titles, categories, cities and full photo galleries to CSV, JSON or Excel. This is a Sahibinden API alternative for the second-hand shopping, spare parts, animals, machinery, jobs and private lesson sections, built on the sitemap data Sahibinden itself publishes.

Read the Limits section before you buy results: this actor does not return prices, descriptions, real-estate listings or vehicle listings, because the public data source behind it does not contain them.

What data can you extract from Sahibinden?

Each result is one listing taken from the public image sitemap. All fields are flat and use camelCase.

Field	Description	Example
listingId	Numeric Sahibinden listing ID	1344633882
url	Direct link to the listing	https://www.sahibinden.com/ilan/hayvanlar-alemi-kumes-hayvanlari-guvercin-sari-portakal-1344633882/detay
title	Title written by the seller	sarı portakal
category	Top-level category, in English	Animals
categorySlug	Full category path as it appears in the URL	hayvanlar-alemi-kumes-hayvanlari-guvercin
city	City of the listing	İstanbul
country	Always Türkiye	Türkiye
image	First photo URL	https://image5.sahibinden.com/photos/63/38/82/1344633882vz0.jpg
images	All photo URLs of the listing	list of URLs
imageCount	Number of photos	10
sourceUrl	The input URL or keyword that matched the listing	https://www.sahibinden.com/hayvanlar-alemi/istanbul

Fields that are never filled, because the source does not publish them: price, currency, description, district, seller type, listing date and listing attributes. They are not in the output at all, so you never receive empty placeholder columns.

How to scrape Sahibinden

1. Paste one or more Sahibinden category or search URLs into Category or search URLs, for example https://www.sahibinden.com/cep-telefonu. You can also type words into Keywords.
2. Set Maximum listings to the number of results you want. The limit is split fairly between your inputs.
3. Optionally raise Sitemap files to scan if a narrow search returns fewer results than you expect.
4. Click Start, then download the dataset as JSON, CSV, Excel, XML or HTML.

The actor reads the words in each URL path (or in the query_text parameter of search URLs) and returns listings whose URL, title, category or city contain all of those words. Turkish letters are optional: istanbul matches İstanbul.

Input

Name	Type	Default	Description
startUrls	array of strings	cep-telefonu and hayvanlar-alemi/istanbul	Sahibinden category or search URLs. Words in the path or in query_text select listings.
keywords	array of strings	empty	Extra searches. All words in one entry must match.
maxItems	integer	100	Maximum listings across all inputs. 0 means no cap.
maxShards	integer	12	Sitemap files to scan, 1 to 170. Each holds about 2,800 recent listings.
proxyConfiguration	object	Apify Proxy	Proxy settings. Turkish residential proxy is used automatically when needed.

Example input:

{
  "startUrls": [
    "https://www.sahibinden.com/cep-telefonu",
    "https://www.sahibinden.com/hayvanlar-alemi/istanbul"
  ],
  "keywords": ["iphone 12"],
  "maxItems": 200,
  "maxShards": 12
}

Output example

A real item from a test run (photo list shortened):

{
  "listingId": "1344633882",
  "url": "https://www.sahibinden.com/ilan/hayvanlar-alemi-kumes-hayvanlari-guvercin-sari-portakal-1344633882/detay",
  "title": "sarı portakal",
  "category": "Animals",
  "categorySlug": "hayvanlar-alemi-kumes-hayvanlari-guvercin",
  "city": "İstanbul",
  "country": "Türkiye",
  "image": "https://image5.sahibinden.com/photos/63/38/82/1344633882vz0.jpg",
  "images": [
    "https://image5.sahibinden.com/photos/63/38/82/1344633882vz0.jpg",
    "https://image5.sahibinden.com/photos/63/38/82/1344633882jo3.jpg"
  ],
  "imageCount": 10,
  "sourceUrl": "https://www.sahibinden.com/hayvanlar-alemi/istanbul"
}

Which Sahibinden categories are covered?

In the sitemap data we inspected, listings fall into these top-level categories. The category field uses the English label, and categorySlug keeps the original Turkish path so you can filter precisely.

category value	URL prefix in categorySlug	What it contains
Second-hand & New Shopping	ikinci-el-ve-sifir-alisveris	Phones, computers, home goods, clothing, hobby items, collectibles, building supplies
Spare Parts, Accessories & Tuning	yedek-parca-aksesuar-donanim-tuning	Car parts, tyres and rims, accessories, tuning equipment
Animals	hayvanlar-alemi	Poultry, small and large livestock, pets, aquarium items, pet accessories
Industrial & Heavy Machinery	is-makineleri-sanayi	Construction machines, industrial equipment
Jobs	is-ilanlari	Job advertisements
Private Lessons	ozel-ders-verenler	Tutoring and lesson offers
Home Help	yardimci-arayanlar	Home help wanted

In one sitemap file of 2,814 listings, about 66 percent were second-hand shopping, 26 percent spare parts, 5 percent animals and 3 percent machinery, so shopping and parts searches fill quickly while jobs, lessons and home help are rare. Treat these shares as a snapshot, because they change between files and days.

How matching works

Every input is turned into a list of lowercase words without Turkish accents. The URL https://www.sahibinden.com/hayvanlar-alemi/istanbul becomes hayvanlar, alemi, istanbul. A listing is returned when every word appears in its URL slug, its title or its city. This is why a city name placed in the path works as a filter, and why a keyword such as iphone 12 finds titles that mention both words.

Short words of two characters or fewer are ignored, as are navigation words such as kategori and arama. If an input contains no usable words, for example a bare homepage URL, it is skipped and the run continues with your other inputs.

When several inputs are given, the cap in Maximum listings is divided between them so that a broad input cannot crowd out a narrow one. A listing that matches more than one input is credited to the first matching input and returned only once.

Practical examples

• One city, one category: https://www.sahibinden.com/yedek-parca-aksesuar-donanim-tuning/ankara returns recent spare-parts ads from Ankara.
• Brand watch: put bmw and opel corsa in Keywords to track parts listings that mention those names.
• Market sizing: set Maximum listings to 0, raise Sitemap files to scan to 170 and group the result by category and city to see the distribution of the whole recent inventory. This downloads the full image sitemap, so expect hundreds of megabytes of proxy traffic.
• Photo collection: keep only items where imageCount is 5 or more to get listings with complete galleries.

Data quality notes

Titles are written by sellers, so they contain typos, phone-number-like text, capital letters and promotional words. Cities use the Turkish spelling from the sitemap, for example İstanbul, İzmir and Tekirdağ. Photo URLs point to Sahibinden's image servers and can stop working when a listing is removed. Listing IDs are unique and increase over time, so a higher ID usually means a newer ad, which is a convenient way to detect new listings between two scheduled runs.

Use cases

• Market monitoring: count how many new listings appear per category and city each day, for example phones in Istanbul or used machinery in Konya.
• Supply research for resellers: see which product types and cities have the most fresh inventory before you decide what to source.
• Image datasets: collect complete photo galleries of second-hand goods by category for classification or visual search research, respecting the rights of the photographers.
• Lead lists of listing URLs: build a link list of a niche (for example spare parts for one car brand) and review the listings manually or in your own tools.
• Category and geography analytics: compare the share of listings per top-level category and per city over time by scheduling the actor.
• Content moderation and brand protection: search for your brand name in listing titles and review the matching ads.

How much does it cost to scrape Sahibinden?

The actor uses pay-per-result pricing, and Apify platform usage is included in the price. The Store page shows the current rate per 1,000 results. The examples below use an illustrative rate of 2.00 USD per 1,000 results; multiply by the real rate you see.

• 100 listings: 0.20 USD
• 1,000 listings: 2.00 USD
• 5,000 listings: 10.00 USD

Cost is driven by results, not by how many sitemap files are scanned. A test run that scanned 8 sitemap files and returned 60 listings finished in about 20 seconds.

Tips for best results

• Use specific words. cep-telefonu is broad; iphone 12 in Keywords is narrow.
• Add a city to a category URL (/hayvanlar-alemi/istanbul) to restrict the results to that city.
• Rare searches need more sitemap files. If you get fewer results than your limit, raise maxShards. Each file adds a few MB of proxy traffic and a few seconds.
• Run the actor on a schedule to build up a history, because the sitemap contains the most recent listings, not the whole archive.
• Deduplication is automatic: a listing is returned once even when several of your inputs match it.
• Keep maxItems realistic. The data source holds a rolling window of recent listings, not every ad ever posted.

Limits

Be aware of these before you start.

• No prices. Sahibinden does not publish prices in any file reachable without a browser session, and listing pages are protected by Cloudflare, which returned 403 in our tests even through a browser and a Turkish residential proxy.
• No real estate and no vehicles. The listing sitemaps contain shopping, spare parts, animals, machinery, jobs and private lessons, but no real-estate or car listings. A URL such as /satilik-daire/istanbul will therefore return nothing.
• No description, seller type, district, date or attributes, for the same reason.
• Titles come from the photo caption in the sitemap. If a listing has no caption, the title is rebuilt from the URL.
• The data is a rolling set of recent listings. Old or deleted ads may be absent, and listings can disappear between runs.
• Matching is word-based. A category URL is converted into words, so uncommon category slugs may match fewer listings than the website shows.
• Phone numbers and other personal contact data are never collected.

Use with AI agents (MCP)

Add this actor to any MCP client (Claude, Cursor, VS Code, n8n...) with one URL:

https://mcp.apify.com?tools=mlg14/sahibinden-scraper

The actor returns one flat record per listing (ID, title, category, city, photo URLs, listing URL). It does not return prices, real-estate or vehicle ads. Set maxItems to keep results bounded.

Prompt 1: "Find 30 recent iPhone listings on Sahibinden."

{
  "startUrls": [
    "https://www.sahibinden.com/cep-telefonu"
  ],
  "keywords": [
    "iphone"
  ],
  "maxItems": 30,
  "maxShards": 8
}

Prompt 2: "List 30 animal listings in Istanbul on Sahibinden."

{
  "startUrls": [
    "https://www.sahibinden.com/hayvanlar-alemi/istanbul"
  ],
  "maxItems": 30,
  "maxShards": 8
}

Prompt 3: "Search Sahibinden for forklift listings and return 30 of them."

{
  "keywords": [
    "forklift"
  ],
  "maxItems": 30,
  "maxShards": 8
}

FAQ

Is it legal to scrape Sahibinden? The actor only reads sitemap files that Sahibinden publishes for search engines and returns public listing information. You remain responsible for complying with Sahibinden's terms, copyright on photos and data-protection law such as KVKK and GDPR. Do not use the data to contact or profile private individuals.

Do I need proxies? The actor handles this for you. It starts with a normal connection and switches to a Turkish residential proxy if the site blocks the request.

How fast is it? Each sitemap file takes a few seconds. A typical run of 100 to 500 listings finishes in under a minute.

Can I schedule it or monitor changes? Yes. Use Apify schedules to run it hourly or daily and compare listing IDs between runs to find new ads.

Can I export to Google Sheets or Excel? Yes. The dataset downloads as CSV, Excel and JSON, and the Google Sheets integration can append each run.

What if a field is empty? Only city, image and category can be missing for a few listings. Fields that the source never provides, such as price, are not part of the output.

Why are there no real-estate or car listings? Sahibinden does not include them in its public listing sitemaps, and the website pages that show them are not reachable. If that changes, fields will be added.

Can I get the listing price some other way? Not from this actor. Open the url of a listing in your browser to see the price, or combine the exported IDs with your own manual review.

Integrations

Run the actor from the Apify API, with webhooks when a run finishes, or from Zapier, Make and n8n. Send results to Google Sheets, Airtable, Slack or your own database, and use Apify schedules for recurring monitoring.

Support

Open an issue on the Issues tab; we reply within 24h and add fields on request.