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OLX.pl Listings Scraper

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from $3.00 / 1,000 dataset items

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OLX.pl Listings Scraper

OLX.pl Listings Scraper

Scrape OLX.pl listings at scale — price, description, location with GPS, attributes, photos, seller info and delivery — from any keyword, category or URL. Optional phone reveal. Reliable official-API source, structured JSON. Pay only for the results you get.

Pricing

from $3.00 / 1,000 dataset items

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axly

axly

Maintained by Community

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1

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2 days ago

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Extract structured data from OLX.pl, Poland's largest classifieds marketplace, by keyword, category, or pasted URL. Every listing comes back as clean JSON — price, full description, location with GPS coordinates, all category attributes, photos, seller info and OLX-delivery status — pulled straight from OLX's official mobile backend, so it's fast and reliable (no anti-bot breakage).

Great for building price datasets, monitoring the market, feeding an app, or generating seller leads.

Who uses this

  • Developers & SaaS teams — a stable, documented JSON schema and a reliable source to power apps, price comparison, or internal tools.
  • Investors & market analysts — price, price-per-m² inputs, location + GPS and listing freshness for pricing models and trend analysis.
  • Resellers & arbitrage — track prices and spot new listings per category/city on a schedule.
  • Researchers — structured marketplace data for analysis, exportable to CSV, JSON, or Excel.

What you get — output fields

FieldTypeDescription
idintegerOLX listing id
urlstringCanonical listing URL
titlestringListing title
descriptionstringFull listing description
priceAmountnumberPrice value
priceCurrencystringCurrency (PLN)
priceLabelstringFormatted price, e.g. "48 900 zł"
priceNegotiablebooleanWhether the price is negotiable
categoryId / categoryTypeinteger / stringCategory id and type
city / region / districtstringLocation names
cityIdintegerOLX city id
latitude / longitudenumberApproximate GPS coordinates
paramsobjectAll typed attributes (e.g. year, mileage, m², rooms, brand, condition)
photosarrayFull-size photo URLs
photosCountintegerNumber of photos
sellerId / sellerUuidinteger / stringSeller identifiers
sellerNamestringSeller display name
sellerTypestringprivate or business
sellerCompanyNamestringCompany name (business sellers)
sellerSincestringSeller registration date
isBusinessbooleanBusiness seller flag
hasDeliverybooleanOLX delivery available
canChat / hasPhonebooleanContact options available
phonearrayRevealed phone number(s) — when "Reveal seller phone numbers" is on
createdAt / validTo / lastRefreshAtstringListing timestamps
scrapedAtstringISO-8601 scrape time

High-value use cases

  1. Price intelligence — pull every listing for a make/model or category in a city and compute average/median price, distribution, and per-m² for real estate.
  2. New-listing alerts — schedule the actor sorted by newest and push fresh listings to Slack, a webhook, or your CRM.
  3. Competitor & inventory tracking — monitor a category or business seller's catalogue over time.
  4. Lead sourcing — enable phone reveal to collect seller contacts for a category and region (for deeper business/company data, see our OLX.pl Seller Leads actor).
  5. Market research datasets — export structured OLX data to CSV/Excel for analysis.

Input parameters

FieldTypeDefaultDescription
searchQuerystringKeywords to search.
startUrlsarrayOLX category/search URLs (resolved automatically).
categoryIdintegerOLX category id (cars=84, flats=15, phones=1838…).
locationQuerystringCity/district name (auto-resolved to ids).
regionId/cityId/districtIdintegerExplicit location ids.
distanceintegerRadius (km) around the city.
ownerTypeenumanyany / private / business.
priceMin/priceMaxintegerPrice range (PLN).
sortByenumnewestnewest / price asc / price desc / relevance.
filtersobject{}Advanced raw OLX filters.
includePhonebooleanfalseReveal seller phone per listing.
engineenumgraphqlgraphql (rich) or rest (light).
maxItemsinteger100Max listings (OLX caps deep paging at ~1000/search).
proxyConfigurationobjectoffOptional; the API works proxy-free.

Example input

{
"searchQuery": "iphone 15",
"categoryId": 1838,
"ownerType": "any",
"sortBy": "newest",
"includePhone": false,
"maxItems": 100
}

Example output row

{
"id": 1087346487,
"url": "https://www.olx.pl/d/oferta/bmw-seri-5-f11-3-0d-...html",
"title": "BMW SERI 5 F11 3.0D",
"priceAmount": 48900,
"priceCurrency": "PLN",
"priceLabel": "48 900 zł",
"priceNegotiable": true,
"categoryId": 183,
"categoryType": "automotive",
"city": "Bytom",
"region": "Śląskie",
"latitude": 50.34938,
"longitude": 18.91962,
"params": { "model": "Seria 5", "year": "2011", "petrol": "Diesel", "condition": "Nieuszkodzony" },
"photos": ["https://ireland.apollo.olxcdn.com/v1/files/xxx-PL/image;s=1000x0"],
"sellerType": "business",
"sellerName": "ADAM",
"createdAt": "2026-07-20T10:00:00+02:00",
"scrapedAt": "2026-07-30T09:00:00Z"
}

Scheduling & integrations

Run on a schedule (e.g. hourly for new listings) from the Apify console. Pipe results to Google Sheets, Make, Zapier, Slack, or Amazon S3, or receive a webhook when a run finishes. Every dataset is downloadable as JSON, CSV, Excel, or XML, and reachable through the Apify API.

Use it from an AI assistant (MCP)

This actor works with the Apify MCP server, so AI assistants (Claude, ChatGPT, and other MCP clients) can call it as a tool — ask your agent to "scrape OLX.pl listings for X" and it can run this actor and read the results directly.

FAQ

Is there a result limit? OLX caps deep pagination at ~1,000 results per search. Split large jobs by category, city, or price band to go beyond that.

How fresh is the data? Every run fetches live data directly from OLX in real time.

Do I need a proxy or login? No. The actor uses OLX's open API and needs neither. A proxy is optional for very high volume.

Can I get seller phone numbers? Yes — enable "Reveal seller phone numbers". Some sellers hide their number; those rows return an empty list.

Is scraping OLX legal? The actor collects only publicly available listing data. You are responsible for using the data in line with OLX's terms and applicable law (including GDPR for any personal data).

What if a run fails? Runtime errors are reported automatically and the run fails loudly with a clear message. Reach out via the Issues tab for support.