OLX Brazil Scraper

Pull classifieds from OLX Brazil at scale — every title, price in Brazilian Reais, photos, seller details, neighbourhood, CEP postal code, and listing timestamp from Brazil's largest classifieds marketplace. Built for real-estate aggregators, price-arbitrage resellers, lead-generation teams, and Brazilian-market analysts who need fresh OLX data without juggling regional subdomains or building their own pipeline.

Why This Scraper?

• All 27 Brazilian states, strict-validated — every official UF code (AC through TO) is supported as a path-segment filter; invalid codes get an actionable error instead of silent all-Brazil results.
• Four sort orders applied at the source — Most Relevant, Newest First, Price: Low to High, and Price: High to Low — encoded into the OLX query itself so paging order is consistent.
• Native min/max price filter in Brazilian Reais — clamps results at OLX's own query layer; no wasted rows on out-of-budget ads.
• Business-only toggle for B2B prospecting — isolate professional sellers (lojas e profissionais) and exclude private individuals in one click.
• Opt-in deep records: full description, seller name and CEP postal code — the three fields OLX publishes only on a listing's own page. Off by default and priced separately, so browse-only runs never pay for them.
• URL passthrough plus plain-text queries in one run — paste any olx.com.br URL (search, category, or state path like /imoveis/venda/estado-sp) and mix it with keyword searches; results are combined and de-duplicated by listing ID.
• High-fidelity records straight from OLX's own data layer — every field matches what the OLX product page shows, with prices parsed to integers + currency code and timestamps emitted as ISO 8601 plus epoch seconds.
• Up to 5,000 listings per search URL — the actor walks OLX's paging ceiling, detects the server-side clamp, and surfaces a friendly "split by state or category" hint when you hit it.
• Actionable zero-result hint — when a filter combo returns nothing, the run reports the exact keyword, state, and price range you used so you can adjust without guessing.

Use Cases

Real Estate Market Research

• Track apartment and house inventory across São Paulo, Rio de Janeiro, and Minas Gerais
• Compare median asking prices by state, city, and neighbourhood
• Spot new construction launches by sorting "Newest First"
• Map regional price compression by combining imoveis URLs across UF codes

Property & Auto Lead Generation

• Build prospect lists of business sellers (includeBusinessOnly: true) — auto dealerships, real-estate agencies, and electronics resellers
• Capture seller name and phone-availability flag for every active listing
• Target one state at a time with state: "SP" for regional sales teams

Price Intelligence for Resale

• Monitor iPhone, PlayStation, and laptop pricing in BRL across the country
• Identify under-priced listings with a tight maxPrice cap
• Compare private-seller vs. business-seller pricing on the same model

Cross-Border Investment Scouting

• Surface vacation rentals and second homes in Florianópolis, Búzios, or Trancoso
• Quantify entry prices for foreign buyers exploring the Brazilian market
• Track price-history shifts week-over-week by re-running the same URL

Demand & Category Trend Tracking

• Map listing volume by category across imoveis, autos-e-pecas, eletronicos-e-celulares, and more
• Detect seasonal spikes in regional categories (air conditioners in summer, heaters in winter)
• Feed time-series dashboards with postedAt ISO timestamps

Data Enrichment & Aggregation

• Augment internal CRMs with current OLX prices and photos
• Power classifieds aggregators that compete with OLX-only feeds
• Build alerting systems for new listings under a price threshold

Getting Started

Search by URL

The simplest possible run — paste any olx.com.br URL with your filters already applied:

{
    "searchUrls": ["https://www.olx.com.br/imoveis/venda/estado-sp"],
    "maxResults": 100
}

Plain-Text Search with State Filter

Run a keyword across one Brazilian state and sort by newest first:

{
    "searchQueries": ["iPhone 13"],
    "state": "RJ",
    "sortBy": "newest",
    "maxResults": 200
}

Price-Filtered Business Listings

Find apartments under R$500,000 from business sellers only, sorted cheapest first:

{
    "searchUrls": ["https://www.olx.com.br/imoveis/venda/estado-mg"],
    "minPrice": 100000,
    "maxPrice": 500000,
    "sortBy": "price_asc",
    "includeBusinessOnly": true,
    "maxResults": 500
}

Combined Multi-Source Run with Full Enrichment

Mix multiple URLs and keyword queries, pull descriptions, seller names, and CEPs:

{
    "searchUrls": [
        "https://www.olx.com.br/autos-e-pecas/carros-vans-e-utilitarios/estado-sp",
        "https://www.olx.com.br/autos-e-pecas/carros-vans-e-utilitarios/estado-rj"
    ],
    "searchQueries": ["Honda Civic", "Toyota Corolla"],
    "state": "SP",
    "minPrice": 30000,
    "maxPrice": 80000,
    "sortBy": "price_asc",
    "enrichDetails": true,
    "maxResults": 1000
}

Input Reference

What to Scrape

Parameter	Type	Default	Description
searchUrls	string[]	["https://www.olx.com.br/imoveis/venda/estado-sp"]	Paste one or more OLX Brazil URLs. Search pages, category pages, and state path URLs (/imoveis/venda/estado-sp) are all supported.
searchQueries	string[]	[]	Plain-text search terms — for example iPhone 13, Gol G5, or Apartamento. Each query runs on OLX Brazil and returns matching listings.

Options

Parameter	Type	Default	Description
maxResults	integer	100	Maximum number of listings to collect across all URLs and queries. Set to 0 for unlimited (capped internally at 50,000). OLX itself limits results to roughly 5,000 listings per search URL — split larger queries by state or category to scale beyond that.
sortBy	select	Most Relevant	Order in which listings are collected. Options: Most Relevant, Newest First, Price: Low to High, Price: High to Low. If a Search URL already specifies a sort order, that URL's sort wins and this setting is ignored for it.

Filters

Parameter	Type	Default	Description
state	select	(any)	Restrict plain-text Search Queries to one of the 27 Brazilian states by UF code (e.g. SP, RJ, MG). Search URLs already carry their own state and take precedence.
minPrice	integer	(none)	Only include listings priced at or above this amount in Brazilian Reais. Applied at OLX's native query layer.
maxPrice	integer	(none)	Only include listings priced at or below this amount in Brazilian Reais. Applied at OLX's native query layer.
includeBusinessOnly	boolean	false	When enabled, only include ads posted by business sellers (lojas / profissionais) and exclude private individuals.
enrichDetails	boolean	false	Turn on to also collect each listing's full description, seller name and CEP postal code. These listings are billed at the higher enriched rate (see Pricing), and only when the details are actually found.

Output

Every row is a single OLX listing with prices in BRL, photos, seller details, and posting timestamps. Here is a representative result with enrichDetails turned on:

{
    "listingId": "1419837622",
    "title": "Apartamento 2 quartos no Centro de São Paulo",
    "description": "Apartamento mobiliado, 2 quartos, 1 vaga de garagem, próximo ao metrô.\n\nÁrea: 65m². Sol da manhã. Aceita financiamento.",
    "url": "https://sp.olx.com.br/sao-paulo-e-regiao/imoveis/apartamento-2-quartos-centro-sp-1419837622",
    "price": 420000,
    "priceDisplay": "R$ 420.000",
    "currency": "BRL",
    "city": "São Paulo",
    "state": "SP",
    "neighborhood": "Centro",
    "locationDisplay": "São Paulo, SP",
    "zipcode": "01001000",
    "categoryId": "1020",
    "categoryName": "Apartamentos",
    "parentCategoryName": "Imóveis",
    "photos": [
        "https://img.olx.com.br/images/01/example1.jpg",
        "https://img.olx.com.br/images/02/example2.jpg"
    ],
    "thumbnailUrl": "https://img.olx.com.br/images/01/example1.jpg",
    "imageCount": 12,
    "videoCount": 0,
    "properties": [
        { "name": "Quartos", "value": "2" },
        { "name": "Área útil", "value": "65" }
    ],
    "seller": {
        "name": "Imobiliária Central",
        "type": "business",
        "id": "8472193",
        "phoneAvailable": true
    },
    "isBusiness": true,
    "isFeatured": false,
    "postedAt": "2026-05-12T14:22:00+00:00",
    "postedAtTimestamp": 1747059720,
    "lastBumpAgeSecs": 86400,
    "ddd": "11",
    "searchUrl": "https://www.olx.com.br/imoveis/venda/estado-sp",
    "searchQuery": null,
    "scrapedAt": "2026-05-16T10:30:00+00:00"
}

Core Fields

Field	Type	Description
listingId	string	Unique OLX listing identifier
title	string	Listing headline as shown on OLX
description	string	Full description text (populated when enrichDetails: true)
url	string	Direct OLX listing URL on the regional subdomain
categoryId	string	OLX category ID
categoryName	string	Category label (e.g. Apartamentos, Carros)
parentCategoryName	string	Top-level category (e.g. Imóveis, Autos e peças)
properties	object[]	Category-specific attributes (bedrooms, area, mileage, year, etc.)
isFeatured	boolean	Whether the ad was promoted to a featured slot
postedAt	string	ISO 8601 timestamp of when the ad was first listed
postedAtTimestamp	number	Epoch seconds of the post time
lastBumpAgeSecs	number	Seconds since the seller last bumped the listing
scrapedAt	string	ISO 8601 timestamp of data collection
searchUrl	string	The OLX URL this row came from
searchQuery	string	The plain-text query that produced this row, when applicable

Price

Field	Type	Description
price	number	Numeric price in Brazilian Reais (integer)
priceDisplay	string	Price as shown on OLX (e.g. R$ 420.000, À combinar)
currency	string	Always BRL

Location

Field	Type	Description
city	string	City name
state	string	Two-letter UF code (e.g. SP, RJ)
neighborhood	string	Neighbourhood name
locationDisplay	string	OLX's combined location string
zipcode	string	CEP postal code (populated when enrichDetails: true)
ddd	string	Brazilian area code for the listing region

Seller

Field	Type	Description
seller.name	string	Seller name (populated when enrichDetails: true)
seller.type	string	business for professional sellers, private for individuals
seller.id	string	OLX seller identifier
seller.phoneAvailable	boolean	Whether OLX exposes a contact method on the ad
seller.imageUrl	string	Seller avatar URL when available
isBusiness	boolean	Convenience flag mirroring seller.type == "business"

Photos

Field	Type	Description
photos	string[]	Every image URL on the listing in original resolution
thumbnailUrl	string	First image, suitable for previews
imageCount	number	Total number of listing photos
videoCount	number	Total number of attached videos

Tips for Best Results

• Start small. Set maxResults to 30–100 on your first run to verify the data matches your needs, then scale up.
• Use UF codes for state filtering. The state field accepts the 27 official two-letter codes — combine with broad keywords like apartamento or casa rather than long-tail terms; OLX matches fuzzily and tight phrases drop too many real ads.
• Native price filters are free. Setting minPrice and maxPrice filters at the OLX query layer, so you never pay for listings outside your budget. Prefer this over post-filtering in your own pipeline.
• Leave enrichDetails off unless you need the description text. Title, price, photos, location, category and seller type all come from the search results at the standard rate. Only switch it on when full descriptions, seller names or postal codes are genuinely part of your workflow — those runs are billed at the higher enriched rate and take longer.
• Pageable ceiling is ~5,000 per URL. If you need every apartment in São Paulo state, split the run by city URLs or category sub-paths instead of one mega query — the actor will surface a friendly message when it hits the cap.
• Mix URLs and keyword queries in one run. You can paste category URLs from olx.com.br and add free-text queries together; results are de-duplicated by listing ID so there are no double-counts.
• Many sources are processed sequentially. Adding many URLs queues them one after another with a short pause between each — useful if you want predictable ordering, but for very large batches consider grouping by category instead of pasting dozens of individual URLs.
• For listings under a tight budget, set maxPrice rather than trusting sort. OLX's "Price: Low to High" order is not strictly ascending — combine sortBy: "price_asc" with maxPrice for the cleanest cheap-end sweep.

Pricing

$1.00 per 1,000 listings — pay per result. You only pay for listings actually returned to your dataset.

Listings	Estimated Cost
100	$0.10
1,000	$1.00
10,000	$10.00
100,000	$100.00

Optional: full descriptions, seller names and postal codes

Descriptions, seller names and CEP postal codes are the one thing OLX keeps off its search pages — each listing has to be opened individually to read them. That extra work is priced separately, so you never subsidise it when you don't need it:

What you collect	Price per 1,000
Standard listing (title, price, photos, location, category, seller type)	$1.00
Listing plus full description, seller name and postal code	$2.80

Turn it on with Add Full Description, Seller Name & Postal Code in the input. It's off by default, and you're only charged the higher rate for listings that actually come back with those details — if OLX doesn't serve them for a listing, you pay the standard rate.

No compute or time-based charges. A "result" is any listing row in the output dataset. Platform fees (storage, optional bandwidth) are additional and depend on your Apify plan.

Integrations

Export data in JSON, CSV, Excel, XML, or RSS. Connect to 1,500+ apps via:

• Zapier / Make / n8n — Workflow automation
• Google Sheets — Direct spreadsheet export
• Slack / Email — Notifications on new results
• Webhooks — Trigger custom APIs on run completion
• Apify API — Full programmatic access via SDK or REST

Legal & Ethical Use

This actor is designed for legitimate market research, price intelligence, lead generation, and data aggregation. Users are responsible for complying with applicable Brazilian and international laws and OLX Brazil's terms of service, including making reasonable-rate requests and only collecting publicly accessible classified-ad data. Do not use extracted data for spam, harassment, fraud, or any illegal purpose. Be mindful of the LGPD (Lei Geral de Proteção de Dados) when handling any personal information that appears in seller profiles.