Pull Title, Price, and Condition from OLX Listings in Any Country
Most OLX scrapers target one country's site and break when its HTML changes — this reads listing screenshots from Brazil, India, Poland, and 40+ other OLX markets in under 10 seconds.
5-10s per screenshot · Any currency normalized · Up to 99% accuracy
Six Listing Fields You Can Pull from Any OLX Screenshot
OLX runs 40+ country sites, each with its own localized field labels — the same listing data appears as "Estado: Usado" in Brazil, "Condition: Used" in India, and "Stan: Używane" in Poland. With Custom Column Extraction, the AI identifies each field by meaning — the bold headline is the title, the amount next to the currency symbol is the price — so one column set works for every market.
The bold headline — "Título" in Brazil, "Title" in India — and the largest text on the listing page.
Asking price with currency — "R$ 89.990" on olx.com.br, "₹ 45,000" on olx.in, "1.500 zł" on olx.pl — normalized per market's number format.
"Estado: Usado" (Brazil), "Condition: Used" (India), "Stan: Używane" (Poland) — all map to the same Condition column.
The plain-text paragraph — where sellers often embed their phone number or WhatsApp contact alongside category details.
"Localização" (Brazil), "Lokalizacja" (Poland) — city and state or district shown in the listing info bar.
"Anunciada em" (Brazil), "Ogłoszenie z dnia" (Poland) — absolute dates and relative stamps like "Hoje, 17:00" are normalized.
Type these as column names in English or in the listing's own language. The AI reads each field by semantic role across all OLX markets.
One Platform, 40+ Localized UIs — Why OLX Screenshots Need Semantic Reading
OLX operates in more than 40 countries, and each site localizes the UI: currency, field labels, and layout all change between markets. A listing in OLX Brazil (R$, "Estado: Usado", Portuguese labels) looks nothing like one in OLX India (₹, "Condition: Used", English and Hindi labels) — even though the underlying information is the same. And the record is fragile in every market: sellers report that after a sale is confirmed, "the listing remains visible on the site", so a live page can't tell you what's actually still available. Here is why the usual tools fail at this — and how semantic reading doesn't.
Why OLX Screenshots Break Template and Selector Tools
Same platform, 40+ different layouts. A template or CSS selector built for olx.com.br has no idea what to do with olx.in — the field labels, currency, and DOM are all localized. The scraping ecosystem itself ships a separate scraper per country, which is the market's own admission that no single rule spans OLX.
Number format follows the market. "R$ 89.990" uses a dot as the thousands separator; "1.500 zł" uses a comma. A scraper that hardcodes one convention misreads every other market by a factor of a thousand.
The listing page is not the whole record. Price negotiation happens in OLX chat or WhatsApp — sellers regularly move the conversation off-platform — so the listing screenshot is often the only record of the original asking price. Scrapers can't read a screenshot at all, and a deleted or sold listing has no live page to scrape.
How Semantic Extraction Reads Each Field by Meaning
Name the fields once — the AI maps every market. Type Item Name, Price, Condition, Location, Posted Time. The visual model understands that "Estado: Usado", "Condition: Used", and "Stan: Używane" all describe the same semantic field, wherever they sit in each layout.
Currency-aware normalization. The AI reads the currency symbol and interprets the number format correctly per market: R$ 89.990 becomes 89990.00 with currency BRL, 1.500 zł becomes 1500.00 with currency PLN. Raw text stays in a parallel column for verification.
Screenshot-first capture. Whatever is on screen — the listing page, or a chat message with a negotiated price — becomes a row. If the listing is deleted tomorrow, the screenshot you already took still produces its data.
From OLX Screenshots in Three Countries to One Consolidated Listing Sheet
If you track listings across markets — comparing a phone listed in São Paulo with one in Warsaw — here is how one batch turns captures from every OLX site into a single spreadsheet.
Upload Screenshots from Any OLX Market
Drop in the listing captures from your camera roll — olx.com.br pages with "R$" prices and "Estado" badges, olx.in pages with "₹" and "Condition", olx.pl pages with "zł" and "Stan". PNG, JPG, or WebP, mixed in one batch. No need to sort by country first.
Define One Set of Columns for All of Them
Type the columns your tracking sheet needs once: Item Name, Price, Condition, Location, Posted Time, Description. The AI reads each screenshot by semantic role — it doesn't matter whether the price sits next to "Preço" or "Price". Fields a screenshot doesn't show stay blank; no placeholder values.
Export One Spreadsheet, Currency Included
Processing takes 5-10 seconds per screenshot — about 18x faster than opening each image and typing the fields by hand. The output is a single XLSX or CSV where every row is one listing and the Price column carries both the normalized number and its currency code:
| Item Name | Price | Condition | Location |
|---|---|---|---|
| iPhone 13 128GB | 2.599,00 (BRL) | Usado | São Paulo - SP |
| Royal Enfield Classic 350 | 145000.00 (INR) | Used | Bengaluru |
| Sofa 3-osobowy narożny | 950.00 (PLN) | Używane | Warszawa |
Three countries, three layouts, three languages — one column definition and one table.
Where OLX Screenshot Extraction Works Best — and Where to Be Careful
When It Works Best
Full-resolution screenshots of listing detail pages. High-contrast, machine-rendered text from the OLX app or mobile browser reaches up to 99% accuracy for fields like Title and Price.
Mixed-country batches. Brazilian, Indian, and Polish captures processed together with a single column definition — the semantic model handles all localized labels at once.
Standard listing fields. When the screenshot contains the title, price, condition, and location in their usual layout zones, all six defined fields are extracted.
When to Be Cautious
Screenshots forwarded through messaging apps. WhatsApp and Telegram compress images, reducing accuracy for smaller text like Posted Time and the Condition badge. Use native screenshots for best results.
Cropped captures missing the price or title zone. If the listing page is only partially captured, the AI cannot fill the fields that fell outside the frame.
A screenshot only captures what was on screen. The tool does not log into OLX, refresh a listing, or recover a chat-negotiated price that was never on the page you captured — screenshot the chat too if the final price matters.
Frequently Asked Questions
Can I extract data from OLX Brazil (R$, "Estado: Usado") and OLX India (₹, "Condition: Used") listings in the same batch?
Yes. The AI reads each screenshot by semantic role, so a Brazilian listing where the condition label reads "Estado: Usado" and an Indian listing where it reads "Condition: Used" both map to the same Condition column. You define one set of column names — Title, Price, Condition, Location, Posted Time — and every screenshot in the batch fills those columns, regardless of which OLX market it came from.
How does the tool handle currencies and number formats like R$ 89.990 or 1.500 zł?
The Price column keeps the value and the currency together. The AI recognizes the currency symbol in the screenshot and interprets the number format accordingly — "R$ 89.990" uses a dot as the thousands separator (89,990 reais), while "1.500 zł" on olx.pl uses a comma (1,500 złoty). The normalized numeric value is output alongside the detected currency code, ready for spreadsheet calculations.
The seller wrote their phone number inside the Description — can it be extracted?
Yes. Sellers across OLX markets commonly embed contact details — phone numbers, WhatsApp handles — directly in the description text instead of using a separate contact block. The Description column captures the full visible text as it appears on the screenshot. If you want the number as its own field, add a column named "Seller Contact" and the AI will locate and extract it from wherever it appears.
What if the final price was negotiated in OLX chat and the listing page still shows the old price?
The tool extracts what is visible in the screenshots you provide — it does not log into OLX or refresh listing pages. If the agreed price exists only in a chat message, include a screenshot of that conversation in the batch and add a column like "Final Price" to capture it. This is also why many sellers keep listing screenshots: the page is the only durable record of the original asking price after negotiation begins.
Do car listings with mileage and year and furniture listings with dimensions need different templates?
No. OLX renders category-specific attributes inside the same listing page — a car ad shows mileage, model year, and fuel type, while a furniture ad shows dimensions and material. With Custom Column Extraction you type the fields you want, including category-specific ones like "Mileage (km)" or "Dimensions (L×W×H)", and the AI finds them wherever they appear on each screenshot. Screenshots from different categories process against the same column set, with blank values where a category has no such field.
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