Kleinanzeigen Immobilien Scraper avatar

Kleinanzeigen Immobilien Scraper

Pricing

from $1.32 / 1,000 listings

Go to Apify Store
Kleinanzeigen Immobilien Scraper

Kleinanzeigen Immobilien Scraper

Scrape real-estate listings from Kleinanzeigen.de: apartments and houses to rent or buy, shared flats, plots, commercial. Cold and warm rent, costs, deposit, area, rooms, floor, year, amenities, agency and phone. Export JSON, CSV or Excel.

Pricing

from $1.32 / 1,000 listings

Rating

0.0

(0)

Developer

Nice Dev

Nice Dev

Maintained by Community

Actor stats

0

Bookmarked

1

Total users

0

Monthly active users

11 hours ago

Last modified

Share

🏠 What is Kleinanzeigen Immobilien Scraper?

Kleinanzeigen Immobilien Scraper extracts the real-estate listings of Kleinanzeigen.de (formerly eBay Kleinanzeigen) — apartments and houses to rent or to buy, shared flats and temporary rentals, plots, commercial properties, holiday homes, garages — as clean, flat rows: cold rent, warm rent, additional and heating costs, deposit, purchase price, price per m², living area, rooms, floor, construction year, availability, amenities, energy class, GPS position, agency, and the seller's name and phone number when published.

Pick a property type and a city, set the filters you need (area, rooms, floor, year, balcony…), or paste a Kleinanzeigen search URL, click Start, and download the listings in JSON, CSV or Excel. No login, nothing to set up: every real-estate field is already on the results page, so a list-only run reads 100 listings per request.

📋 What data can you extract from Kleinanzeigen Immobilien?

One item per listing, 126 fields:

CategoryWhat you get
🏠 Propertyproperty type (apartment, house, shared flat, plot, commercial…), rent or buy, apartment / house / commercial / plot type — apartment-rent, erdgeschosswohnung
📐 Size and layoutliving area, floor area, plot area, rooms, bedrooms, bathrooms, floor, number of floors — 100 m², 3 rooms, ground floor
💶 Rent and pricerent, cold rent (Kaltmiete), warm rent (Warmmiete), additional costs, heating costs, deposit, housing fee (Hausgeld), purchase price, price per m², commission or not — 550 € cold, 800 € warm, 1,500 € deposit
🛋️ Amenitiesbalcony, terrace, garden, cellar, built-in kitchen, parking, elevator, guest WC, furnished, pets allowed, step-free, floor heating, old / new building… as yes / no columns and as a list
⚡ Building and energyconstruction year, available from, energy class, heating type, energy source (read in the description) — 1998, 2026-10, C, Fernwärme
👥 Shared flatsroom or whole place, fixed-term or open-ended, flatmates, smoking
📍 Locationtown (even where the site shows the district), district, postcode, federal state, street when given, GPS position — Hilchenbach, 57271
👤 Seller and agencyprivate or commercial, agency name and logo, name, member since, rating and badges, link to all their listings
☎️ Contactsphone number, e-mail and legal notice (imprint) of agencies, when published
📝 Listingtitle, link, full description, every photo, PDFs, publication time to the second, days online, last edit, top ad, labels
👁️ Viewshow many times the listing was viewed (option)
🔎 Searchwhich search found the listing and at which position, when it was read, the site's untouched data (option)

Every field, with an example, is listed in the Output section below.

Fields marked (detail) in the Output tab (description in full, sellerName, sellerPhone, sellerEmail, sellerImprint, street, offerPossible, securePaymentPossible, seller badges, lastEditedAt, documents, energyClass, heatingType, energySource) are filled only when Extract details is on (off by default). Every real-estate field is on the results page: leave details off for a much faster, cheaper run, and tick it when you need the seller's contact or the full description.

✅ Why use Kleinanzeigen Immobilien Scraper?

  • 🏘️ All of Immobilien: the 11 property types of the site in one run — rentals, sales, shared flats, plots, commercial, holiday homes, garages, containers — or just the ones you pick.
  • 💶 The rent split, as columns: cold rent, warm rent, additional costs, heating costs, deposit, housing fee — plus the price per m², ready for a spreadsheet.
  • 🎛️ Filters sent to the site: area, rooms, plot, floor, construction year, availability, apartment / house / commercial / plot type, 26 amenities, commission-free, price, radius, private or commercial — a listing they drop is never downloaded.
  • 📚 Deep: up to 10,000 listings per search, eight times what the website itself pages through.
  • ☎️ Agency contacts: the phone number the seller published, the e-mail and legal notice of agencies, their name, rating and badges.
  • 🔔 Monitoring built in: tick Only new listings, schedule the Actor, and each run returns (and charges) only what it has never delivered before — the publication time is exact to the second.
  • 🗂️ Several searches in one run: property types × keywords × cities, agencies to follow, single listing ids — each with its own cap.
  • 🔌 API, scheduling, integrations (Make, Zapier, n8n, Google Sheets…) and JSON/CSV/Excel export via the Apify platform.

🚀 How to scrape Kleinanzeigen Immobilien

  1. Create a free Apify account.
  2. Open Kleinanzeigen Immobilien Scraper and choose one or more Property types (e.g. Apartments for rent).
  3. Type a Location (Berlin, 10115) and a Radius, and the filters you need: rent or buy, area, rooms, amenities, price.
  4. Or paste your own Kleinanzeigen real-estate URLs into Start URLs: any search results page (the filters and the sort written in the URL are kept, pagination is automatic), a seller page, or single listing pages.
  5. Set Max listings (100 by default, 0 = no limit) — and Max listings per search when you run several searches — then click Start and download the dataset in JSON, CSV, Excel or via API.

💰 How much does it cost to scrape Kleinanzeigen Immobilien?

This Actor uses pay per event pricing: you pay for each listing, and for each option only when you turn it on — except that a listing you ask for by id or by URL is always read on its own page, so it is charged Details too.

Prices per 1,000 events, by Apify subscription plan:

EventFreeBronzeSilverGold
Listing (every row of the dataset)$1.35$1.34$1.33$1.32
+ Details: the listing's own page (full description, seller name, phone, e-mail and imprint, badges) — only when Extract details is ticked$0.63$0.54$0.45$0.44
+ View count (includeViewCount)$0.09$0.09$0.08$0.08
Filtered listing: a listing's own page read, then dropped by With phone number only (requirePhone)$0.18$0.17$0.16$0.15
Filter check: a listing checked on its results page by a filter of this Actor (dates, excluded keywords, minimum photos, price types, maximum warm rent, a property filter the site ignores), kept or not$0.05$0.04$0.03$0.02

Plus $0.005 per run start (50 cents per 100 runs), whatever the plan.

  • 1,000 listings, list only (default, details off) on the Free plan ≈ $1.35; with Extract details on ≈ $1.98 ($1.35 + $0.63).
  • A daily monitor of 100 new listings with details ≈ $0.20 a day on the Free plan.

An option is charged only on the listings that got it (a view counter that failed is not charged). Each listing checked by one of the Actor's own filters is charged as a Filter check, kept or not; the property filters the site applies itself (area, rooms, amenities… — see Property filters) cost nothing extra. With With phone number only (requirePhone) the phone is only on the listing's own page, so each page read and then dropped for lack of a phone is charged as a Filtered listing. Platform usage (compute, proxy) is included in the price.

⚙️ Input

{
"propertyTypes": ["apartment-rent"],
"location": "Berlin",
"radiusKm": 10,
"minArea": 50,
"minRooms": 2,
"maxPrice": 1500,
"amenities": ["balcony", "builtInKitchen"],
"maxItems": 200
}

Houses and apartments for sale in several cities, a cap per search, only the new ones:

{
"propertyTypes": ["apartment-buy", "house-buy"],
"locations": ["Berlin", "Hamburg"],
"minConstructionYear": 2000,
"noCommission": true,
"maxItemsPerQuery": 50,
"postedAfter": "24 hours",
"onlyNew": true,
"stateKey": "buy-berlin-hamburg"
}

Everything an agency lists, with its phone number:

{
"sellerIds": ["123745993"],
"sellerType": "COMMERCIAL",
"extractDetails": true,
"requirePhone": true,
"maxItems": 300
}

Or with your own URLs and single listings:

{
"startUrls": [
{ "url": "https://www.kleinanzeigen.de/s-wohnung-mieten/berlin/c203l3331" },
{ "url": "https://www.kleinanzeigen.de/s-bestandsliste.html?userId=123745993" },
{ "url": "https://www.kleinanzeigen.de/s-anzeige/wohnung-zu-vermieten/3524110453-203-1468" }
],
"listingIds": ["3524096620"],
"maxItems": 500
}
FieldNotes
propertyTypesapartment-rent, apartment-buy, house-rent, house-buy, shared-temporary (Auf Zeit & WG), land-garden, commercial, holiday-abroad, garage-parking, container, other. One search per type; empty = all 11.
offerTypeANY, RENT or BUY: the types of the other deal are skipped; plots, commercial, holiday homes, garages and containers are filtered by the site.
query, searchQueriesFree-text search inside the property types (altbau, balkon); searchQueries adds more keywords (one search each). Ignored when startUrls is set.
location, locationsCity, district or postcode (Berlin, 10115), or the site's own id (l3331); locations adds more places. Every keyword is searched in every location for every type (max 500 searches per run for each type).
radiusKmKilometres around each location; ignored without a location.
sellerIds, storeIdsEvery real-estate listing of these sellers (123745993) or agency shops; each one is a search of its own, per property type.
listingIdsFetch single listings by id (3524096620) or URL, whatever the searches. Each is read on its own page: charged Details even with extractDetails off.
startUrlsReal-estate search results pages (the filters and the sort in the URL are kept, pagination is automatic), seller pages or single listing pages; a search outside Immobilien is refused. When set, the search fields and the site and property filters (propertyTypes, offerType, location, sellerIds, storeIds, radiusKm, minPrice, maxPrice, sellerType, adType, pictureRequired, sortBy, attributeFilters, minArea … noCommission) are ignored, and the log says which: set them on the site before copying the URL.
extractDetailsOpen each listing for the full description, the seller's name, phone and imprint (default off; requirePhone needs it on).
maxItems, maxItemsPerQueryStop after this many listings for the whole run (0 = unlimited) / for EACH search.
minPrice, maxPricePrice range in euros: the cold rent of apartments and houses to rent, the warm rent of shared flats, the purchase price of sales. Either one set, even 0, drops the listings that show no amount.
sellerTypeANY, PRIVATE or COMMERCIAL.
adTypeANY, offers (OFFERED) or wanted ads, the site's Gesuche (WANTED).
pictureRequiredWith a photo only.
sortByOrder of the results: DATE_DESCENDING, PRICE_ASCENDING, PRICE_DESCENDING, DISTANCE_ASCENDING.
attributeFiltersAny other filter of the site, as an object of attribute names and values (wohnung_mieten.swap: nein); the names are those of attributeList in the output.
minRooms, maxRooms, minArea, maxAreaRooms, half rooms as 2.5; living area of apartments, houses and rooms (floor area of commercial and containers), in m².
minPlotArea, maxPlotArea, minFloor, maxFloor, minConstructionYear, maxConstructionYearPlot of a house or a plot / garden (m²); floor (0 = ground floor); year built.
availableFrom, availableToAvailable from (Verfügbar ab) between these months, written 2026-11.
apartmentTypeApartments only, one type (penthouse, maisonette, dachgeschosswohnung…); other property types are skipped.
houseTypeHouses only (einfamilienhaus, reihenhaus, villa…).
commercialTypeCommercial only (bueros_praxen, gastronomie_hotels…).
plotTypePlots and gardens only (baugrundstueck, garten…).
accommodationTypeAuf Zeit & WG only: entire_accommodation, private_room or shared_room.
amenities, noCommissionListings with ALL these amenities (balcony, elevator, petsAllowed…); commission-free only. A property type that cannot have one is skipped.
postedAfter, postedBeforePublication date range: 2026-09-01, or a period before now (24 hours, 7 days, 2 weeks, 1 month).
excludeKeywords, maxWarmRent, requirePhone, minImagesDrop the listings whose title or description holds one of these words (also inside a longer word); drop the rentals whose warm rent is unknown or above this amount (sales are kept), keep only the listings with a phone number, or with at least N photos.
priceTypesKeep only some kinds of price: SPECIFIED_AMOUNT (fixed), PLEASE_CONTACT (negotiable, VB), FREE (Zu verschenken).
onlyNew, stateKey, resetStateMonitoring: only the listings never delivered under this memory key; resetState forgets the memory.
includeViewCount, includeRawAdd the number of views of each listing (1 extra request per listing, and it counts as one visit); add the untouched site data.
AdvancedproxyConfiguration (Apify proxy by default, included in the price; the residential proxy is not available), maxConcurrency, maxRequestsPerMinute (with includeViewCount, a listing page and its view counter count as one request), maxRequestRetries, debugLog.

📦 Output

One real item of a run, shortened (126 fields in the dataset):

{
"id": "3524110453",
"url": "https://www.kleinanzeigen.de/s-anzeige/wohnung-zu-vermieten/3524110453-203-1468",
"title": "Wohnung zu vermieten",
"price": 550,
"currency": "EUR",
"priceType": "SPECIFIED_AMOUNT",
"publishedAt": "2026-09-26T20:29:22.000Z",
"category": "Mietwohnungen",
"city": "Hilchenbach",
"postalCode": "57271",
"latitude": 51.001842,
"longitude": 8.119404,
"sellerName": "Gabriel",
"sellerType": "PRIVATE",
"images": [
"https://img.kleinanzeigen.de/api/v1/prod-ads/images/c4/c4078f3c-3812-4c83-a44f-49edc18b8b33?rule=$_57.JPG"
],
"imageCount": 13,
"propertyType": "apartment-rent",
"offerType": "rent",
"livingArea": 100,
"rooms": 3,
"bedrooms": 2,
"bathrooms": 1,
"floor": 0,
"apartmentType": "erdgeschosswohnung",
"availableFrom": "2026-10",
"rent": 550,
"coldRent": 550,
"warmRent": 800,
"additionalCosts": 150,
"heatingCosts": 100,
"deposit": 1500,
"pricePerSqm": 5.5,
"amenities": [
"balcony",
"terrace",
"garden",
"cellar",
"builtInKitchen",
"parking",
"furnished"
],
"hasBalcony": true,
"hasElevator": false,
"isFurnished": true,
"companyName": null,
"daysOnline": 0,
"searchRank": 12,
"scrapedAt": "2026-09-26T20:36:39.472Z"
}

You can download the dataset in various formats such as JSON, HTML, CSV or Excel.

All 126 fields

FieldsWhat you get
id, url, title3524110453, https://www.kleinanzeigen.de/s-anzeige/..., Wohnung zu vermieten
description, descriptionHtml, descriptionFormat, isDescriptionTruncatedfull text, the seller's own line breaks, text/markdown, false
price, currency, priceType, priceText, isNegotiable550, EUR, SPECIFIED_AMOUNT / PLEASE_CONTACT / FREE, 550 €, false
adType, status, isTopAd, features, labelsOFFERED, ACTIVE, false, ["TOPAD"], ["Von Privat"]
publishedAt, lastEditedAt, daysOnline2026-09-26T20:29:22.000Z (exact to the second — what the date filters read), null, 0
categoryId, category, categorySlug, parentCategoryId203, Mietwohnungen, Wohnung_mieten, 195
location, city, district, postalCode, state, street57271 Hilchenbach, Hilchenbach (the town, even where the site prints the district), the district of a big city, 57271, Nordrhein-Westfalen, the street when given
latitude, longitude, locationRadiusKm, locationId51.001842, 8.119404, 8.53, 1468
sellerId, sellerName, sellerType, sellerAccountType54151128, Gabriel, PRIVATE, PRIVATE / COMMERCIAL
sellerPhone, sellerEmail, sellerImprint, sellerProfileUrlthe phone number the seller published, the e-mail of an agency's legal notice, that legal notice, the page listing all their listings
sellerActiveSince, sellerRating, sellerBadges2022-10-21T13:55:03.000Z, 0.978, [{ "name": "rating", "level": 2 }]
sellerRatingLevel, sellerFriendlinessLevel, sellerReliabilityLevel2, 3, 1
storeId, storeTitle, storeUrl, companyName, companyLogoUrlan agency's shop number, name and link; the agency shown on the listing and its logo
images, imageUrl, imageCount, documentsphoto URLs in full size, the first one, 13, PDFs attached by the seller (floor plans, exposés)
attributes, attributeListevery field the seller filled in, as the site labels it ({ "Wohnfläche": "100 m²" }), and the same with machine names, units and types
propertyType, offerTypeapartment-rent, apartment-buy, house-rent, house-buy, shared-temporary, land-garden, commercial, holiday-abroad, garage-parking, container, other; rent / buy
livingArea, usableArea, plotArea100 (m²), the floor area of a commercial property or a container, the plot of a house or the size of a plot / garden
rooms, bedrooms, bathrooms, floor, numberOfFloors3, 2, 1, 0 (ground floor), 2
apartmentType, houseType, commercialType, plotType, parkingTypethe site's values: erdgeschosswohnung, einfamilienhaus, bueros_praxen, baugrundstueck, type_garage
accommodationType, rentalPeriod, flatmates, smokingshared flats: private_room, unbefristet, 2, unerwuenscht
constructionYear, availableFrom1998, 2026-10 (or a year alone)
energyClass, heatingType, energySourceC, Zentralheizung, Gas — read in the full description, with details (the site has no field for them; sale ads state them more often than rentals)
rent, coldRent, warmRent550 (the rent of a rental offer), 550 (Kaltmiete of apartments and houses), 800 (Warmmiete, as the seller typed it; the price of a shared flat)
additionalCosts, heatingCosts, deposit, housingFee, totalRent150, 100, 1500, the Hausgeld of an owner-occupied apartment, the total rent of a commercial property (euros)
purchasePrice, pricePerSqm, commissionthe price of a sale, 5.5 (the site's price per m², else price ÷ area), true / false (broker's commission)
swapOffer, onlineViewingtenant swap offer, online viewing offered
amenities["balcony", "cellar", "builtInKitchen"] — every equipment ticked
hasBalcony, hasTerrace, hasGarden, hasCellar, hasBuiltInKitchen, hasParking, hasElevator, hasGuestWc, hasBathtubtrue = ticked, false = not ticked, null = the property type has no such field
isFurnished, petsAllowed, isBarrierFree, hasFloorHeating, isOldBuilding, isNewBuilding, isWgSuitable, hasAttic, isHistoricBuilding, isCurrentlyRented, hasGrannyFlatsame rule
securePaymentPossible, offerPossiblefalse, false
viewCount32560 (only with View count)
searchUrl, searchQuery, searchLocation, searchRankwhich search returned the listing, and at which position
raw, scrapedAtthe untouched site data (only with Include raw data), ISO timestamp

💡 Tips

How to get more results

One search returns at most 10,000 listings (the site's own limit). Beyond that, split it: by property type, by city (locations), or by price band (minPrice / maxPrice) — every piece is a search of its own with its own cap. Set maxItems to 0 to take everything a search has.

How to reduce costs

The price is per listing, so the levers are maxItems, maxItemsPerQuery, the filters sent to the site with the search (price, radius, seller type, property filters: a listing they drop is never downloaded — the Actor's own filters are charged per listing checked) and onlyNew for recurring runs (you never pay twice for the same listing). Leave extractDetails off (the default) when the results page is enough — every real-estate field, the price, the photos, the location and the agency are already there: the run is then much faster, with no Details charge. Tick it only for the seller's phone, e-mail and imprint or the full description. Leave includeViewCount off unless you need the number of views.

Several searches in one run

Fill propertyTypes, searchQueries and / or locations: the Actor runs one search per property type × keyword × city (2 types × 3 cities = 6 searches, up to 500 per run for each type). The single query and location fields still work and are added to the lists. Sellers (sellerIds) and shops (storeIds) are searches too, per property type, and the keyword and the filters still apply to them. A listing found by several searches is saved — and charged — once. Set maxItemsPerQuery to give every search its own cap.

Property filters

Area, rooms, plot, floor, year, availability, the types, the amenities and commission-free are sent to the site as the filters of each property type. A type that cannot have the field is skipped, and the log says so (rooms of a plot, a balcony on a garage); if no type is left, the run stops at once with the reason. Where the site ignores a filter — the plot and the year of houses for rent, the floor and the year of commercial properties, the year of containers — the Actor checks it on each listing instead (a listing without the value is dropped), and each listing checked is charged as a Filter check. maxWarmRent is always checked that way: the site does not filter the warm rent. The rentals of plots, commercial properties, holiday homes, garages and containers never give one: with maxWarmRent, only their sales are searched (none at all with offerType RENT), and the log says so.

Monitoring: only the new listings

Tick Only new listings (onlyNew) and schedule the Actor. The first run returns everything; each later run skips the listings already delivered: they are not saved, not charged, and their page is not even opened. The memory lives in a named key-value store of your account (kleinanzeigen-immobilien-scraper-seen, up to 150,000 listings per key) and is only updated with listings that really reached the dataset, so a failed run never hides anything. Give each schedule its own stateKey (two schedules sharing a key would hide each other's listings), and tick resetState once to start over. With the default sort (newest first), a search stops once it meets 500 listings in a row you already have (paid top ads pinned above the sort are not counted); another sort reads the search to its end or to your caps.

Filter by publication date

postedAfter and postedBefore take a date (2026-09-01, the whole day is included, German time zone) or a period before now (24 hours, 7 days, 2 weeks, 1 month; via the API also a full ISO date-time). The site gives the publication time to the second, so an hourly run with postedAfter: "1 hour" returns exactly the new listings. Each listing the date filter checks is charged as a Filter check, kept or not; filtered-out listings are not saved and do not count in maxItems; the run summary tells how many were filtered. With postedAfter and the default sort (newest first), a search stops at the first page that is entirely too old; another sort reads on, up to your caps, keeping only the recent listings.

🔌 Integrations and API

Call the Actor via the Apify API, the JavaScript or Python clients, or connect it with integrations and webhooks (Make, Zapier, n8n, Google Sheets, Slack, Airtable…). The dataset can be fetched as JSON or CSV from any tool.

🤖 Use with AI agents (MCP)

AI agents (Claude, ChatGPT, Cursor…) can find and run this Actor through the Apify MCP server, billed to their Apify account like any run. It returns one item per real-estate listing of Kleinanzeigen.de. Actor id: nice_dev/kleinanzeigen-immobilien-scraper; MCP server with this Actor only: https://mcp.apify.com/?tools=fetch-actor-details,nice_dev/kleinanzeigen-immobilien-scraper.

Smallest input, for a cheap first call:

{
"propertyTypes": ["apartment-rent"],
"location": "Berlin",
"maxItems": 10
}

Key output fields: url, title, propertyType, coldRent, warmRent, purchasePrice, livingArea, rooms, city, sellerPhone.

Cost: per listing, plus $0.005 per run start; the details (option Extract details, off by default), the view count and the filters cost extra, see the pricing section above. Cap each call with maxItems and, through the API, with the run option maxTotalChargeUsd.

❓ FAQ

The Actor only reads what Kleinanzeigen.de shows publicly to any anonymous visitor. It logs in to nothing. Results can contain personal data — a landlord's or seller's name, and the phone number or imprint they chose to publish with their listing — which is protected by GDPR: do not store it without a legitimate reason, and do not use it for unsolicited marketing. You are responsible for using the data in compliance with Kleinanzeigen's Terms of Use and applicable law. This Actor is not affiliated with Kleinanzeigen.de or eBay.

Does it need a login or a proxy?

No login. The proxy is included in the price: leave the default setting (the residential proxy is not available). A request the site turns away is retried at once on a new proxy session (without a proxy, after a pause of 5 seconds, doubled at each retry up to 150 seconds). Behind the Apify proxy, a request turned away on 3 proxy IPs (8 for the lookups made before the crawl) is then sent without proxy, and the run's log says so; with your own proxies in Proxy configuration, every request goes through them.

Why is the warm rent sometimes lower than the cold rent, or missing?

The seller types the warm rent, the costs and the deposit in fields of their own, and the site does not check them: the Actor gives them as typed, never recomputed. About 7 apartments to rent in 10 give a warm rent, 1 house to rent in 3; the rentals of plots, commercial properties, holiday homes, garages and containers never do. The price of an apartment or a house to rent is its cold rent (Kaltmiete); the price of a shared flat or a temporary rental is its warm rent — the site's own labels.

Why am I charged for listings I did not get with requirePhone?

A phone number is only on the listing's own page, so With phone number only reads that page before it knows whether the seller published one. Each page read and then dropped is charged as a Filtered listing: the search is paid even when it finds few listings. Never charged as a Filtered listing: a listing dropped on its results page (another filter, a date — a Filter check there), a listing a previous run already delivered (onlyNew), a page that failed or a listing removed meanwhile, and never twice the same listing (a retry, a resurrected run). The run stops after 300 pages in a row without a phone — private landlords rarely publish one — and never goes past your maximum cost: choose Seller type: Commercial sellers only to get far more phone numbers per page read.

Is the data safe to open in Excel or to show on a web page?

Titles and descriptions are the sellers' own words, copied as they are. A text can begin with -, +, = or @ (a phone number, a title such as -20% Provision): Excel and Google Sheets may read such a cell of a CSV file as a formula or as a number. The Actor leaves the text as it is, so that the JSON and the API give the real value: when you open a CSV, import these columns as text. Every URL field holds an http(s) URL or null; descriptionHtml holds the seller's own markup, which the Actor does not sanitize. On a web page, escape every field like any text written by a stranger.

Known limitations

  • One search returns at most 10,000 listings: split it (see Tips) to go further.
  • description in full, sellerName, sellerPhone, sellerEmail, sellerImprint, street, offerPossible, securePaymentPossible and the seller badges come from the listing's own page: they are empty (null, [], the short preview for description) when extractDetails is off. So are energyClass, heatingType and energySource, read in the full description.
  • A phone number is only there when the seller published one with the listing.
  • A shop URL (/pro/...) carries no id: use the storeId a previous run returned.
  • No price history and no removed listings: the site only shows the listings online today, with their current price.
  • onlyNew remembers listing ids, not their content: a listing whose price changed is not returned again.
  • Two runs sharing the same stateKey at the same time may both return the same new listing.
  • includeViewCount asks the site for the counter of each listing, which counts as one visit for the seller, exactly like opening the page in a browser.

A run that reaches its timeout stops itself about 45 seconds before it: no new page is asked, what it read is saved and, with onlyNew, remembered, and the run ends Succeeded with "Stopped before the run's timeout". In list-only mode with includeViewCount, the listings whose counter was not read yet are saved without it. Resurrect the run to go on from there, or give the next run a longer timeout (Run options).

A run the platform stops without warning (out of memory)

  • Resurrect it: it goes on from where it stood at most a minute before the stop. What it had read since is read again, and the listings already saved are skipped: none is delivered or charged twice, and maxItems still counts them.
  • With onlyNew, the memory is saved once a minute: resurrect the stopped run and the listings it had saved meanwhile join the memory; leave it stopped for good, and the next run may return up to a minute of them once more.

Something doesn't work?

The last line of the log counts the listings saved, filtered out and no longer on Kleinanzeigen.de (removed while the run was reading them), and the requests that failed after every retry. Those requests and the removed listings are listed, with the reason, in the FAILED_REQUESTS record of the run's key-value store. A run that saved nothing and had failed requests fails, and its last message gives the cause (a search URL that does not exist says so, instead of "run it again"). A run that saved some listings fails too when at least as many requests failed for good as were read (page 1 read, the next pages or the listing pages blocked), or — with includeViewCount — when at least as many view counters failed as were read (most rows would lack the view count you asked for): a green run with a short dataset would hide the outage. One failed request among many is only a warning.

If Kleinanzeigen.de changes its pages, you are told instead of paying for blank rows. A results page that counts listings but gives none the Actor can read, or a listing page that comes back empty, is an error (retried, then listed in FAILED_REQUESTS), never a quiet "No listings found". If the first 20 listings read all lack their title, publication date, seller id, seller type, postcode, place id, category, the amount of a price typed as an amount, the type of a price that has an amount or — with extractDetails — description, seller name or the imprint of a professional seller — or a property column every listing of its type gives (living area of flats, houses and shared flats; rooms, except houses for sale; plot area and plot type; rent or buy where the category mixes both; rental period of temporary and shared flats; parking type) — the run saves nothing more, stops and fails, and its last message names the missing field: at most those first listings are charged. A listing that a filter drops because it lacks that field (postedAfter / postedBefore for the date, priceTypes for the price type) counts among those 20. The amenities, types, commission-free and rent or buy sent to the site are on every listing it answers: if none of the first 20 listings of a property type carries one of them (the site renamed it, or writes it another way), the run stops and fails the same way, naming it, instead of dropping every listing for a green run at 0. A run of fewer listings (a scheduled onlyNew run that finds a few new ones, a small Max listings) is checked at its end, from 5 listings: its listings are already saved, and the run fails with the missing field instead of ending green. If the site refuses the access of its app (HTTP 401), the run fails before reading anything and says so: running it again will not help, please report it.

🛟 Support

Open an issue in the Issues tab with a link to your run: the run log and the FAILED_REQUESTS record of the key-value store show exactly which URLs failed and why.