# Avito.ma Scraper - Low-cost 💲🔥🎯🛍️ (`delectable_incubator/avito-ma-scraper---low-cost`) Actor
Scrape Avito product listings with this powerful Apify actor 🎯🌍.
Search by keyword, category, and city (Morocco) to extract product titles, prices, locations, and more.
Handle pagination easily and get clean, structured datasets for market research, price tracking, and e-commerce analysis 📊🚀
- **URL**: https://apify.com/delectable\_incubator/avito-ma-scraper---low-cost.md
- **Developed by:** [Prime Scrape](https://apify.com/delectable_incubator) (community)
- **Categories:** E-commerce, Lead generation, Real estate
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, NaN bookmarks
- **User rating**: No ratings yet
## Pricing
from $0.00005 / actor start
This Actor is paid per event and usage. You are charged both the fixed price for specific events and for Apify platform usage.
Since this Actor supports Apify Store discounts, the price gets lower the higher subscription plan you have.
Learn more: https://docs.apify.com/platform/actors/running/actors-in-store#pay-per-event
## What's an Apify Actor?
Actors are a software tools running on the Apify platform, for all kinds of web data extraction and automation use cases.
In Batch mode, an Actor accepts a well-defined JSON input, performs an action which can take anything from a few seconds to a few hours,
and optionally produces a well-defined JSON output, datasets with results, or files in key-value store.
In Standby mode, an Actor provides a web server which can be used as a website, API, or an MCP server.
Actors are written with capital "A".
## How to integrate an Actor?
If asked about integration, you help developers integrate Actors into their projects.
You adapt to their stack and deliver integrations that are safe, well-documented, and production-ready.
The best way to integrate Actors is as follows.
In JavaScript/TypeScript projects, use official [JavaScript/TypeScript client](https://docs.apify.com/api/client/js.md):
```bash
npm install apify-client
```
In Python projects, use official [Python client library](https://docs.apify.com/api/client/python.md):
```bash
pip install apify-client
```
In shell scripts, use [Apify CLI](https://docs.apify.com/cli/docs.md):
````bash
# MacOS / Linux
curl -fsSL https://apify.com/install-cli.sh | bash
# Windows
irm https://apify.com/install-cli.ps1 | iex
```bash
In AI frameworks, you might use the [Apify MCP server](https://docs.apify.com/platform/integrations/mcp.md).
If your project is in a different language, use the [REST API](https://docs.apify.com/api/v2.md).
For usage examples, see the [API](#api) section below.
For more details, see Apify documentation as [Markdown index](https://docs.apify.com/llms.txt) and [Markdown full-text](https://docs.apify.com/llms-full.txt).
# README
---
### Avito Offers Scraper 🛍️🔎📊
The Avito Offers Scraper is a fast, reliable, and scalable automation tool designed to extract structured product listings directly from Avito.
It transforms marketplace listings into clean, structured datasets ready for market analysis, pricing intelligence, competitor monitoring, and data-driven applications.
---
### Avito Offers Scraper 🧠📈💼
This scraper automatically extracts structured offer data from Avito search results based on customizable parameters such as keyword, category, and city.
Ideal for e-commerce analysts, resellers, marketers, developers, and businesses tracking product trends and pricing strategies.
---
### 🎯 What This Scraper Does
Simply provide search parameters and the number of items to extract, and the scraper will automatically collect structured offer data.
✅ Extracts offers from Avito marketplace
✅ Supports keyword, category, and city filters
✅ Handles pagination automatically
✅ Respects max items limit
✅ Extracts detailed product and seller data
✅ Collects images, pricing, and metadata
✅ Clean and analytics-ready datasets
✅ Ideal for dashboards, research & automation
---
### 📊 Data Extracted
🛍️ Offer Fields
| Field | Description |
| ---------------------- | -------------------------- |
| 🆔 `Id` | Unique offer ID |
| 🏷️ `Title` | Offer title |
| 📝 `Description` | Offer description |
| 🗂️ `Category` | Product category |
| 📢 `Ad type` | Type of listing |
| 👤 `Seller name` | Seller name |
| ✅ `Is_verified_seller` | Seller verification status |
| 📍 `Location` | Offer location |
| 📅 `Date` | Posting date |
| 💰 `Price (MAD)` | Current price |
| 💸 `Old price` | Previous price (if exists) |
| 🔗 `Link` | Offer URL |
| 📸 `Image` | Main image |
| 🔥 `HotDeal` | Hot deal indicator |
| ⚠️ `Urgent` | Urgent listing indicator |
| 🎥 `Videos` | Video links |
| 🖼️ `Images` | All images |
| 🚚 `Delivery` | Delivery availability |
| ⚙️ `Details` | Technical product details |
---
### 🛠 How to Use
1️⃣ Configure Input
Provide your search parameters:
````
{
"category": "all",
"city": "maroc",
"keyword": \["Volvo"],
"language": "fr",
"max\_items": 60
}
```
2️⃣ Run the Actor
• Open Avito search results
• Apply filters (keyword, category, city)
• Automatically paginate results
• Extract offers and metadata
• Structure and clean the dataset
• Stop when max_items limit is reached
3️⃣ Export the Dataset
Download your results in multiple formats:
✅ JSON
✅ CSV
✅ Excel
✅ XML
✅ HTML
---
### ⚙️ Input Configuration
#### 📥 Input Example
```
{
"category": "all",
"city": "maroc",
"keyword": \["Hyundai"],
"language": "fr",
"max\_items": 60
}
```
#### Input Fields
| Field | Type | Description |
| ----------- | ------- | ----------------------------------- |
| `category` | string | Category to search |
| `city` | string | Target city |
| `keyword` | string | Search keyword |
| `language` | string | Language (fr / ar) |
| `max_items` | integer | Maximum number of offers to extract |
---
### 📤 Output Example
```
{
"Id": "74553203",
"Title": "Mercedes-Benz CLE 220d Cabriolet PACK AMG 2025",
"Description": "Véhicule Fraichement importé Full options",
"Category": "Voitures - Voitures d'occasion",
"Ad type": "à vendre",
"Seller name": "Hivernage auto",
"Is\_verified\_seller": false,
"Location": "Casablanca, Maarif",
"Date": "il y a 57 minutes",
"Price (MAD)": "N/A",
"Old price": "N/A",
"Link": "https://www.avito.ma/...",
"Image": "https://content.avito.ma/...",
"HotDeal": false,
"Urgent": false,
"Images": \[...],
"Delivery": false,
"Details": {
"regdate": "2024",
"bv": "Automatique",
"fuel": "Diesel"
}
}
````
---
### 📊 Output explanation
| Field | Description |
| ------------- | ---------------------- |
| `Id` | Offer unique ID |
| `Title` | Offer title |
| `Category` | Product category |
| `Seller name` | Seller |
| `Location` | Offer location |
| `Price (MAD)` | Current price |
| `Old price` | Previous price |
| `HotDeal` | Special deal indicator |
| `Urgent` | Urgent listing flag |
| `Images` | Product images |
| `Details` | Technical details |
---
### 🌍 Why Use This Scraper?
📊 Market Analysis — Track product trends and pricing
🏁 Competitor Monitoring — Analyze competing offers
💬 Consumer Insights — Understand demand and behavior
📦 E-commerce Intelligence — Optimize pricing strategies
🤖 AI & Data Science — Build structured datasets
🔄 Automation — Schedule recurring scraping workflows
⚡ Scalable — Designed for large datasets
---
### ⚠️ Disclaimer
This tool is an independent solution and is not affiliated with or endorsed by Avito.
---
### 💸 Pricing
This scraper runs on a **pay per events subscription model**.
You only pay for **successful runs**.
💳 **Price:** $3.99 / 1000 results
---
### Related Actors
If you're interested in jobs scraping solutions, explore more tools:
(Coming soon)
---
### 📬 Support
⭐⭐⭐⭐⭐ Leave a 5-star rating if you like this tool
---
### 🌍 PrimeScrape
Built for scalable web data extraction & automation
Contact for custom scraping solutions or enterprise requests via Apify or by email.
# Actor input Schema
## `keywords` (type: `array`):
List of keywords to search. Each keyword will be scraped separately up to max_items each.
Liste des mots-clés à rechercher. Chaque mot-clé sera scrapé séparément jusqu’à max_items.
قائمة كلمات البحث. سيتم استخراج النتائج لكل كلمة بشكل منفصل حتى الحد الأقصى max_items.
## `city` (type: `string`):
Select city to scrape offers from.
Choisissez la ville pour extraire les annonces.
اختر المدينة لاستخراج الإعلانات منها.
## `language` (type: `string`):
Choose interface language (French or Arabic).
Choisissez la langue (français ou arabe).
اختر اللغة (الفرنسية أو العربية).
## `category` (type: `string`):
Choose a category.
Choisissez une catégorie.
اختر الفئة.
## `max_items` (type: `integer`):
Maximum number of offers to fetch per keyword.
Nombre maximum d’annonces par mot-clé.
الحد الأقصى لعدد الإعلانات لكل كلمة بحث.
## Actor input object example
```json
{
"keywords": [
"Mercedes",
"Toyota"
],
"city": "maroc",
"language": "fr",
"category": "all",
"max_items": 60
}
````
# Actor output Schema
## `results` (type: `string`):
No description
# API
You can run this Actor programmatically using our API. Below are code examples in JavaScript, Python, and CLI, as well as the OpenAPI specification and MCP server setup.
## JavaScript example
```javascript
import { ApifyClient } from 'apify-client';
// Initialize the ApifyClient with your Apify API token
// Replace the '' with your token
const client = new ApifyClient({
token: '',
});
// Prepare Actor input
const input = {
"keywords": [
"Mercedes",
"Toyota"
],
"city": "maroc",
"language": "fr",
"category": "all",
"max_items": 60
};
// Run the Actor and wait for it to finish
const run = await client.actor("delectable_incubator/avito-ma-scraper---low-cost").call(input);
// Fetch and print Actor results from the run's dataset (if any)
console.log('Results from dataset');
console.log(`💾 Check your data here: https://console.apify.com/storage/datasets/${run.defaultDatasetId}`);
const { items } = await client.dataset(run.defaultDatasetId).listItems();
items.forEach((item) => {
console.dir(item);
});
// 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/js/docs
```
## Python example
```python
from apify_client import ApifyClient
# Initialize the ApifyClient with your Apify API token
# Replace '' with your token.
client = ApifyClient("")
# Prepare the Actor input
run_input = {
"keywords": [
"Mercedes",
"Toyota",
],
"city": "maroc",
"language": "fr",
"category": "all",
"max_items": 60,
}
# Run the Actor and wait for it to finish
run = client.actor("delectable_incubator/avito-ma-scraper---low-cost").call(run_input=run_input)
# Fetch and print Actor results from the run's dataset (if there are any)
print("💾 Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"])
for item in client.dataset(run["defaultDatasetId"]).iterate_items():
print(item)
# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start
```
## CLI example
```bash
echo '{
"keywords": [
"Mercedes",
"Toyota"
],
"city": "maroc",
"language": "fr",
"category": "all",
"max_items": 60
}' |
apify call delectable_incubator/avito-ma-scraper---low-cost --silent --output-dataset
```
## MCP server setup
```json
{
"mcpServers": {
"apify": {
"command": "npx",
"args": [
"mcp-remote",
"https://mcp.apify.com/?tools=delectable_incubator/avito-ma-scraper---low-cost",
"--header",
"Authorization: Bearer "
]
}
}
}
```
## OpenAPI specification
```json
{
"openapi": "3.0.1",
"info": {
"title": "Avito.ma Scraper - Low-cost 💲🔥🎯🛍️",
"description": "Scrape Avito product listings with this powerful Apify actor 🎯🌍. \n\nSearch by keyword, category, and city (Morocco) to extract product titles, prices, locations, and more. \n\nHandle pagination easily and get clean, structured datasets for market research, price tracking, and e-commerce analysis 📊🚀",
"version": "0.0",
"x-build-id": "aIHU6oBH8l9lHCXwK"
},
"servers": [
{
"url": "https://api.apify.com/v2"
}
],
"paths": {
"/acts/delectable_incubator~avito-ma-scraper---low-cost/run-sync-get-dataset-items": {
"post": {
"operationId": "run-sync-get-dataset-items-delectable_incubator-avito-ma-scraper---low-cost",
"x-openai-isConsequential": false,
"summary": "Executes an Actor, waits for its completion, and returns Actor's dataset items in response.",
"tags": [
"Run Actor"
],
"requestBody": {
"required": true,
"content": {
"application/json": {
"schema": {
"$ref": "#/components/schemas/inputSchema"
}
}
}
},
"parameters": [
{
"name": "token",
"in": "query",
"required": true,
"schema": {
"type": "string"
},
"description": "Enter your Apify token here"
}
],
"responses": {
"200": {
"description": "OK"
}
}
}
},
"/acts/delectable_incubator~avito-ma-scraper---low-cost/runs": {
"post": {
"operationId": "runs-sync-delectable_incubator-avito-ma-scraper---low-cost",
"x-openai-isConsequential": false,
"summary": "Executes an Actor and returns information about the initiated run in response.",
"tags": [
"Run Actor"
],
"requestBody": {
"required": true,
"content": {
"application/json": {
"schema": {
"$ref": "#/components/schemas/inputSchema"
}
}
}
},
"parameters": [
{
"name": "token",
"in": "query",
"required": true,
"schema": {
"type": "string"
},
"description": "Enter your Apify token here"
}
],
"responses": {
"200": {
"description": "OK",
"content": {
"application/json": {
"schema": {
"$ref": "#/components/schemas/runsResponseSchema"
}
}
}
}
}
}
},
"/acts/delectable_incubator~avito-ma-scraper---low-cost/run-sync": {
"post": {
"operationId": "run-sync-delectable_incubator-avito-ma-scraper---low-cost",
"x-openai-isConsequential": false,
"summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.",
"tags": [
"Run Actor"
],
"requestBody": {
"required": true,
"content": {
"application/json": {
"schema": {
"$ref": "#/components/schemas/inputSchema"
}
}
}
},
"parameters": [
{
"name": "token",
"in": "query",
"required": true,
"schema": {
"type": "string"
},
"description": "Enter your Apify token here"
}
],
"responses": {
"200": {
"description": "OK"
}
}
}
}
},
"components": {
"schemas": {
"inputSchema": {
"type": "object",
"required": [
"keywords"
],
"properties": {
"keywords": {
"title": "Keywords to search ✍️🔍 | Mots-clés de recherche ✍️🔍 | كلمات البحث ✍️🔍",
"type": "array",
"description": "List of keywords to search. Each keyword will be scraped separately up to max_items each.\n\nListe des mots-clés à rechercher. Chaque mot-clé sera scrapé séparément jusqu’à max_items.\n\nقائمة كلمات البحث. سيتم استخراج النتائج لكل كلمة بشكل منفصل حتى الحد الأقصى max_items.",
"default": [
"Mercedes",
"Toyota"
],
"items": {
"type": "string"
}
},
"city": {
"title": "Select city 🌍 | Ville 🌍 | اختر المدينة 🌍",
"enum": [
"maroc",
"khouribga",
"safi",
"fes",
"kenitra",
"casablanca",
"sale",
"el_jadida",
"marrakech",
"meknes",
"oujda",
"tetouan",
"rabat",
"agadir",
"beni_mellal",
"tanger",
"taza",
"al_hoceima",
"errachidia",
"khenifra",
"larache",
"nador",
"ouarzazate",
"settat",
"ain_aouda",
"ain_harrouda",
"ait_baha",
"ait_melloul",
"al_haouz",
"aousserd",
"arfoud",
"assa_zag",
"assilah",
"azemmour",
"azilal",
"azrou",
"ben_ahmed",
"ben_guerir",
"benslimane",
"berkane",
"berrechid",
"bin_el_ouidane",
"boujdour",
"boulmane",
"bouskoura",
"bouznika",
"chefchaouen",
"chichaoua",
"dakhla",
"el_harhoura",
"el_mansouria",
"es_semara",
"essaouira",
"figuig",
"fnideq",
"guelmim",
"guercif",
"had_soualem",
"ifrane",
"imouzzer",
"inzegan",
"kelaat_es-sraghna",
"khemisset",
"ksar_el-kebir",
"ksar_es-seghir",
"lagouira",
"laayoune",
"martil",
"mdiq",
"midelt",
"mohammedia",
"moulay_bousselham",
"moulay_yaccoub",
"nouaceur",
"oualidia",
"ouazzane",
"saidia",
"sala_al-jadida"
],
"type": "string",
"description": "Select city to scrape offers from.\n\nChoisissez la ville pour extraire les annonces.\n\nاختر المدينة لاستخراج الإعلانات منها.",
"default": "maroc"
},
"language": {
"title": "Language 🗣️ | Langue 🗣️ | اللغة 🗣️",
"enum": [
"fr",
"ar"
],
"type": "string",
"description": "Choose interface language (French or Arabic).\n\nChoisissez la langue (français ou arabe).\n\nاختر اللغة (الفرنسية أو العربية).",
"default": "fr"
},
"category": {
"title": "Category 🎯 | Catégorie 🎯 | الفئة 🎯",
"enum": [
"all",
"market",
"véhicules",
"immobilier",
"entreprises"
],
"type": "string",
"description": "Choose a category.\n\nChoisissez une catégorie.\n\nاختر الفئة.",
"default": "all"
},
"max_items": {
"title": "Max offers per keyword 🔢 | Offres max par mot-clé 🔢 | الحد الأقصى لكل كلمة 🔢",
"type": "integer",
"description": "Maximum number of offers to fetch per keyword.\n\nNombre maximum d’annonces par mot-clé.\n\nالحد الأقصى لعدد الإعلانات لكل كلمة بحث.",
"default": 60
}
}
},
"runsResponseSchema": {
"type": "object",
"properties": {
"data": {
"type": "object",
"properties": {
"id": {
"type": "string"
},
"actId": {
"type": "string"
},
"userId": {
"type": "string"
},
"startedAt": {
"type": "string",
"format": "date-time",
"example": "2025-01-08T00:00:00.000Z"
},
"finishedAt": {
"type": "string",
"format": "date-time",
"example": "2025-01-08T00:00:00.000Z"
},
"status": {
"type": "string",
"example": "READY"
},
"meta": {
"type": "object",
"properties": {
"origin": {
"type": "string",
"example": "API"
},
"userAgent": {
"type": "string"
}
}
},
"stats": {
"type": "object",
"properties": {
"inputBodyLen": {
"type": "integer",
"example": 2000
},
"rebootCount": {
"type": "integer",
"example": 0
},
"restartCount": {
"type": "integer",
"example": 0
},
"resurrectCount": {
"type": "integer",
"example": 0
},
"computeUnits": {
"type": "integer",
"example": 0
}
}
},
"options": {
"type": "object",
"properties": {
"build": {
"type": "string",
"example": "latest"
},
"timeoutSecs": {
"type": "integer",
"example": 300
},
"memoryMbytes": {
"type": "integer",
"example": 1024
},
"diskMbytes": {
"type": "integer",
"example": 2048
}
}
},
"buildId": {
"type": "string"
},
"defaultKeyValueStoreId": {
"type": "string"
},
"defaultDatasetId": {
"type": "string"
},
"defaultRequestQueueId": {
"type": "string"
},
"buildNumber": {
"type": "string",
"example": "1.0.0"
},
"containerUrl": {
"type": "string"
},
"usage": {
"type": "object",
"properties": {
"ACTOR_COMPUTE_UNITS": {
"type": "integer",
"example": 0
},
"DATASET_READS": {
"type": "integer",
"example": 0
},
"DATASET_WRITES": {
"type": "integer",
"example": 0
},
"KEY_VALUE_STORE_READS": {
"type": "integer",
"example": 0
},
"KEY_VALUE_STORE_WRITES": {
"type": "integer",
"example": 1
},
"KEY_VALUE_STORE_LISTS": {
"type": "integer",
"example": 0
},
"REQUEST_QUEUE_READS": {
"type": "integer",
"example": 0
},
"REQUEST_QUEUE_WRITES": {
"type": "integer",
"example": 0
},
"DATA_TRANSFER_INTERNAL_GBYTES": {
"type": "integer",
"example": 0
},
"DATA_TRANSFER_EXTERNAL_GBYTES": {
"type": "integer",
"example": 0
},
"PROXY_RESIDENTIAL_TRANSFER_GBYTES": {
"type": "integer",
"example": 0
},
"PROXY_SERPS": {
"type": "integer",
"example": 0
}
}
},
"usageTotalUsd": {
"type": "number",
"example": 0.00005
},
"usageUsd": {
"type": "object",
"properties": {
"ACTOR_COMPUTE_UNITS": {
"type": "integer",
"example": 0
},
"DATASET_READS": {
"type": "integer",
"example": 0
},
"DATASET_WRITES": {
"type": "integer",
"example": 0
},
"KEY_VALUE_STORE_READS": {
"type": "integer",
"example": 0
},
"KEY_VALUE_STORE_WRITES": {
"type": "number",
"example": 0.00005
},
"KEY_VALUE_STORE_LISTS": {
"type": "integer",
"example": 0
},
"REQUEST_QUEUE_READS": {
"type": "integer",
"example": 0
},
"REQUEST_QUEUE_WRITES": {
"type": "integer",
"example": 0
},
"DATA_TRANSFER_INTERNAL_GBYTES": {
"type": "integer",
"example": 0
},
"DATA_TRANSFER_EXTERNAL_GBYTES": {
"type": "integer",
"example": 0
},
"PROXY_RESIDENTIAL_TRANSFER_GBYTES": {
"type": "integer",
"example": 0
},
"PROXY_SERPS": {
"type": "integer",
"example": 0
}
}
}
}
}
}
}
}
}
}
```