# Adecco Jobs Scraper (`lexis-solutions/adecco-scraper`) Actor
Scrape Adecco US jobs at scale: extract titles, locations, salary, contract type, category, posting dates, recruiter and full descriptions from search or job URLs into structured JSON/CSV for recruiting and labor market analytics.
- **URL**: https://apify.com/lexis-solutions/adecco-scraper.md
- **Developed by:** [Lexis Solutions](https://apify.com/lexis-solutions) (community)
- **Categories:** Jobs, Automation, AI
- **Stats:** 3 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet
## Pricing
from $1.99 / 1,000 results
This Actor is paid per event. You are not charged for the Apify platform usage, but only a fixed price for specific events.
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
## Adecco Jobs Scraper
Adecco (adecco.com) is a global staffing and recruitment platform. This actor collects structured job listing data from Adecco US search and job detail pages.
### Introduction
The Adecco Jobs Scraper starts from Adecco search or job detail URLs, paginates through available search results, opens each job detail, and extracts structured job data such as title, location, contract type, salary, category, posting dates, recruiter details, and job description.
### Use Cases
- **Job market research**: Track job availability, salary ranges, locations, and contract types.
- **Recruitment intelligence**: Monitor new openings and hiring trends across Adecco US listings.
- **Lead generation**: Build structured job datasets for staffing, sales, and outreach workflows.
- **Analytics pipelines**: Feed BI tools, dashboards, and internal data warehouses.
### Input
Provide the following fields:
- `startUrls` (array, required): Adecco search or job detail URLs.
- `maxItems` (integer, optional): Maximum number of job items to extract per search URL.
- `proxyConfiguration` (object, optional): Apify proxy settings.
Notes:
- Search URLs can look like `https://www.adecco.com/en-us/job-search?jobTitle=manager`.
- Detail URLs can look like `https://www.adecco.com/en-us/job-search/manufacturing-machine-operator-stratham-new-hampshire/us_en_99_026456_2541314`.
- Detail URLs with `jobId` query parameters are also supported, for example `https://www.adecco.com/en-us/job-search?jobTitle=manager&jobId=us_en_99_020730_2536091`.
- Crawling stops per source URL when `maxItems` is reached or when there are no more results.
- Proxies are recommended for larger runs and better stability.
### Input Examples
**1) Search and detail URLs**
```json
{
"startUrls": [
{
"url": "https://www.adecco.com/en-us/job-search?jobTitle=manager"
},
{
"url": "https://www.adecco.com/en-us/job-search/manufacturing-machine-operator-stratham-new-hampshire/us_en_99_026456_2541314"
}
],
"maxItems": 10,
"proxyConfiguration": {
"useApifyProxy": true
}
}
````
### Output
Each dataset item contains fields like:
```json
{
"url": "https://www.adecco.com/en-us/job-search/manufacturing-machine-operator-stratham-new-hampshire/us_en_99_026456_2541314",
"detailUrl": "https://www.adecco.com/en-us/job-search/manufacturing-machine-operator-stratham-new-hampshire/us_en_99_026456_2541314",
"jobId": "US_EN_99_026456_2541314",
"cisJobId": "00000000-0000-0000-0000-000000000000",
"externalReference": "2541314",
"name": "Manufacturing Machine Operator",
"companyName": null,
"location": "Stratham, New Hampshire",
"cityName": "Stratham",
"stateName": "New Hampshire",
"countryId": "USA",
"isRemote": false,
"contract": "Contract/Temporary",
"contractTypeTitle": "Contract/Temporary",
"employmentTypeTitle": null,
"jobCategoryTitle": "Manufacturing",
"jobSubCategoryTitle": "Production",
"salary": {
"min": 20,
"max": 24,
"currency": "USD",
"currencySymbol": "$",
"timeScale": "Hour",
"timeScaleId": "PERHOUR"
},
"numberOfPositions": 1,
"postedDate": "2026-05-01T12:00:00Z",
"postingEndDate": "2026-05-31T23:59:59Z",
"recruiterName": "Recruiter Name",
"recruiterEmail": "recruiter@example.com",
"jobStatusId": "OPEN",
"descriptionText": "Clean text version of the job description.",
"descriptionHtml": "HTML version of the job description.
"
}
```
The scraper paginates through search results and stops when `maxItems` is reached per start URL or when no more result items are found.
### Why use the Adecco Jobs Scraper?
- **Focused**: Built specifically for Adecco US search and job detail flows.
- **Structured output**: Ready-to-use JSON records for automation and analysis.
- **Per-URL limits**: `maxItems` is enforced per search URL.
- **Flexible input**: Supports both search URLs and job detail URLs.
- **Apify-native**: Works with Apify datasets, request queue, and proxy config.
### FAQ
- **How many jobs can it extract?**\
Controlled by `maxItems` per source URL. If Adecco returns fewer jobs than `maxItems`, the actor stops when all available jobs are collected.
- **Do I need proxies?**\
Proxies are recommended for larger runs and stability.
- **Can I start from a job detail URL?**\
Yes. The actor supports Adecco detail URLs and search URLs with a `jobId` parameter.
- **Why did it return fewer items than `maxItems`?**\
`maxItems` is a maximum limit. If Adecco has fewer matching jobs for the search, the actor returns only the available jobs.
- **What if Adecco changes their website structure?**\
The actor may require updates to keep extraction stable.
### Need to scrape other job platforms?
Check out our other scrapers:
- [Reed.co.uk Scraper](https://apify.com/lexis-solutions/reed-co-uk-scraper).
- [TotalJobs Scraper](https://apify.com/lexis-solutions/totaljobs-scraper).
- [HelloWork Scraper](https://apify.com/lexis-solutions/hellowork-scraper).
- [VDAB.be Scraper](https://apify.com/lexis-solutions/vdab-be-scraper).
- [Jobs Ireland Scraper](https://apify.com/lexis-solutions/jobs-ireland-ie-scraper).
- [Jobindex.dk Scraper](https://apify.com/lexis-solutions/jobindex-dk-scraper).
***
**Need help or want a custom solution?**
Lexis Solutions is a certified Apify Partner. We can help with custom data extraction projects.
Contact us over [Email](mailto:scraping@lexis.solutions) or [LinkedIn](https://www.linkedin.com/company/lexis-solutions).
### Support Our Work
If you're happy with our work and scrapers, you're welcome to leave us a company review [here](https://apify.com/partners/find/lexis-solutions/review) and leave a review for the scrapers you're subscribed to.
### Image Credit
Image credit: [adecco.com](https://www.adecco.com/).
# Actor input Schema
## `startUrls` (type: `array`):
Adecco search or job detail URLs to start with.
## `maxItems` (type: `integer`):
Maximum number of jobs per original search URL. Detail URLs count as one item.
## `proxyConfiguration` (type: `object`):
Your proxy configuration from Apify.
## Actor input object example
```json
{
"startUrls": [
{
"url": "https://www.adecco.com/en-us/job-search?jobTitle=manager"
},
{
"url": "https://www.adecco.com/en-us/job-search/manufacturing-machine-operator-stratham-new-hampshire/us_en_99_026456_2541314"
}
],
"maxItems": 10,
"proxyConfiguration": {
"useApifyProxy": true
}
}
```
# Actor output Schema
## `overview` (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 = {
"startUrls": [
{
"url": "https://www.adecco.com/en-us/job-search?jobTitle=manager"
},
{
"url": "https://www.adecco.com/en-us/job-search/manufacturing-machine-operator-stratham-new-hampshire/us_en_99_026456_2541314"
}
]
};
// Run the Actor and wait for it to finish
const run = await client.actor("lexis-solutions/adecco-scraper").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 = { "startUrls": [
{ "url": "https://www.adecco.com/en-us/job-search?jobTitle=manager" },
{ "url": "https://www.adecco.com/en-us/job-search/manufacturing-machine-operator-stratham-new-hampshire/us_en_99_026456_2541314" },
] }
# Run the Actor and wait for it to finish
run = client.actor("lexis-solutions/adecco-scraper").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 '{
"startUrls": [
{
"url": "https://www.adecco.com/en-us/job-search?jobTitle=manager"
},
{
"url": "https://www.adecco.com/en-us/job-search/manufacturing-machine-operator-stratham-new-hampshire/us_en_99_026456_2541314"
}
]
}' |
apify call lexis-solutions/adecco-scraper --silent --output-dataset
```
## MCP server setup
```json
{
"mcpServers": {
"apify": {
"command": "npx",
"args": [
"mcp-remote",
"https://mcp.apify.com/?tools=lexis-solutions/adecco-scraper",
"--header",
"Authorization: Bearer "
]
}
}
}
```
## OpenAPI specification
```json
{
"openapi": "3.0.1",
"info": {
"title": "Adecco Jobs Scraper",
"description": "Scrape Adecco US jobs at scale: extract titles, locations, salary, contract type, category, posting dates, recruiter and full descriptions from search or job URLs into structured JSON/CSV for recruiting and labor market analytics.",
"version": "1.0",
"x-build-id": "IzHjm6lTp24zrctmT"
},
"servers": [
{
"url": "https://api.apify.com/v2"
}
],
"paths": {
"/acts/lexis-solutions~adecco-scraper/run-sync-get-dataset-items": {
"post": {
"operationId": "run-sync-get-dataset-items-lexis-solutions-adecco-scraper",
"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/lexis-solutions~adecco-scraper/runs": {
"post": {
"operationId": "runs-sync-lexis-solutions-adecco-scraper",
"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/lexis-solutions~adecco-scraper/run-sync": {
"post": {
"operationId": "run-sync-lexis-solutions-adecco-scraper",
"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": [
"startUrls"
],
"properties": {
"startUrls": {
"title": "Start URLs",
"type": "array",
"description": "Adecco search or job detail URLs to start with.",
"items": {
"type": "object",
"required": [
"url"
],
"properties": {
"url": {
"type": "string",
"title": "URL of a web page",
"format": "uri"
}
}
}
},
"maxItems": {
"title": "Maximum number of items",
"type": "integer",
"description": "Maximum number of jobs per original search URL. Detail URLs count as one item.",
"default": 10
},
"proxyConfiguration": {
"title": "Proxy Configuration",
"type": "object",
"description": "Your proxy configuration from Apify.",
"default": {
"useApifyProxy": true
}
}
}
},
"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
}
}
}
}
}
}
}
}
}
}
```