# GoWork FR & DE Company Reviews and Profile Scraper (`abotapi/gowork-eu-scraper`) Actor

Extract company profiles from GoWork France and Germany, including contact details, review threads with replies, ratings breakdowns, opening hours, social links, SIREN/NAF identifiers, and 100+ structured company fields. Supports keyword search, URL input, and bulk sitemap discovery.

- **URL**: https://apify.com/abotapi/gowork-eu-scraper.md
- **Developed by:** [Abot API](https://apify.com/abotapi) (community)
- **Categories:** Lead generation, Developer tools, Other
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $1.00 / 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.
Since this Actor supports Apify Store discounts, the price gets lower the higher subscription plan you have.

Learn more: https://docs.apify.com/actors/running/actors-in-store.md#pay-per-event

## What's an Apify Actor?

Actors are web data automations that power AI and operations. They run on the Apify platform to scrape websites, process data, connect APIs, and automate workflows.
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.

- **AI agents and MCP clients** — the [Apify MCP server](https://docs.apify.com/integrations/mcp.md) at `https://mcp.apify.com` (remote, streamable HTTP, OAuth on first use).
- **Agentic workflows and local Actor development** — [Agent Skills](https://apify.com/.well-known/agent-skills/index.json) with the [Apify CLI](https://docs.apify.com/cli/docs.md): `npm install -g apify-cli`, then `apify login`.
- **JavaScript/TypeScript projects** — the official [JS/TS client](https://docs.apify.com/api/client/js/docs.md): `npm install apify-client`.
- **Python projects** — the official [Python client](https://docs.apify.com/api/client/python/docs.md): `pip install apify-client`.
- **Any other language** — 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

## GoWork FR + DE: Company Reviews, Ratings, and Profile Data

Pulls company profiles from GoWork France (gowork.fr) and Germany (gowork.de), the largest employer-review portals in those markets. One run gives you company contact info, full review threads with replies, star-rating histograms, opening hours, social links, FR company identifiers (SIREN, NAF code), and 100+ structured fields per company. Three start modes: free-text search, paste-in URLs, or bulk sitemap discovery.

### Why this scraper

- 130+ structured fields per company (vs ~50 in legacy alternatives), including parsed geo coordinates, SIRET, employee count min/max, capital amount/currency, full review thread tree with replies, rating histogram with star counts and percentages, opening hours, trusted partners list, social links (LinkedIn, Instagram, Facebook, Twitter, YouTube, TikTok), and computed fields (response rate, reply count, language distribution, year distribution).
- Auto-paging on search and URL-mode SERP URLs.
- Two locales out of the box: France and Germany.
- Three start modes. Search by query, paste a list of URLs (multi-URL, forward-paginated), or walk the sitemap for bulk discovery.
- Two output shapes via the `output` field: `company` (default; one row per company with reviews nested) or `reviews` (flat; one row per review with company context joined in, ideal for BI).
- Multi-search isolation, so 3 queries x 5 listings each does not all come from query #1.
- $1 per 1K results on Gold plan with the lean (no detail) mode; only $0.50 / 1K extra on detail enrichment when you need the full review history.

### Data you get

Sample shape; values are illustrative placeholders, not from a live listing.

| Field | Example |
| --- | --- |
| `slug` | `sample-company-paris` |
| `url` | `https://gowork.fr/sample-company-paris` |
| `siteLocale` | `fr` |
| `org_name` | `Sample Company` |
| `longName` | `SAMPLE COMPANY SAS` |
| `org_telephone` | `+33100000000` |
| `companyEmail` | `contact@example.com` |
| `companyWebsite` | `https://example.com/` |
| `companyLinkedInUrl` | `https://fr.linkedin.com/company/sample` |
| `companyInstagramUrl` | `https://www.instagram.com/sample/` |
| `companyFacebookUrl` | `https://www.facebook.com/sample/` |
| `org_street_address` | `1 Rue de Sample, 75001 PARIS` |
| `postalCode` | `75001` |
| `org_address_locality` | `Paris` |
| `org_address_region` | `Île-de-France` |
| `org_address_country` | `FR` |
| `latitude` / `longitude` | `48.8566 / 2.3522` |
| `siren` | `000000000` |
| `siret` | `00000000000000` |
| `nafCode` | `0000A` |
| `companyEmployeeCountLabel` | `501-1000` |
| `companyEmployeeCountMin` / `Max` | `501` / `1000` |
| `companyCapital` | `50000 EUR` |
| `companyCapitalAmount` / `Currency` | `50000` / `EUR` |
| `companyFoundedDate` | `2017-09-06` |
| `businessTradeName` | `Industry sector` |
| `companyBusinessArea` | `Industry & Manufacturing` |
| `companyActivityDescription` | `Operational engineering consulting...` |
| `org_rating_value` | `4.8` |
| `org_rating_count` | `4` |
| `pageGlobalReviewCount` | `21` |
| `ratingStar1Count`..`ratingStar5Count` | `0, 0, 0, 1, 3` |
| `ratingStar1Percent`..`ratingStar5Percent` | `0, 0, 0, 25, 75` |
| `ratingHistogramScoredTotal` | `4` |
| `companyOpeningHoursJson` | `{"lundi":"08:00-19:00", ...}` |
| `companyTrustedPartnersJson` | `[{"name":"Partner","profileUrl":"...","logoUrl":"..."}]` |
| `companyTrustedPartnersCount` | `13` |
| `breadcrumbs` | `[{"name":"Sample","url":"/avis/sample"}, ...]` |
| `keywords` | `["sector","activity","tag1"]` |
| `companySocialLinks` | `[{"network":"linkedin","url":"..."}, ...]` |
| `firstReviewDate` / `lastReviewDate` | `2021-04-23T16:43:00.000Z` |
| `responseRate` | `60` |
| `avgRepliesPerReview` | `1.3` |
| `replyCountTotal` | `13` |
| `reviewLanguagesAvailable` | `["fr"]` |
| `reviewYearDistribution` | `{"2024": 5, "2025": 3}` |
| `reviews` | array of `{reviewId, reviewerName, reviewDate, content, ratingValue, languageCode, authorKind, replies[]}` |
| `mainTextPreview` | `Operational engineering, hiring info...` |
| `pageTitle`, `metaDescription`, `ogTitle`, ... | full SEO bundle |
| `jsonLd` | raw JSON-LD blocks |
| `scrapedAt` | `2026-01-01T00:00:00.000Z` |

### How to use

Search by query (lean, no detail enrichment):

```json
{
  "mode": "search",
  "locale": "fr",
  "queries": ["Carrefour"],
  "fetchDetails": false,
  "maxListings": 25
}
```

Search with full detail enrichment (review threads, opening hours, histogram):

```json
{
  "mode": "search",
  "locale": "fr",
  "queries": ["Carrefour", "Auchan"],
  "fetchDetails": true,
  "maxPages": 2,
  "maxListings": 50,
  "maxReviewsPerCompany": 100
}
```

URL mode (paste detail URLs or search URLs):

```json
{
  "mode": "url",
  "urls": [
    "https://gowork.fr/b-hive-mulhouse",
    "https://gowork.fr/search?q=Carrefour&page=2",
    "https://gowork.de/lidl-deutschland-bad-wildungen"
  ],
  "fetchDetails": true,
  "maxListings": 30
}
```

Sitemap mode (bulk discovery; free-text filter is optional):

```json
{
  "mode": "sitemap",
  "locale": "fr",
  "sitemapKind": "constant",
  "sitemapFilter": "lidl",
  "fetchDetails": true,
  "maxListings": 100
}
```

Reviews-only output (one row per review, company fields joined in; BI-friendly):

```json
{
  "mode": "url",
  "urls": ["https://gowork.fr/b-hive-mulhouse"],
  "output": "reviews",
  "maxReviewsPerCompany": 50
}
```

### Input parameters

| Parameter | Type | Default | Description |
| --- | --- | --- | --- |
| `mode` | enum | `search` | `search`, `url`, or `sitemap` |
| `locale` | enum | `fr` | `fr` (gowork.fr) or `de` (gowork.de). URL mode auto-detects from host. |
| `queries` | string\[] | `["Carrefour"]` | Free-text search terms. One query per SERP walk. |
| `urls` | string\[] | `["https://gowork.fr/b-hive-mulhouse"]` | Detail URLs or search URLs (multi, forward-paginated) |
| `sitemapKind` | enum | `constant` | `constant` / `cities` / `regions` / `rankings` / `all` |
| `sitemapFilter` | string | `""` | Case-insensitive substring filter on the slug |
| `output` | enum | `company` | `company` (one row per company; reviews nested) or `reviews` (one row per review; company fields joined in). reviews auto-enables fetchDetails. |
| `fetchDetails` | boolean | `true` | OFF returns SERP-only records (cheaper). ON parses every detail page. |
| `maxPages` | integer | (empty) | Pagination cap per query / per SERP URL. Leave empty to walk every result page (still bounded by `maxListings`). |
| `maxListings` | integer | `25` | Total cap across the run. `0` = unlimited. |
| `maxReviewsPerCompany` | integer | `50` | Cap on review threads per company. `0` = unlimited. |
| `minRating` | integer | `0` | Skip companies whose average rating is below this. |
| `minReviewCount` | integer | `0` | Skip companies with fewer than N total reviews. |
| `ratedOnly` | boolean | `false` | Skip companies with no rated reviews. |
| `verifiedOnly` | boolean | `false` | Skip unverified companies. |
| `proxy` | object | Apify Residential FR | Apify residential is required; FR for `.fr`, DE for `.de`. |
| `resumeFromRunId` | string | (empty) | A previous run ID or dataset ID to continue a full-catalogue walk across separate runs. Companies already collected there (matched by slug) are skipped, so this run only saves the new ones. |

### Resuming a full-catalogue walk

For an unbounded pull (`maxPages` left empty, `maxListings: 0`), two things protect a long run:

- A KV-store checkpoint survives a platform migration or a Resurrect of a FAILED run: the run periodically saves its dedup set, and a resumed container reloads it — no re-scraped, re-pushed, or re-charged companies.
- **`resumeFromRunId`** lets you continue in a brand-new run: paste the ID of a previous run (or its dataset), and this run skips every company slug already saved there, appending only new companies.

### Send results into your apps (MCP connectors)

Optionally pipe the scraped results into the apps you already use, via Model Context Protocol (MCP) connectors. This is an extra delivery step **after** the scrape — the Apify dataset is never changed.

**What gets written to the connector:** a condensed, human-readable **summary** of each record — not the full JSON. Each item becomes one entry with a **title** and its key fields flattened to plain text. The **complete record always stays in the Apify dataset**.

1. Authorize a connector once under **Apify → Settings → Integrations** (Notion, Linear, Airtable, or Apify).
2. Select it in the **"Pipe results into your apps"** input field. (If the picker is empty, you haven't authorized a connector yet.)
3. For **Notion**, also set `notionParentPageUrl` to the page where items should be created.

The connection is mediated by Apify's MCP proxy, so this actor never sees your third-party credentials. Leave the field empty to skip.

### Output example

Sample shape; values are illustrative placeholders, not from a live listing.

```json
{
  "source": "gowork_detail",
  "slug": "sample-company-paris",
  "url": "https://gowork.fr/sample-company-paris",
  "siteLocale": "fr",
  "scrapedAt": "2026-01-01T00:00:00.000Z",
  "pageTitle": "Avis sur Sample Company - 21 avis - GoWork.fr",
  "h1": "Avis Sample Company",
  "htmlLang": "fr-FR",
  "ogImage": "https://gowork.fr/assets/images/sharing/thread/cover-fr.jpg",
  "canonicalUrl": "https://gowork.fr/sample-company-paris",
  "isUpstreamChallenge": false,
  "org_name": "SAMPLE COMPANY",
  "longName": "SAMPLE COMPANY SAS",
  "org_telephone": "+33100000000",
  "org_tax_id": "000000000",
  "org_description": "Operational engineering consulting...",
  "org_founding_date": "2017-09-06",
  "org_street_address": "1 Rue de Sample, 75001 PARIS",
  "org_address_locality": "Paris",
  "org_address_region": "Île-de-France",
  "org_address_country": "FR",
  "postalCode": "75001",
  "latitude": 48.8566,
  "longitude": 2.3522,
  "siren": "000000000",
  "siret": "00000000000000",
  "nafCode": "0000A",
  "activityShortLabel": "Engineering, technical studies",
  "companyEmployeeCountLabel": "501-1000",
  "companyEmployeeCountMin": 501,
  "companyEmployeeCountMax": 1000,
  "companyEmail": "contact@example.com",
  "companyWebsite": "https://example.com/",
  "companyLinkedInUrl": "https://fr.linkedin.com/company/sample",
  "companyInstagramUrl": "https://www.instagram.com/sample/",
  "companyFacebookUrl": null,
  "companyTwitterUrl": null,
  "companyYouTubeUrl": null,
  "companyTikTokUrl": null,
  "companySocialLinks": [
    { "network": "linkedin", "url": "https://fr.linkedin.com/company/sample" },
    { "network": "instagram", "url": "https://www.instagram.com/sample/" }
  ],
  "companyBusinessArea": "Industry & Manufacturing",
  "companyActivityDescription": "Operational engineering consulting and design office...",
  "businessTradeName": "Engineering and architecture",
  "businessTradeSlug": "engineering-architecture",
  "companyCapital": "50000 EUR",
  "companyCapitalAmount": 50000,
  "companyCapitalCurrency": "EUR",
  "companyFoundedDate": "2017-09-06",
  "companyOpeningHoursJson": "{\"lundi\":\"08:00-19:00\", ...}",
  "companyOpeningHoursText": "lundi: 08:00-19:00; mardi: 08:00-19:00; ...",
  "companyTrustedPartnersJson": "[{\"name\":\"Partner\", \"profileUrl\":\"...\"}]",
  "companyTrustedPartnersCount": 13,
  "org_rating_value": 4.8,
  "org_rating_count": 4,
  "org_review_count": 4,
  "pageGlobalRating": 4.8,
  "pageGlobalReviewCount": 21,
  "ratingHistogramScoredTotal": 4,
  "ratingStar1Count": 0,
  "ratingStar2Count": 0,
  "ratingStar3Count": 0,
  "ratingStar4Count": 1,
  "ratingStar5Count": 3,
  "ratingStar1Percent": 0,
  "ratingStar2Percent": 0,
  "ratingStar3Percent": 0,
  "ratingStar4Percent": 25,
  "ratingStar5Percent": 75,
  "statisticsRuCount": 10,
  "statisticsRuRootCount": 4,
  "subscriptionsCount": 1,
  "responseRate": 60,
  "avgRepliesPerReview": 1.3,
  "replyCountTotal": 13,
  "reviewLanguagesAvailable": ["fr"],
  "reviewYearDistribution": { "2024": 5, "2025": 3 },
  "firstReviewDate": "2021-04-23T16:43:00.000Z",
  "lastReviewDate": "2026-02-17T13:11:00.000Z",
  "reviews": [
    {
      "reviewId": "00000000-0000-0000-0000-000000000000",
      "reviewerName": "Jane Doe",
      "reviewDate": "01-01-2026 00:00",
      "reviewDateIso": "2026-01-01T00:00:00.000Z",
      "content": "Sample review text appears here.",
      "contentLength": 32,
      "ratingValue": 4,
      "languageCode": "fr",
      "authorKind": "ANONYMOUS",
      "replies": [
        {
          "replyId": "00000000-0000-0000-0000-000000000001",
          "authorName": "Sample Reply",
          "content": "Reply text appears here.",
          "date": "02-01-2026 00:00",
          "dateIso": "2026-01-02T00:00:00.000Z"
        }
      ]
    }
  ],
  "breadcrumbs": [{ "name": "Sample", "url": "/avis/sample" }],
  "keywords": ["industry", "engineering"],
  "companyLogoUrl": "https://example.com/logo.png",
  "mainTextPreview": "Operational engineering, hiring info... (preview)",
  "jsonLd": [
    { "@context": "https://schema.org/", "@type": "Organization", "name": "SAMPLE COMPANY" }
  ]
}
```

### Plan and connection

This scraper requires a residential proxy for reliable access:

- Defaults to Apify Residential FR (or DE for the German locale).
- Free-tier Apify accounts do not include residential proxies. To run on Free, paste your own residential URLs in the proxy field, or upgrade to Starter or above.
- The scraper caches a passing connection in a named key-value store and reuses it for ~25 minutes, so a 100-record run typically pays one connection setup, not 100.

### Pricing (Pay per event)

- Per result (auto): $1.00 / 1K on Gold tier.
- Per detail enrichment (custom event, only fires when `fetchDetails: true` and the detail parse succeeds): $0.50 / 1K on Gold tier.
- A lean run that returns SERP-only records pays only the per-result rate.

### Verification

2026-09-01: audit re-derived the live behaviour. A French search for "boulangerie" reports 6,623
matches and the SERP page parses 25 company cards; the rating filters narrow monotone on those
cards (12 at 3+, 7 at 4+, 4 at 4.5+), and the review-count and rated-only filters behave as
documented. A company detail URL returns the full profile: contact fields, rating histogram,
opening hours, review threads with replies, and 100+ populated fields.

# Actor input Schema

## `mode` (type: `string`):

Pick how to seed companies. search: free-text queries. url: paste detail or search URLs (multi). sitemap: walk the gowork.fr or gowork.de sitemap index for bulk discovery.

## `locale` (type: `string`):

Applies to search and sitemap modes. URL mode infers locale from the host (gowork.fr vs gowork.de) automatically.

## `queries` (type: `array`):

Search terms (company name, brand, or keyword). One query becomes one SERP walk.

## `urls` (type: `array`):

Paste detail URLs (e.g. https://gowork.fr/b-hive-mulhouse) or full search URLs (e.g. https://gowork.fr/search?q=Carrefour\&page=2). Multi-URL supported. Filter-mode fields are ignored. Search URLs auto-paginate forward.

## `sitemapKind` (type: `string`):

Which sitemap shard family to walk. "constant" yields company profile URLs and is the most useful for bulk seeding.

## `sitemapFilter` (type: `string`):

Case-insensitive substring filter applied to discovered URLs (matches the slug part). Empty = no filter.

## `output` (type: `string`):

company: standard one-record-per-company shape with reviews nested. reviews: flat shape, each review becomes its own row with companySlug / companyName / companySiteLocale / companyRating / etc. joined in. reviews mode auto-enables fetchDetails.

## `fetchDetails` (type: `boolean`):

When ON, fetches full company details: opening hours, all reviews, rating histogram, social links, NAF code, geo coordinates. When OFF, only SERP-card data is returned (no detail surcharge). Auto-promoted to ON when output=reviews.

## `maxPages` (type: `integer`):

Pagination ceiling per search query / per SERP URL. Leave empty to walk every result page (still bounded by maxListings). URL-mode detail URLs ignore this.

## `maxListings` (type: `integer`):

Hard ceiling on companies returned across the whole run, regardless of mode (search / url / sitemap). 0 = unlimited (only bounded by Apify's per-run timeout). This is the authoritative budget cap, applied AFTER per-search pagination.

## `maxReviewsPerCompany` (type: `integer`):

Cap on review threads (each thread can also include replies) returned per company. 0 = unlimited.

## `minRating` (type: `integer`):

Skip companies whose aggregate rating is below this threshold (0-5). Applied client-side.

## `minReviewCount` (type: `integer`):

Skip companies with fewer than N total reviews.

## `ratedOnly` (type: `boolean`):

Skip companies with no scored reviews on file (aggregate rating count is zero).

## `verifiedOnly` (type: `boolean`):

Skip companies not marked as verified.

## `proxy` (type: `object`):

This actor uses a residential proxy by default — Apify Residential FR, or DE for the German locale. Free-tier accounts without residential access can paste their own residential proxy URLs here.

## `mcpConnectors` (type: `array`):

Optionally send the scraped results into the apps you already use, via Model Context Protocol (MCP) connectors. Authorize a connector once under Apify → Settings → Integrations, then select it here. The connector receives a condensed, human-readable summary per item (title + key fields), not the full JSON — the complete record stays in the dataset. Leave empty to skip. Supported: Notion (https://mcp.notion.com/mcp), Linear (https://mcp.linear.app/sse), Airtable (https://mcp.airtable.com/mcp), Apify (https://mcp.apify.com).

## `notionParentPageUrl` (type: `string`):

URL (or id) of the Notion page under which item pages are created. Required to enable the Notion export; ignored by other connectors.

## `maxNotifyListings` (type: `integer`):

Cap on items written to each connector per run. Does not affect the dataset.

## `resumeFromRunId` (type: `string`):

Paste a previous run ID or dataset ID to continue a full-catalogue walk across separate runs. Companies already collected there (matched by slug) are skipped, so this run only saves the new ones. Leave empty for a normal fresh run. Do not combine with Incremental mode below unless this is the very first incremental run for a new state key — the two solve different problems (one interrupted run vs. recurring monitoring of the same search).

## `incrementalMode` (type: `boolean`):

For a search/URL/sitemap config you run on a schedule (e.g. daily). The actor remembers the companies it saw last time and labels every row's `changeType`: NEW, UPDATED, UNCHANGED, REAPPEARED, or EXPIRED (only when 'Emit expired' is on). Distinct from 'Resume from a previous run' above, which continues one interrupted run instead of tracking a recurring search. Off by default so a normal run's output shape is unchanged.

## `stateKey` (type: `string`):

Names the saved baseline this run compares against. Leave empty to auto-derive one from your mode/queries/urls/sitemap settings/filters (so two different searches never share a baseline). Set your own value if you want multiple scheduled runs of the SAME search to intentionally share one baseline, or to give a search a stable name across small filter tweaks.

## `emitUnchanged` (type: `boolean`):

When ON, incremental mode also pushes companies with no detected change (changeType=UNCHANGED). Off by default: a quiet run returns only what's new or changed. Turning this on returns — and bills — a row for every tracked company, every run.

## `emitExpired` (type: `boolean`):

When ON, incremental mode pushes a changeType=EXPIRED row for any previously-tracked company no longer found, but ONLY after a run that scanned the full tracked search with no cap/page limit cutting it short and no resumeFromRunId (a partial scan can never prove a company is really gone). Off by default: this also bills one extra row per expired company.

## Actor input object example

```json
{
  "mode": "search",
  "locale": "fr",
  "queries": [
    "Carrefour"
  ],
  "urls": [
    "https://gowork.fr/b-hive-mulhouse"
  ],
  "sitemapKind": "constant",
  "sitemapFilter": "",
  "output": "company",
  "fetchDetails": true,
  "maxListings": 25,
  "maxReviewsPerCompany": 50,
  "minRating": 0,
  "minReviewCount": 0,
  "ratedOnly": false,
  "verifiedOnly": false,
  "proxy": {
    "useApifyProxy": true,
    "apifyProxyGroups": [
      "RESIDENTIAL"
    ],
    "apifyProxyCountry": "FR"
  },
  "maxNotifyListings": 50,
  "incrementalMode": false,
  "emitUnchanged": false,
  "emitExpired": false
}
```

# Actor output Schema

## `overview` (type: `string`):

No description

## `reviewsSummary` (type: `string`):

No description

## `reviewsFlat` (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 '<YOUR_API_TOKEN>' with your token
const client = new ApifyClient({
    token: '<YOUR_API_TOKEN>',
});

// Prepare Actor input
const input = {
    "mode": "search",
    "queries": [
        "Carrefour"
    ],
    "urls": [
        "https://gowork.fr/b-hive-mulhouse"
    ],
    "proxy": {
        "useApifyProxy": true,
        "apifyProxyGroups": [
            "RESIDENTIAL"
        ],
        "apifyProxyCountry": "FR"
    },
    "incrementalMode": false,
    "emitUnchanged": false,
    "emitExpired": false
};

// Run the Actor and wait for it to finish
const run = await client.actor("abotapi/gowork-eu-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 '<YOUR_API_TOKEN>' with your token.
client = ApifyClient("<YOUR_API_TOKEN>")

# Prepare the Actor input
run_input = {
    "mode": "search",
    "queries": ["Carrefour"],
    "urls": ["https://gowork.fr/b-hive-mulhouse"],
    "proxy": {
        "useApifyProxy": True,
        "apifyProxyGroups": ["RESIDENTIAL"],
        "apifyProxyCountry": "FR",
    },
    "incrementalMode": False,
    "emitUnchanged": False,
    "emitExpired": False,
}

# Run the Actor and wait for it to finish
run = client.actor("abotapi/gowork-eu-scraper").call(run_input=run_input)

# Fetch and print Actor results from the run's dataset (if there are any)
print(f"💾 Check your data here: https://console.apify.com/storage/datasets/{run.default_dataset_id}")
for item in client.dataset(run.default_dataset_id).iterate_items():
    print(item)

# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start

```

## CLI example

```bash
echo '{
  "mode": "search",
  "queries": [
    "Carrefour"
  ],
  "urls": [
    "https://gowork.fr/b-hive-mulhouse"
  ],
  "proxy": {
    "useApifyProxy": true,
    "apifyProxyGroups": [
      "RESIDENTIAL"
    ],
    "apifyProxyCountry": "FR"
  },
  "incrementalMode": false,
  "emitUnchanged": false,
  "emitExpired": false
}' |
apify call abotapi/gowork-eu-scraper --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,abotapi/gowork-eu-scraper"
        }
    }
}

```

The hosted server signs you in with OAuth on first connect, so no API token belongs in this config. Clients without OAuth support can send an `Authorization: Bearer <APIFY_API_TOKEN>` header instead, using a token from API & Integrations in Apify Console (https://console.apify.com/settings/integrations).

## OpenAPI specification

Download the OpenAPI definition: https://api.apify.com/v2/actors/SCr4v2oZMYrsUXzjW/builds/XMzjZAB5Fp5OGhIAa/openapi.json