GoWork Scraper icon

GoWork Scraper

Extract company profiles from GoWork France and Germany, including contact details, review threads with replies, ratings breakdowns, opening hours,…

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GoWork Scraper at a glance

GoWork Scraper is a ready-to-run Apify actor from abotapi for collecting lead generation data. Its documented output includes record type, co. slug, co. url, co. locale and co. name, which you can export as JSON, CSV or Excel or read through the Apify API. It costs $1.70 per 1,000 results on the Apify Free plan and from $1.00 on paid plans, with smaller per-run or optional feature charges listed on Apify.

Runs on
Apify cloud: console, API, schedules and integrations
Data type
Lead Generation, Developer Tools, Other
Pricing
$1.70 per 1,000 results (Free plan), from $1.00 on paid plans
Output
Documented below · JSON, CSV, Excel
Inputs
24 options

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.

What GoWork Scraper can do

  • 100+ fields. Structured fields per company, including parsed geo coordinates, French SIREN/SIRET/NAF identifiers, employee count range, capital amount and currency, a full review thread tree with replies, a star-rating histogram with counts and percentages, opening hours, and social links.
  • Two output shapes. One row per company with reviews nested inside, or one row per review with the company's context joined in, built for BI tools.
  • Three ways in. Free-text search, paste company or search-result links, or walk GoWork's own sitemap for bulk discovery, with auto-paging on search and pasted search-result links.
  • FR and DE. Covers both GoWork France and GoWork Germany from the same input form; URL mode also detects the locale from the link itself.
  • Filters. Client-side filters skip companies below a rating or review-count threshold, or that have no scored reviews or aren't marked verified, so a capped run spends its budget on the companies you actually want.
  • Resume and incremental. Resume continues an interrupted run without re-collecting (or re-paying for) companies it already saved; Incremental mode tracks a saved search over time and labels every row NEW, UPDATED, UNCHANGED, REAPPEARED or EXPIRED.

Choose what to collect

These inputs let you configure GoWork Scraper - Companies, Reviews, Ratings & Contacts. Open the actor on Apify to enter your values and review the current options.

Supported input fields
InputWhat it controls
modestring · requiredPick 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.

Choices: search, url, sitemap

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

Choices: fr, de

queriesarraySearch terms (company name, brand, or keyword). One query becomes one SERP walk.
urlsarrayPaste company detail URLs (e.g. https://gowork.fr/b-hive-mulhouse, or with a numeric suffix such as https://gowork.fr/le-carrefour-de-la-fleur-montigny-en-gohelle,1), search URLs (e.g. https://gowork.fr/search?q=Carrefour&page=2, or https://gowork.fr/search for all companies, on gowork.fr or gowork.de), category listing pages (https://gowork.fr/avis/paris;l for a city or region, https://gowork.fr/avis/location-de-logements;tr for a trade, https://gowork.fr/avis/7112b;a for an activity area), a sitemap index (https://gowork.fr/sitemap.xml or https://gowork.de/sitemap.xml) or a single sitemap shard (https://gowork.fr/sitemap_company_1.xml.gz for company profiles, https://gowork.fr/sitemap_cities_1.xml.gz for city listing pages). Sitemap links discover companies per the sitemap kind setting and Max companies. Multi-URL supported. Search and listing URLs auto-paginate forward. Leaving this field untouched works through one example of each shape in order, within the shared Max companies budget.
sitemapKindstringWhich sitemap shard family to walk. "companies" yields company profile URLs and is the most useful for bulk seeding ("constant" is the old name and means the same). Also used when you paste a /sitemap.xml link in URL mode.

Choices: companies, constant, cities, regions, rankings, all

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

Choices: company, reviews

Show 17 more inputs
More input fields
InputWhat it controls
fetchDetailsbooleanWhen 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); listing-link rows then carry the card's rounded whole-number rating and no review count. Auto-promoted to ON when output=reviews.
maxPagesintegerPagination ceiling per search query / per SERP URL. Leave empty to walk every result page (still bounded by maxListings). URL-mode detail URLs ignore this.
maxListingsintegerHard 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.
maxReviewsPerCompanyintegerCap on review threads (each thread can also include replies) returned per company. 0 = unlimited. A company page carries up to 30 threads; a higher cap opens that company's following review pages (roughly one extra request for every further block of 30 threads).
minRatingintegerSkip companies whose aggregate rating is below this threshold (0-5). Applied client-side. On listing links with Fetch full company detail off it compares against the card's rounded whole-number rating (2.6 counts as 3); turn detail on for the exact rating.
minReviewCountintegerSkip companies with fewer than N total reviews. City, trade and activity-area listing cards show no review count: turn on full company detail to apply this on those links.
ratedOnlybooleanSkip companies with no scored reviews on file (aggregate rating count is zero).
verifiedOnlybooleanSkip companies not marked as verified.
resumeFromRunIdstringPaste 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).
incrementalModebooleanFor 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). A company is UPDATED when any output field differs from last time (rating, review counts, reviews, address, detail fields and so on), except scrapedAt and the fields you list under 'Ignore fields when detecting changes'. 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.
stateKeystringNames 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.
emitUnchangedbooleanWhen 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.
emitExpiredbooleanWhen 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.
ignoreFieldsForChangesarrayField names left out of the UPDATED comparison, one per line. Nested paths use dots (for example reviews.content) and apply to every element of a list. The row still contains these fields; they just never turn a company into UPDATED or appear in changedFields. scrapedAt is always ignored. Changing this list never causes a one-time wave of UPDATED rows: the saved baseline is re-compared with the new list.
mcpConnectorsarrayOptionally 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).
notionParentPageUrlstringURL (or id) of the Notion page under which item pages are created. Required to enable the Notion export; ignored by other connectors.
maxNotifyListingsintegerCap on items written to each connector per run. Does not affect the dataset.

Fields in the output

The documented dataset includes the fields below. Availability can depend on the source page and selected mode.

sourceRecord type
slugCo. slug
urlCo. URL (link)
siteLocaleCo. locale
org_nameCo. name
longNameCo. long name
org_telephoneCo. phone
companyEmailCo. email
companyWebsiteCo. website (link)
businessTradeNameCo. trade
org_rating_valueCo. rating (number)
pageGlobalReviewCountCo. reviews (number)
Show 57 more fields
companySlugReview co. slug
companyNameReview co. name
companySiteLocaleReview co. locale
companyRatingReview co. rating (number)
reviewIdReview ID
reviewerNameReviewer
reviewDateIsoReview date
ratingValueReview stars (number)
authorKindAuthor kind
labelReview label
replyCountReview replies (number)
contentReview content
changeTypeChange type (incremental mode)
changedFieldsChanged fields (incremental mode)
firstSeenAtFirst seen (incremental mode)
lastSeenAtLast seen (incremental mode)
scrapedAtScraped
companyLinkedInUrlLinkedIn (link)
companyInstagramUrlInstagram (link)
companyFacebookUrlFacebook (link)
org_street_addressAddress
postalCodeZIP
org_address_localityCity
org_address_regionRegion
org_address_countryCountry
latitudeLat
longitudeLng
sirenSIREN
nafCodeNAF
activityShortLabelActivity
companyEmployeeCountLabelEmployees
companyEmployeeCountMinEmpl. min
companyEmployeeCountMaxEmpl. max
companyBusinessAreaSector
org_rating_countRated
ratingStar1Count★1
ratingStar2Count★2
ratingStar3Count★3
ratingStar4Count★4
ratingStar5Count★5
lastReviewDateLast review
firstReviewDateFirst review
responseRateReply %
reviewCountFromTitleFrom title
statisticsRuCountThreads
statisticsRuRootCountRoots
ratingStar1Percent★1 %
ratingStar2Percent★2 %
ratingStar3Percent★3 %
ratingStar4Percent★4 %
ratingStar5Percent★5 %
replyCountTotalReplies
reviewLanguagesAvailableLanguages
languageCodeLang
popularityScorePop
plusCount+
minusCount-

Example output

An example from this actor’s documentation. Values are illustrative; this is not a fresh live result.

{
  "source": "gowork_detail",
  "listingId": "sample-company-paris",
  "slug": "sample-company-paris",
  "url": "https://gowork.fr/sample-company-paris",
  "siteLocale": "fr",
  "originalSearchUrl": "https://gowork.fr/sample-company-paris",
  "searchIndex": 0,
  "scrapedAt": "2026-01-05T09:00:00.000Z",
  "pageTitle": "Avis sur Sample Company - 31 avis - GoWork.fr",
  "h1": "Avis Sample Company",
  "htmlLang": "fr-FR",
  "canonicalUrl": "https://gowork.fr/sample-company-paris",
  "org_name": "Sample Company",
  "longName": "SAMPLE COMPANY SAS",
  "org_telephone": "+33100000000",
  "org_tax_id": "000000000",
  "org_description": "Wholesale distribution and logistics services for retail clients.",
  "org_street_address": "1 Rue de Sample, 75001 Paris",
  "org_address_locality": "Paris",
  "org_address_region": "Ile-de-France",
  "org_address_country": "FR",
  "postalCode": "75001",
  "latitude": 48.8566,
  "longitude": 2.3522,
  "siren": "000000000",
  "siret": "00000000000000",
  "nafCode": "0000A",
  "activityShortLabel": "Wholesale distribution, warehousing",
  "companyEmployeeCountLabel": "201-500",
  "companyEmployeeCountMin": 201,
  "companyEmployeeCountMax": 500,
  "companyEmail": "contact@example.com",
  "companyWebsite": "https://example.com/",
  "companyLinkedInUrl": "https://fr.linkedin.com/company/sample",
  "companySocialLinks": [
    {
      "network": "linkedin",
      "url": "https://fr.linkedin.com/company/sample"
    }
  ],
  "companyBusinessArea": "Wholesale and Logistics",
  "companyActivityDescription": "Wholesale distribution and logistics services for retail clients.",
  "businessTradeName": "Retail Distribution",
  "businessTradeSlug": "retail-distribution",
  "companyCapital": "80000 EUR",
  "companyCapitalAmount": 80000,
  "companyCapitalCurrency": "EUR",
  "companyFoundedDate": "2016-06-01",
  "companyOpeningHoursJson": "{\"lundi\":\"09:00-18:00\"}",
  "companyTrustedPartnersCount": 2,
  "org_rating_value": 4.4,
  "org_rating_count": 5,
  "org_review_count": 5,
  "pageGlobalRating": 4.4,
  "pageGlobalReviewCount": 31,
  "ratingHistogramScoredTotal": 5,
  "ratingStar1Count": 0,
  "ratingStar2Count": 0,
  "ratingStar3Count": 1,
  "ratingStar4Count": 1,
  "ratingStar5Count": 3,
  "ratingStar1Percent": 0,
  "ratingStar2Percent": 0,
  "ratingStar3Percent": 20,
  "ratingStar4Percent": 20,
  "ratingStar5Percent": 60,
  "responseRate": 50,
  "avgRepliesPerReview": 1,
  "replyCountTotal": 2,
  "reviewLanguagesAvailable": [
    "fr"
  ],
  "reviewYearDistribution": {
    "2024": 2,
    "2025": 2,
    "2026": 1
  },
  "firstReviewDate": "2022-03-11T09:15:00.000Z",
  "lastReviewDate": "2026-01-04T16:20:00.000Z",
  "reviews": [
    {
      "reviewId": "00000000-0000-0000-0000-000000000000",
      "reviewerName": "Jane Doe",
      "reviewDate": "04-01-2026 16:20",
      "reviewDateIso": "2026-01-04T16:20:00.000Z",
      "content": "Sample review text describing a typical experience working here.",
      "contentLength": 62,
      "ratingValue": 5,
      "languageCode": "fr",
      "authorKind": "ANONYMOUS",
      "isModerated": false,
      "isArchived": false,
      "replyCount": 1,
      "replies": [
        {
          "replyId": "00000000-0000-0000-0000-000000000001",
          "authorName": "Employer Response Team",
          "content": "Sample reply text thanking the reviewer for their feedback.",
          "date": "05-01-2026 09:00",
          "dateIso": "2026-01-05T09:00:00.000Z"
        }
      ]
    }
  ],
  "breadcrumbs": [
    {
      "name": "Sample",
      "url": "/avis/sample"
    }
  ],
  "keywords": [
    "industry",
    "engineering"
  ],
  "mainTextPreview": "Engineering consulting and design office serving industrial clients (preview)",
  "jsonLd": [
    {
      "@context": "https://schema.org",
      "@type": "Organization",
      "name": "SAMPLE COMPANY"
    }
  ]
}

Ways to use this data

  • HR and employer-branding teams: monitor what employees and candidates say about your own company, or a competitor, across France and Germany.
  • Recruitment and staffing agencies: check a client's employer reputation and recurring complaints before placing candidates there.
  • Market and workforce researchers: build datasets of employer ratings, review volume and review activity by sector or region.
  • Business data providers: enrich company records with French SIREN, SIRET and NAF identifiers, employee-count ranges and capital figures.
  • Reputation and response teams: pull review threads with replies to measure response rate and catch new reviews on a recurring schedule.

Before you run

Start with a small input and check the resulting records against your expected fields. Source content and actor options can change; the current Apify listing is the reference for availability and pricing.

Questions about this actor

What data does GoWork Scraper return?

The documented output for GoWork Scraper includes record type, co. slug, co. url, co. locale, co. name, co. long name, co. phone and co. email. Availability of each field depends on the source page and the selected mode.

How much does GoWork Scraper cost?

It costs $1.70 per 1,000 results on the Apify Free plan and from $1.00 on paid plans, with smaller per-run or optional feature charges listed on Apify. The Apify listing shows the current rate for every plan.

Can I get only new or changed companies on a schedule?

Yes. Schedule the actor from the Schedules tab and turn on Incremental mode. Each run then returns only new and updated companies, and unchanged ones are not billed unless Emit unchanged rows is also on. Turn on Emit expired rows too if you also want a row for a company that drops out of your tracked search entirely, but only a run that scans the whole tracked scope with no cap, page limit or resume produces those, and a multi-query or multi-URL run can occasionally end one of its own searches early if it overlaps with another search's results, so treat EXPIRED as reliable only for a single tracked search or URL per run.

Why doesn't turning off Fetch full company detail always change what I'm billed for?

Fetch full company detail only controls the detail-page fetch for search-mode listings. A company link you paste directly in URL mode, or one found through Sitemap discovery mode, is always fetched and billed at the detail rate when it parses successfully, since there is no lighter alternative for a single company page.

Why did my run fail instead of returning an empty dataset?

Only a few conditions fail the run outright: no working connection could be established at all before any scraping started, an invalid combination of Resume and Incremental mode inputs was given, or a pasted Resume run or dataset id could not be read. If a connection is available but individual pages or companies get refused mid-run, those are skipped and logged instead, and the run still finishes with whatever it did manage to collect, even if that turns out to be nothing.

Can I use it with AI agents or MCP?

Yes. Call it from any Apify integration or MCP client, and use the connector field to push results into Notion, Linear or Airtable.

Ready to collect with GoWork Scraper?

Run it on Apify with your own input and export the results as JSON, CSV or Excel.