Choosing a GoYellow.de leads scraper comes down to hosting, code ownership, pricing meter, and output format. This comparison looks at Octoparse, Apify, NanoScrape, visual tools, scripts, and UScraper's GoYellow.de Leads Scraper.
Comparison frame
What a GoYellow.de scraper needs to solve
GoYellow.de is a German business directory, so the scraping problem is not just "get names and phone numbers." A useful GoYellow directory scraping tool accepts a keyword and city, loads result pages reliably, handles consent prompts, detects pagination, normalizes mixed listing data, and keeps the source URL with each exported row.
The UScraper bundle starts from a public search path such as https://www.goyellow.de/suche/Auto/Berlin, creates stable hidden rows, and exports titel, branche, oeffnungszeiten, strasse, plz, stadt, e_mail, telefon, fax, facebook, website, social_media_links, ueber_uns, sprachen, and source_url.
Before you compare tools, review the current GoYellow terms and source behavior manually. A scraper speeds collection; it does not settle permission, database-rights, privacy, retention, or outreach questions.
The right question is not only "can this extract leads?" It is "can our team explain the source, run settings, output fields, costs, and downstream use?"
Side by side
GoYellow.de scraper alternatives compared
| Option | Best fit | Hosting | Code needed | Output shape | Pricing shape | Main trade-off |
|---|---|---|---|---|---|---|
| UScraper + GoYellow.de Leads Scraper | Local CSV review, visual workflow edits, one keyword/city search at a time | Local desktop app | Low | CSV with business, contact, social, about, language, and source URL fields | Free template; UScraper licensing applies | You own validation, pacing, and selector updates when the source changes |
| Octoparse GoYellow.de template | Hosted no-code extraction from a ready-made template | Vendor workspace and cloud options | Low | Table export from keyword input | Free and paid SaaS tiers; confirm current limits | Convenient start, but runs and data live inside the vendor workflow |
| Apify GoYellow.de actors | Cloud automation, actor API calls, datasets, schedules | Apify cloud | Low to medium | Dataset exports, JSON, CSV, API delivery | Platform usage plus actor economics | Strong automation model, but not local-by-default |
| NanoScrape GoYellow.de actor | Lightweight API-style SERP extraction | Cloud actor | Medium | Structured business listings | Per-result or per-SERP style meter | Efficient for developer workflows, less friendly for visual edits |
| ParseHub, WebHarvy, and visual scrapers | Directory scraping when no exact template fits | Desktop-assisted or vendor cloud | Low to medium | Custom table export | Free and paid plans vary by tool | Flexible, but you still maintain selectors |
| Custom scripts | Engineering-owned collection, tests, retries, storage | Your machine, server, or job runner | High | Whatever you implement | Developer time plus infrastructure | Maximum control, highest maintenance burden |
This is not a universal ranking of the best web scraping software. Match the tool to the deliverable: a one-off local lead audit, a recurring data feed, or an engineering-owned crawler.
Where UScraper wins
Why choose UScraper for GoYellow.de lead export
UScraper is strongest when an operator wants to see the workflow, run it locally, and inspect a CSV before importing data into a CRM or enrichment sheet. The GoYellow.de Leads Scraper template exposes the run as blocks: Navigate, wait, normalize, export, check for the next page, click, and end.
That visual flow matters for directory work. If the first page returns too few rows, you can check consent, #uscraper-goyellow-rows, #uscraper-next-page-link, and the export path without opening an actor repository.
The local desktop app model also changes custody and cost planning. The run happens on the operator machine, the CSV lands in the folder you choose, and UScraper uses product licensing instead of a cloud-credit meter for every run.
The honest limitation is scale automation. If you need scheduled cloud jobs, remote API delivery, proxy pools, and centralized logs, Apify or a script may be a better operational fit. UScraper wins when the work is analyst-led, CSV-first, and needs transparent edits more than hosted orchestration.
Pick UScraper when you want a local desktop app, visual blocks, a controlled search URL, and CSV output you can spot-check.
Decision guide
How to choose the best GoYellow directory scraping tool
Define the output
Choose CSV-first tooling for manual review, dedupe, or CRM import. Choose an actor API or script for a pipeline.
Test one search
Run one keyword and city before scaling. Compare exported rows against the visible GoYellow.de result page and note blanks.
Decide who maintains it
Analysts can maintain waits, selectors, and output paths visually. Engineers are better suited for scripts, APIs, queues, and tests.
Check cost against frequency
A one-time batch and a weekly feed should not use the same buying logic. Compare the meter before committing.
For UScraper, import the GoYellow.de Leads Scraper, replace the bundled Auto/Berlin sample with your approved keyword and city, run one page, and compare the CSV against the browser. If you need the operational walkthrough, read the GoYellow.de scraping tutorial. For adjacent workflows, browse the template library or the broader UScraper blog.
Export shape to validate before scaling
The bundle does not include a CSV sample, so the workflow definition is the contract. The export block reads normalized .uscraper-lead-row elements and appends them to goyellow_de_leads_scraper.csv.
{
"project": {
"name": "GoYellowde Leads Scraper",
"description": "Scrapes GoYellow.de lead results for the keyword/location example Auto in Berlin."
},
"blocks": [
{
"title": "Navigate",
"config": {
"url": "https://www.goyellow.de/suche/Auto/Berlin"
}
},
{
"title": "Structured Export",
"config": {
"rowSelector": "#uscraper-goyellow-rows .uscraper-lead-row",
"fileName": "goyellow_de_leads_scraper.csv",
"fileMode": "append",
"columns": [
{ "name": "titel", "attribute": "data-titel" },
{ "name": "branche", "attribute": "data-branche" },
{ "name": "telefon", "attribute": "data-telefon" },
{ "name": "website", "attribute": "data-website" },
{ "name": "source_url", "attribute": "data-source-url" }
]
}
}
]
}
FAQ
GoYellow.de scraper alternatives FAQ
The best option depends on hosting, code comfort, pricing meter, data custody, and output needs. UScraper fits local CSV workflows, Octoparse fits hosted templates, Apify and NanoScrape fit cloud APIs, and scripts fit engineering-owned maintenance.