Agency operators
Partner discovery
Favorable to scraping
Build a shortlist of web design, ecommerce, AI, or development firms with ratings, review volume, pricing language, and location context before manual outreach.
Business Directory$50Free
GoodFirms Service Directory Scraper for CSV Export
This GoodFirms service directory scraper exports service-provider listings from GoodFirms category pages into a structured CSV for agency research, vendor shortlists, competitor scans, and B2B lead discovery. Import the workflow into the UScraper local desktop app, add GoodFirms category URLs, and collect company names, taglines, logos, ratings, review counts, website links, pricing, employee ranges, founding years, and locations without writing code.
Output
CSV
Fields
10
Inputs
Multi-URL
Pagination
Next-page loop
Template
Free
At a glance
Export GoodFirms companies from service categories
GoodFirms service directories are useful when you need a first-pass list of agencies, development companies, design firms, ecommerce specialists, or AI service providers. The bundled Navigate block starts with artificial intelligence, web design, and WooCommerce service categories, but you can replace those with any GoodFirms service listing URL from your research brief.
The automation follows a practical path: Navigate -> wait -> accept basic prompts -> detect verification text -> retry once -> build provider rows -> Structured Export -> click Next -> repeat. If GoodFirms serves a persistent security verification page, the workflow intentionally skips that blocked URL instead of exporting invalid security-page text as company data.
Directory data in one spreadsheet
Export the company fields teams usually need before qualification: name, tagline, logo URL, rating, review count, company website, hourly pricing, employee range, founding year, and location.
Multi-category runs are wired
Add several GoodFirms category URLs, then let append mode combine each page and pagination batch into one CSV with headers.
Local desktop execution
The stock template writes the export to your configured local folder and does not send the CSV through a hosted actor.
Verification-aware flow
The graph checks for "not a bot" and similar verification text, waits, refreshes once, and skips the URL if rows are still blocked.
Who this is for
GoodFirms data extractor use cases
Market researchers
Category mapping
Favorable to scraping
Compare how service categories are populated across GoodFirms, then segment companies by employee range, founding year, country, and visible positioning.
Founders and sales teams
Competitive scans
Nuanced outcome
Export GoodFirms companies in a niche, review their profile taglines, and pass verified website URLs into approved enrichment or CRM workflows.
For a broader service-directory stack, pair this page with the Clutch Scraper, B2BMap Suppliers Scraper, and GoodFirms Software Directory Scraper. Browse the UScraper template library when you need review, search, or enrichment follow-up templates.
How to use
Configure the GoodFirms service directory scraper
2
Add service category URLs
Replace or extend the sample GoodFirms URLs in the Navigate block. Keep one clean service directory URL per input so append mode can combine categories cleanly.
3
Confirm the export path
Structured Export writes goodfirms-scraper-service-directory.csv with headers enabled and append mode on. Change the save folder before client, market, or campaign runs.
4
Run the loop
UScraper loads the page, waits for rendered cards, builds stable row markers, exports matching providers, checks for a next-page control, clicks it, waits again, and continues.
5
Audit the CSV
Spot-check company names, website URLs, ratings, pricing cells, and locations before importing rows into a spreadsheet model, CRM, or research database.
Output preview
CSV columns produced by the template
The export keeps one row per detected GoodFirms provider card. Pricing, review counts, employee ranges, and locations are extracted from visible listing text, so some cells may be blank when a provider card does not expose that detail.
| company_name | rating | number_of_review | firm_pricing | firm_employees | firm_location |
|---|---|---|---|---|---|
| Blue Fountain Media | 4.8 | 12 Reviews | $100 - $149 / hr | 50 - 249 | New York, United States |
| DockYard | 5.0 | 8 Reviews | $150 - $199 / hr | 50 - 249 | Boston, United States |
| IndiaNIC | 4.9 | 25 Reviews | < $25 / hr | 250 - 999 | Ahmedabad, India |
goodfirms-scraper-service-directory.csvColumn
company_name
Provider name detected from listing headings or GoodFirms profile links.
Column
profile_tagline
Short description or positioning line visible on the provider card.
Column
company_logo
Logo image URL when the card exposes one.
Column
rating
Visible rating value, usually between 0.0 and 5.0.
Column
number_of_review
Review count text such as 12 Reviews.
Column
url_company
External company website URL found on the provider card.
Column
firm_pricing
Hourly pricing text such as $50 - $99 / hr or < $25 / hr.
Column
firm_employees
Employee range or headcount signal visible in the listing.
Column
firm_founded
Founded year when the card includes it.
Column
firm_location
City, country, or location text from the listing card.
Headers included - every configured GoodFirms category appends into one file
Comparison
Local template vs cloud GoodFirms scraper services
UScraper template
Local CSVHosted scraper service
CloudControl
Runs from your desktop workflow
You choose input URLs, waits, export path, and review process.
Runs on vendor infrastructure
Convenient for scale, but inputs and outputs pass through a third party.
Cost
Free template import
Good for repeatable research batches inside the desktop app.
Usage or service pricing
Often billed per run, per actor, or as a custom data project.
Fit
Best for controlled category research
Use when you need GoodFirms companies exported to CSV for review.
Best for managed extraction
Use when you need outsourced maintenance or high-volume operations.
Frequently asked questions
GoodFirms listings may be publicly visible, but automated collection can still be limited by GoodFirms terms, robots directives, copyright, privacy rules, and local law. Keep batches modest, do not bypass access controls, and get legal review before using exported company rows commercially.
Before you run
Practical limits and maintenance notes
Keep these constraints visible
Verification
GoodFirms can challenge automated sessions
Use a trusted browser profile and appropriate network reputation. If a persistent verification page appears, the template skips that URL rather than writing bad rows.
Layout drift
Provider cards and pagination can change
Empty exports or missing fields usually mean the listing markup changed, the category returned no rows, or a security check interrupted the page.
Compliance
Review reuse rules before enrichment
Directory rows can include company data, logos, ratings, review counts, and pricing claims. Treat the CSV as a research export and verify rights before republishing or reselling it.
Download the free template, install the local desktop app from UScraper download, and use this workflow whenever you need to export GoodFirms companies from service directories into a structured CSV.
Get Started
Download and use this template instantly
$50Free
What's Included
- Template JSON file ready to import
- Pre-configured scraping nodes
- Works with UScraper desktop app
Open-source templates
UScraper templates are open source. Improve this workflow or contribute a new one to help the community grow.
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