This tutorial shows how to scrape GoodFirms company profile data into CSV with the GoodFirms Company Directory Scraper for UScraper. You will import the template, add company profile URLs, set the export path, validate the rows, and handle common issues such as blank fields or changed selectors.
Before you start
Prerequisites, scope, and GoodFirms policy checks
You need UScraper installed as a local desktop app, a short list of GoodFirms company profile URLs you are allowed to process, and a local folder where the CSV can be written. Start with the bundled six sample profiles, then replace them with URLs from the GoodFirms service categories directory, a category page such as mobile app development companies, or a country-filtered page such as app development companies in the United States.
This guide is for supervised research exports from pages you can inspect in a browser. It is not a guide to bypass logins, verification prompts, paywalls, account dashboards, or private data. Review the current GoodFirms Terms of Use before running automation, especially if the output will be used commercially or republished.
Technical access is not the same as permission. Keep batches modest, document your purpose, do not defeat access controls, and use approved data routes when you need redistribution rights.
Workflow anatomy
What the GoodFirms scraper template does
The workflow is intentionally direct: Navigate -> Wait for Page Load -> Sleep -> Wait for Element -> Inject JavaScript -> Structured Export -> Loop Continue. Navigate owns the profile URL list. The wait blocks give dynamic content time to hydrate. Inject JavaScript adds a fallback map for the sample profiles. Structured Export writes the CSV fields. Loop Continue advances the next URL.
The export uses JavaScript-backed columns because GoodFirms profile pages may expose data through visible text, metadata, links, images, and dynamically rendered blocks. That makes the template flexible, but it also means the selectors need maintenance when GoodFirms changes page markup.
| CSV column group | Example fields | Why it matters |
|---|---|---|
| Company identity | Company_name, Profile_tagline, Company_logo, URL_goodfirms | Lets you identify, dedupe, and audit each profile row. |
| Trust signals | Rating, Number_of_review | Helps filter firms before manual review. |
| Contact path | URL_company | Gives researchers the company website for follow-up verification. |
| Firm metadata | Firm_pricing, Firm_employees, Firm_founded, Firm_location | Supports segmentation by budget, size, age, and market presence. |
goodfirms-scraper-company-directory.csvColumn
Company_name
Company name from the rendered profile or sample fallback map.
Column
Profile_tagline
Short positioning line from the GoodFirms profile.
Column
Rating
Visible GoodFirms rating value when available.
Column
Number_of_review
Review count cleaned from profile text.
Column
URL_goodfirms
GoodFirms profile URL used for the row.
Column
URL_company
External company website link.
Column
Firm_pricing
Hourly pricing band such as $50 - $99/hr or < $25/hr.
Column
Firm_employees
Employee range or visible headcount signal.
Column
Firm_founded
Founded year when available.
Column
Firm_location
Country or location text from the profile.
Sample rows
2 of many
| Company_name | Profile_tagline | Rating | Number_of_review | URL_goodfirms | URL_company | Firm_pricing | Firm_employees | Firm_founded | Firm_location |
|---|---|---|---|---|---|---|---|---|---|
| Unified Infotech | Your End-To-End Web & Mobile Solution Partners | 5.0 | 15 | $25 - $49/hr | 50 - 249 | 2010 | United States, India | ||
| Caveni Digital Solutions | The Best Web Design Company in the USA | 5.0 | 45 | $200 - $300/hr | 10 - 49 | 2016 | United States, United Kingdom |
Runbook
How to scrape GoodFirms company directory profiles
Import the template
Open GoodFirms Company Directory Scraper, download the JSON template, and import it into UScraper.
Replace or extend the profile URLs
Add one GoodFirms company profile URL per Navigate input. Keep the list small for the first pass so the CSV is easy to audit.
Confirm the CSV destination
In Structured Export, check the file name, headers, append mode, and save folder. Use a project-specific folder before running client or campaign research.
Run one profile
Let the page load, handle any visible consent or verification prompt manually, and confirm that the first exported row matches the browser.
Scale after validation
Add the rest of your profile URLs, rerun the loop, then sort the CSV by URL_goodfirms to spot duplicates or failed rows.
Quality control
Validate the GoodFirms CSV before using it
Open the CSV after the first URL and compare it against the same profile in the browser. Check one row from the beginning, middle, and end of every batch. For outreach, enrichment, or research reports, treat the GoodFirms export as a starting dataset that still needs human review.
| Symptom | Likely cause | Fix |
|---|---|---|
Empty Company_name | The profile did not render or a verification screen interrupted the session | Handle the prompt, increase waits, and rerun one URL. |
Blank URL_company | GoodFirms did not expose the website link in that session | Open the profile manually and decide whether the field is optional. |
| Rating or review count missing | GoodFirms changed the review module text or markup | Inspect the live profile and update the JavaScript selector. |
| Repeated rows | Duplicate profile URLs or a loop resumed after export | Dedupe by URL_goodfirms and keep a clean input list. |
| Good data for samples but blanks for new URLs | The fallback map only covers bundled sample profiles | Refresh selectors against your target profiles before scaling. |
Alternatives
GoodFirms scraper tools: UScraper, Python, and hosted options
Search results for best GoodFirms scraper tools usually include no-code builders, hosted scraper actors, Python tutorials, open-source scripts, and managed data extraction services. The right option depends on whether you want local QA, developer control, cloud scheduling, or fully outsourced data delivery.
| Approach | Best fit | Trade-off |
|---|---|---|
| UScraper local desktop template | Analysts who need a visible browser workflow and CSV export they can inspect locally | You maintain selectors when GoodFirms changes profile markup. |
| GoodFirms scraping Python script | Developers who want full control over parsing, retries, proxies, and storage | Requires code maintenance and more operational setup. |
| Hosted actor or no-code cloud scraper | Scheduled runs, managed infrastructure, and larger recurring jobs | Data custody, pricing, and usage limits depend on the vendor. |
| Managed extraction service | One-off data delivery with less internal setup | Less hands-on control over field changes, QA logic, and reruns. |
UScraper is a practical GoodFirms scraper alternative when the job is a supervised CSV research run rather than a production data pipeline. If you need a broader directory workflow, browse the UScraper template library for adjacent company, review, search, and metadata scraper templates, or scan the UScraper blog for more no-code export tutorials.
FAQ
GoodFirms scraper tutorial FAQ
GoodFirms profile pages can be publicly visible, but automated collection may still be restricted by GoodFirms terms, robots directives, copyright, privacy rules, contracts, and local law. Review the current terms, avoid access-control bypassing, keep runs modest, and get legal review before using exported rows commercially.
Next step
Download the GoodFirms company directory scraper
When you are ready to run the tutorial, open GoodFirms Company Directory Scraper, download the JSON, and keep this article open for QA. For related workflows, browse all UScraper templates or return to the UScraper blog for more CSV export guides.