SYSTEM all green source goodfirms.co queue 12,491 pages p99 latency 185ms dataflirt.com · scraper/goodfirms-co
RUN · 82 active pipelines · goodfirms.co live

B2B agency data,
normalised for lead gen.

We extract software development agencies, marketing firms, and B2B service providers from GoodFirms. Delivered as clean JSON, CSV, or Parquet to S3, BigQuery, or Snowflake on your cadence.

Profiles extracted
142K /month
Reviews parsed
845K /run
Hourly rate updates
12K /day
Active pipelines
82
Uptime
99.98%
Data Dictionary

Every field we extract from goodfirms.co

Structured, schema-consistent data across all major object types — delivered clean, typed, and ready to query.

Complete list of extractable fields for Company Profiles objects from goodfirms.co. All fields typed and schema-versioned.

company_idcompany_namewebsite_urlfounded_yearemployee_counthourly_ratemin_project_sizelocationsdescriptiontotal_reviewsavg_rating
company_profiles
● 200 OK
"company_id": "GF-98234",
"company_name": "TechNova Solutions",
"founded_year": 2014,
"employee_count": "50-249",
"hourly_rate": "$25 - $49/hr",
"min_project_size": "$10,000+",
"total_reviews": 42,
"avg_rating": 4.9
# company_idcompany_namewebsite_urlfounded_yearemployee_counthourly_rate
1
2
3

Complete list of extractable fields for Service Focus objects from goodfirms.co. All fields typed and schema-versioned.

company_idprimary_serviceservice_percentageindustry_focusclient_focusframework_focuscms_focuslanguage_focus
service_focus
● 200 OK
"company_id": "GF-98234",
"primary_service": "Custom Software Development",
"service_percentage": 40,
"industry_focus": "['FinTech', 'Healthcare']",
"client_focus": "['Midmarket', 'Enterprise']",
"framework_focus": "['React Native', 'NodeJS']",
"language_focus": "['Python', 'TypeScript']"
# company_idprimary_serviceservice_percentageindustry_focusclient_focusframework_focus
1
2
3

Complete list of extractable fields for Verified Reviews objects from goodfirms.co. All fields typed and schema-versioned.

review_idcompany_idreviewer_namereviewer_titlereviewer_companyproject_nameproject_costrating_overallrating_qualityrating_schedulereview_textdate
verified_reviews
● 200 OK
"review_id": "REV-55421",
"company_id": "GF-98234",
"reviewer_title": "CTO",
"project_cost": "$50,000 - $99,999",
"rating_overall": 5.0,
"rating_quality": 5.0,
"rating_schedule": 4.8,
"date": "2025-11-14"
# review_idcompany_idreviewer_namereviewer_titlereviewer_companyproject_name
1
2
3

Complete list of extractable fields for Portfolio & Clients objects from goodfirms.co. All fields typed and schema-versioned.

company_idclient_nameproject_titleproject_urlindustrytech_usedproject_descriptioncompletion_date
portfolio_& clients
● 200 OK
"company_id": "GF-98234",
"client_name": "FinServe Inc",
"project_title": "Mobile Banking App Redesign",
"industry": "Financial Services",
"tech_used": "['Flutter', 'Firebase']",
"project_description": "Complete UI overhaul and backend migration.",
"completion_date": "2024-08-01"
# company_idclient_nameproject_titleproject_urlindustrytech_used
1
2
3

Complete list of extractable fields for Search Rankings objects from goodfirms.co. All fields typed and schema-versioned.

keywordcategorylocationrank_positioncompany_idcompany_namesponsored_badgescraped_at
search_rankings
● 200 OK
"keyword": "top web development companies",
"category": "Web Development",
"location": "United States",
"rank_position": 14,
"company_name": "TechNova Solutions",
"sponsored_badge": false,
"scraped_at": "2026-02-14T08:12:00Z"
# keywordcategorylocationrank_positioncompany_idcompany_name
1
2
3

Capabilities

Extract B2B agency intelligence at scale

Our GoodFirms scraper handles dynamic directory pagination, complex service focus charts, and review text expansion. We deliver clean, structured agency data ready for your CRM or analytics warehouse.

Full Company Profiles

Extract name, description, website, founding year, and employee count from thousands of agency profiles.

Pricing & Project Metrics

Capture hourly rates and minimum project size indicators to qualify leads instantly.

Service Focus Breakdown

Extract percentage allocations for specific services like web development versus mobile development.

Verified Client Reviews

Pull full review text, project cost brackets, and granular ratings for schedule and quality.

Tech Stack & Frameworks

Identify exact programming languages and CMS platforms listed by agencies.

Office Location Mapping

Extract HQ and satellite office addresses for regional targeting and territory mapping.

Key Client Portfolios

Scrape listed past clients and project descriptions to understand agency capabilities.

Category Leaderboards

Track rank positions across GoodFirms category pages to monitor competitor visibility.

Scheduled Updates

Run continuous pipelines to detect new agencies or recent reviews on an automated cadence.

// engagement pipeline

From target category to warehouse record

Brief in. Clean data out.

Define Scope
d 0

Provide target categories, locations, or specific company URLs. We configure the extraction parameters.

Pipeline Build
d 2–4

We configure Scrapy crawlers, proxy rotation, and CAPTCHA handling for goodfirms.co.

Validation & QA
d 4–6

Schema validation, null-rate checks, and sample data exports before full launch.

Delivery
ongoing

JSON, CSV, or Parquet pushed to your S3 bucket or Snowflake stage on agreed cadence.

Under the hood

How we handle GoodFirms extraction challenges

Extracting structured data from B2B directories requires parsing complex visual elements and bypassing rate limits. We manage the infrastructure so you only deal with clean data.

pipeline-monitor · goodfirms.co · live ● active
// fingerprinting
Identity rotation
TLS fingerprintrandomised
User-agentrotated
IP poolresidential
Challenges blocked0
// pagination
Page coverage
48,291 pages queued running
// observability
Pipeline health
99.9%
uptime
142ms
p99 lat
0.3%
null rate
2
alerts
Anti-bot layer
Residential proxy rotation

Directory sites deploy rate limits and Cloudflare challenges. We use residential ISP proxies with realistic browser fingerprints to maintain high-throughput extraction without blocks.

Pagination handling
Deep category traversal

GoodFirms categories contain thousands of results. Our crawlers handle infinite scroll and complex pagination to ensure zero dropped records across deep category trees.

Review expansion
JavaScript execution for full text

Long client reviews are often truncated. We execute JavaScript to trigger 'Read More' buttons, capturing the complete review text and granular rating breakdowns.

Data normalisation
Structuring visual charts

Service focus and tech stack data is often presented as visual charts. We parse the underlying DOM to extract exact percentage allocations and normalise string-based rates into queryable numeric ranges.

Monitoring & alerting
24/7 pipeline health

Every run emits structured logs to our observability stack. We alert on schema drift or coverage drops, ensuring your downstream lead generation workflows never break.

Applications

Who uses GoodFirms data

Teams across industries use goodfirms.co data to build competitive products and smarter operations.

01
B2B Lead Generation

Outbound sales teams target agencies based on tech stack, location, and employee count.

02
Competitor Benchmarking

Agencies track competitor pricing, service focus allocations, and client reviews.

03
M&A Target Identification

Private equity firms screen potential acquisition targets using growth indicators and client satisfaction metrics.

04
Market Research

Analysts quantify the adoption of specific frameworks and CMS platforms across IT service providers.

05
Partnership Outreach

SaaS companies identify implementation partners by filtering agencies with specific tech expertise.

06
Review Aggregation

Reputation management platforms syndicate GoodFirms ratings into unified dashboards.

Why DataFlirt

"GoodFirms holds the most granular service allocation and pricing data for B2B IT agencies globally. You just need the infrastructure to extract it."

Extracting B2B directories at scale requires bypassing sophisticated rate limits and standardising highly unstructured text fields. DataFlirt handles the proxy rotation, pagination, and data cleaning so your sales and research teams get structured, ready-to-query records.

Technical Spec

GoodFirms scraper technical specifications

Everything supported by our goodfirms.co scraper — rendered SPA elements, auth walls, rate-limit evasion and beyond.

JavaScript rendering
Playwright sessions for dynamic review expansion and chart parsing
Supported
Cloudflare bypass
Residential proxies and TLS fingerprinting to avoid blocks
Supported
Service focus extraction
Capturing percentage-based service breakdowns from profile charts
Supported
Review pagination
Extracting all historical reviews per company profile
Supported
Rate normalisation
Parsing string ranges into numeric min/max fields
Supported
Category rank tracking
Monitoring position changes on top agency lists
Supported
Change detection
Hash-based diffs for new reviews and profile updates
Supported
Webhook delivery
HTTP POST per record for real-time CRM updates
Supported
Private contact details
Direct email or phone numbers of reviewers hidden behind authentication
Partial
Lead submission data
Internal messaging platform data between clients and agencies
Partial
Infrastructure

Infrastructure powering the GoodFirms pipeline

Open-source tooling on proven cloud infra — no vendor lock-in, full observability.

ScrapyPlaywrightPython 3.12RedisPostgreSQLApache AirflowAWS LambdaS3CloudWatch2CaptchaCapSolverResidential ProxiesDockerKubernetesGrafanaPrometheusAWS Athena
Scrapy + Playwright Stack

Scrapy handles crawl orchestration and deduplication. Playwright handles JavaScript rendering for dynamic charts and review expansion.

Residential Proxy Infrastructure

We maintain pools of residential ISP proxies to bypass directory rate limits. IP score monitoring prevents blacklisted pool contamination.

Cloud-Native Orchestration

Pipelines run on AWS Lambda and ECS. Airflow handles scheduling, dependency management, and SLA alerting.

Output & Delivery

Your data, your destination

Data delivered to where your team already works — no new tooling required.

JSON
Newline-delimited or nested arrays
CSV
Flat file with typed columns for easy CRM import
XLS
Excel format for manual sales team review
Parquet
Columnar format for BigQuery and Snowflake
AWS S3
Direct bucket delivery on schedule
Webhook
HTTP POST per record for real-time workflows
API
REST endpoints to query extracted profiles
PostgreSQL
Direct database upsert with conflict resolution
S3
Direct bucket delivery — compatible with any data lake
// faq

Common questions.

About goodfirms.co scraping, legality, and pipeline operations.

Ask us directly →
Is scraping GoodFirms legal?

Scraping publicly available information from GoodFirms is generally permissible under applicable law, reinforced by the hiQ v. LinkedIn ruling. DataFlirt targets only public, non-authenticated company profiles and reviews. We do not extract personal data behind authentication walls.

How do you handle GoodFirms rate limits?

We use residential ISP proxies, full Playwright browser sessions with realistic fingerprints, and request timing modelled on human behaviour to bypass blocks and CAPTCHAs.

Can you extract the exact service focus percentages?

Yes. We parse the underlying DOM elements of the visual charts on agency profiles to extract the exact percentage allocations for services, industries, and frameworks.

How fresh is the data?

We can configure pipelines to run daily, weekly, or monthly depending on your requirements and the size of the target categories.

Can you scrape the top agency category lists?

Yes. We capture rank position, sponsored badges, and applied filter parameters across all GoodFirms category leaderboards.

Do you support extracting project cost ranges from reviews?

Yes. We extract and normalise the project size, hourly rate, and granular rating fields from every verified client review.

Can I request a sample dataset?

Yes. We provide a sample run of up to 500 company profiles so you can validate the schema and data quality before committing.

$ dataflirt scope --new-project --source=goodfirms.co ready

Tell us what
to extract.
We do the rest.

20-minute scoping call. Pilot dataset within the week. Production within two. Whether you need a one-off export of top marketing agencies or continuous tracking of IT service providers, we build and operate the pipeline. Tell us what you need.

hello@dataflirt.com · Bengaluru · IST · typical reply < 4h
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