We extract B2B service provider profiles, verified reviews, pricing models, and service matrices from UpCity. Delivered as clean JSON, CSV, or Parquet to S3, BigQuery, or Snowflake on your schedule.
Structured, schema-consistent data across all major object types — delivered clean, typed, and ready to query.
Complete list of extractable fields for Agency Profiles objects from upcity.com. All fields typed and schema-versioned.
"agency_id": "UC-84921", "name": "Acme Digital Marketing", "rating": 4.9, "review_count": 42, "min_project_size": "$5,000+", "avg_hourly_rate": "$100 - $149", "employee_count": "10 - 49", "verified_status": true
| # | agency_id | name | profile_url | location | rating | review_count |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Services Matrix objects from upcity.com. All fields typed and schema-versioned.
"agency_id": "UC-84921", "service_category": "Marketing", "service_name": "SEO", "percentage_focus": 40, "industry_focus": "['Healthcare', 'Finance']", "client_focus": "['Midmarket', 'Small Business']"
| # | agency_id | service_category | service_name | percentage_focus | industry_focus | client_focus |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Verified Reviews objects from upcity.com. All fields typed and schema-versioned.
"review_id": "REV-99214", "agency_id": "UC-84921", "reviewer_title": "CMO", "star_rating": 5.0, "review_date": "2026-03-14", "verified_status": true, "project_type": "Website Redesign"
| # | review_id | agency_id | reviewer_name | reviewer_title | reviewer_company | star_rating |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Portfolios objects from upcity.com. All fields typed and schema-versioned.
"portfolio_id": "PF-1102", "agency_id": "UC-84921", "project_title": "FinTech App Launch", "industry": "Financial Services", "budget": "$50,000+", "launch_date": "2025-11-01", "image_urls": "['https://example.com/img1.jpg']"
| # | portfolio_id | agency_id | project_title | client_name | industry | project_summary |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Search Rankings objects from upcity.com. All fields typed and schema-versioned.
"keyword": "SEO Agencies", "location": "Chicago, IL", "rank_position": 3, "agency_id": "UC-84921", "sponsored_status": false, "upcity_score": 88
| # | keyword | location | rank_position | agency_name | agency_id | sponsored_status |
|---|---|---|---|---|---|---|
| 1 | ||||||
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Our UpCity scraper handles the directory hierarchy: category pagination, provider profiles, verified review expansion, and service matrix extraction — with bot circumvention built in.
Extract agency name, website, contact details, employee count, minimum project size, and average hourly rate from every provider profile.
Capture star ratings, review text, reviewer job titles, and project types across all paginated review tabs.
Extract the exact percentage breakdown of services offered, industry focus, and client size focus for precise vendor matching.
Identify UpCity Excellence Award winners and track verified partner status across specific technology stacks.
Extract headquarters and secondary branch locations, including full address strings and geographic coordinates if available.
Monitor organic and sponsored positions for agencies across specific service categories and city-level directories.
Extract project summaries, client names, budgets, and industry tags from agency portfolio sections.
Run recurring pipelines that only emit records when an agency updates their pricing, adds a new review, or changes service focus.
Configure pipelines to run weekly or monthly to keep your B2B lead database or vendor management system fresh.
Brief in. Clean data out.
Provide target categories, locations, or specific agency URLs. We design the extraction schema together.
We configure Scrapy crawlers, proxy rotation, and session management to traverse the UpCity directory hierarchy.
Schema validation, null-rate checks, and normalisation of pricing tiers before full launch.
JSON / CSV / Parquet pushed to your S3 bucket, BigQuery dataset, or Snowflake stage on agreed cadence.
Directory sites employ rate limiting and structural variations. Here is how we build resilient pipelines for UpCity data.
Directory sites block datacenter IPs scanning thousands of profiles. We distribute requests across a pool of US-based residential proxies, pacing requests to mimic human browsing behaviour and avoid IP bans.
Agency profiles on UpCity vary based on their subscription tier. Premium profiles have different DOM structures than free listings. Our selector strategy accounts for these variations to ensure consistent schema output.
Agencies with hundreds of reviews require deep pagination. Our pipeline maintains session state to traverse all review pages, capturing historical sentiment without dropping records.
UpCity displays service focus as visual bar charts or nested lists. We extract the underlying percentage values and normalise them into structured arrays for easy querying in your database.
We clean and standardise string-based ranges (e.g., '$100 - $149/hr', '10 - 49 employees') into consistent formats, making the data immediately usable for filtering and analysis.
Sales teams targeting marketing agencies, IT firms, and accountants extract provider lists to enrich outbound campaigns.
Agencies track competitor pricing models, service matrices, and review velocity to position themselves effectively in the market.
Software vendors identify top-rated implementation partners and agencies based on specific framework expertise and location.
Analysts aggregate hourly rates and minimum project sizes across cities to map regional pricing trends in B2B services.
Agencies ingest their own reviews and competitor reviews into BI tools for sentiment analysis and service improvement.
Private equity firms screen potential acquisition targets by filtering for highly-rated agencies in specific niches with defined employee counts.
"UpCity maps the B2B service ecosystem, but extracting structured intelligence on thousands of agencies requires dedicated pipeline infrastructure."
Directory scraping seems simple until you hit structural inconsistencies, rate limits, and nested review pagination. DataFlirt handles the proxy rotation, schema normalisation, and scheduling so your engineering team can focus on data modelling instead of crawler maintenance.
Everything supported by our upcity.com scraper — rendered SPA elements, auth walls, rate-limit evasion and beyond.
Open-source tooling on proven cloud infra — no vendor lock-in, full observability.
Scrapy handles crawl orchestration, deduplication, and retry logic. Playwright handles JavaScript rendering, cookie sessions, and interaction flows. Combined via scrapy-playwright middleware.
We maintain pools of residential ISP proxies across US regions. Rotation happens per-request with sticky sessions where required. IP score monitoring prevents blacklisted pool contamination.
Pipelines run on AWS Lambda (burst) and ECS (sustained). Airflow handles scheduling, dependency management, and SLA alerting. All state stored in managed Postgres.
Data delivered to where your team already works — no new tooling required.
About upcity.com scraping, legality, and pipeline operations.
Ask us directly →Scraping publicly available directory information is generally permissible under applicable law, reinforced by the hiQ v. LinkedIn ruling. DataFlirt extracts only public, non-authenticated agency profiles and reviews. We do not bypass authentication walls or extract private user data.
We route requests through a large pool of residential proxies, ensuring our request volume per IP remains well below typical bot-detection thresholds. We also introduce randomised delays between requests.
Yes. We can scope the pipeline to target specific geographic URLs (e.g., SEO agencies in Austin, TX) or specific service categories, reducing unnecessary data extraction.
We extract the service focus percentages and output them as structured JSON arrays or nested columns in CSV, ensuring the numbers sum correctly and map to the specific service categories.
Yes. Our initial run can paginate through the entire review history of an agency. Subsequent runs can be configured to only extract new reviews added since the last execution.
Pipelines can be scheduled for one-off delivery, weekly updates, or monthly refreshes depending on how frequently you need the agency data updated in your systems.
Yes. We offer a sample extraction of up to 100 agency profiles during the scoping phase so you can validate the schema and data quality before committing to a production pipeline.
20-minute scoping call. Pilot dataset within the week. Production within two. Whether you need a one-off agency directory dump or continuous tracking of B2B service providers — we scope, build, and operate the pipeline. Tell us what you need.
