We extract business directories, executive contacts, firmographics, and industry classifications from Salesgenie. Delivered as clean JSON, CSV, or Parquet to S3, BigQuery, or Snowflake on your cadence.
Structured, schema-consistent data across all major object types — delivered clean, typed, and ready to query.
Complete list of extractable fields for Business Firmographics objects from salesgenie.com. All fields typed and schema-versioned.
"company_name": "Apex Manufacturing Solutions", "city": "Chicago", "state": "IL", "year_established": 1998, "employee_count": "50-99", "sales_volume": "$10M-$20M", "credit_rating_score": "A+", "location_type": "Headquarters"
| # | company_name | address_line_1 | city | state | zip_code | phone_number |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Industry Classification objects from salesgenie.com. All fields typed and schema-versioned.
"company_name": "Apex Manufacturing Solutions", "primary_sic_code": "3541", "primary_sic_desc": "Machine Tools, Metal Cutting Types", "primary_naics_code": "333511", "primary_naics_desc": "Industrial Mold Manufacturing", "industry_group": "Manufacturing", "line_of_business": "Industrial Machinery"
| # | company_name | primary_sic_code | primary_sic_desc | secondary_sic_code | primary_naics_code | primary_naics_desc |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Executive Contacts objects from salesgenie.com. All fields typed and schema-versioned.
"company_name": "Apex Manufacturing Solutions", "executive_first_name": "Sarah", "executive_last_name": "Jenkins", "executive_title": "Chief Operating Officer", "management_level": "C-Level", "executive_gender": "Female", "email_format": "first.last@domain.com"
| # | company_name | executive_first_name | executive_last_name | executive_title | management_level | executive_gender |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Location & Operations objects from salesgenie.com. All fields typed and schema-versioned.
"company_name": "Apex Manufacturing Solutions", "latitude": 41.8781, "longitude": -87.6298, "square_footage": "10,000-24,999", "public_company": false, "franchise_flag": false, "hours_of_operation": "Mon-Fri 8AM-5PM"
| # | company_name | latitude | longitude | square_footage | rent_expenses | public_company |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Competitor & Market objects from salesgenie.com. All fields typed and schema-versioned.
"company_name": "Apex Manufacturing Solutions", "market_share_estimate": "2.4%", "local_competitors": 14, "regional_sales_rank": 3, "county_code": "031", "cbsa_code": "16980", "wealth_score": 85
| # | company_name | market_share_estimate | local_competitors | nearest_branch_distance | regional_sales_rank | county_code |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Salesgenie throttles manual exports and limits search pagination. We build automated extraction pipelines that traverse search grids programmatically, capturing complete directory datasets while normalising the output.
Extract company name, address, phone numbers, website URLs, and year established for every business in your target criteria.
Capture decision makers, titles, management levels, and contact formats associated with each business listing.
Standardise your lead data with primary and secondary industry codes and descriptions exactly as categorised by Data Axle.
Pull estimated employee counts, sales volume brackets, and square footage metrics to score and route your B2B leads.
Extract business credit rating scores and public company status to inform financial risk models.
Capture latitude, longitude, county codes, and CBSA codes for territory mapping and spatial analysis.
Identify headquarters versus branch locations and map franchise relationships across national directory listings.
Run continuous pipelines to detect new business registrations, executive departures, or address changes over time.
Bypass standard pagination limits by programmatically dividing search regions into micro-grids for complete data capture.
Brief in. Clean data out.
Provide SIC codes, geographies, or company size brackets. We design the extraction schema together.
We configure Scrapy and Playwright crawlers, coordinate proxy rotation, and map the Salesgenie DOM structure.
Schema validation, null-rate checks, and sample data review before full pipeline launch.
JSON, CSV, or Parquet pushed to your S3 bucket, BigQuery dataset, or Snowflake stage on agreed cadence.
Extracting from commercial directories requires bypassing strict rate limits and pagination caps. Here is how we maintain extraction stability.
Directory sites monitor request velocity and IP reputation. Our crawlers use residential ISP proxies with realistic browser fingerprints and randomised request timing to blend into normal user traffic patterns.
Salesgenie caps search results to a fixed number of pages. We bypass this by programmatically dividing large queries into granular geographic or alphabetical micro-grids, ensuring every record is captured without hitting the truncation limit.
Modern directory interfaces load results asynchronously. We run full Playwright browser sessions to execute JavaScript, handle lazy loading, and extract data from dynamic DOM elements that standard HTTP clients miss.
Directory layouts change frequently. Our selector strategy uses multiple fallback chains per field, including CSS selectors, XPath, and regex pattern matching, ensuring pipeline continuity during UI updates.
For ongoing enrichment, we maintain a hash index of last-seen values per business record. Subsequent runs only push diffs, reducing downstream processing load and storage costs.
Sales teams feed highly targeted lists of businesses, filtered by SIC code and employee size, directly into their CRM.
Strategy teams aggregate firmographic data across regions to calculate total addressable market and identify growth corridors.
Revenue operations use location coordinates and sales volume estimates to balance sales territories and assign quotas.
Enterprises map competitor branch locations and franchise networks to identify underserved markets and expansion opportunities.
Data teams use standardised NAICS codes and address details to clean, deduplicate, and enrich existing internal customer records.
Financial services use credit rating indicators and years in business to pre-qualify commercial lending prospects.
"Salesgenie holds one of the most comprehensive B2B directories available, but its value is locked behind manual export limits and paginated UI constraints."
Manual list building does not scale for enterprise data teams. Reliable directory scraping requires residential proxies, programmatic search grid traversal to bypass pagination caps, and continuous schema maintenance. DataFlirt manages this infrastructure so your operations team receives clean, normalised firmographics ready for immediate CRM ingestion.
Everything supported by our salesgenie.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, search grid logic, and deduplication. Playwright manages JavaScript execution and dynamic DOM interaction. This combination ensures high throughput without missing asynchronously loaded records.
We maintain pools of residential ISP proxies specifically tuned for directory sites. Request routing includes sticky sessions where required and automatic IP score monitoring to prevent blockages.
Pipelines run on AWS Lambda and ECS. Airflow manages scheduling, dependency tracking, and SLA alerting. PostgreSQL handles state management and change detection hashes.
Data delivered to where your team already works — no new tooling required.
About salesgenie.com scraping, legality, and pipeline operations.
Ask us directly →Scraping publicly accessible directory information is generally permissible under applicable law. DataFlirt extracts factual business data, firmographics, and professional contact details. We do not extract protected consumer PII or bypass security controls. Clients should review their specific use case and terms of service with legal counsel.
Directory platforms typically limit results to a few thousand records per query. We programmatically divide your target criteria into micro-queries based on zip codes, revenue bands, or alphabetical splits. This ensures the result set for any single query stays under the pagination cap, allowing us to extract the entire dataset.
We extract the contact information exactly as it is presented in the directory interface. This typically includes executive names, titles, direct phone numbers, and email formats. If emails are masked or require specific enrichment credits, we capture the available metadata so you can append emails via third-party providers.
We extract the data live from the directory platform at the time of the pipeline run. The underlying freshness depends on Data Axle's update cycle, but our extraction ensures you have the most current version available on the platform today.
If you require data that is strictly gated behind an authenticated enterprise account, you must provide dedicated credentials for the crawler. For publicly accessible directory tiers, no credentials are required.
Our minimum engagement typically starts at 50,000 records delivered weekly or monthly. We price based on data volume, extraction complexity, and delivery frequency. Contact us with your target criteria for a precise quote.
Yes. We can map the extracted fields to your specific CRM schema and deliver flat CSV files or push data directly via Webhook, ensuring immediate compatibility with your existing import workflows.
20-minute scoping call. Pilot dataset within the week. Production within two. Whether you need a one-off extraction of a specific SIC code or a continuous firmographic enrichment feed across millions of records, we build and operate the pipeline. Tell us what you need.
