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By Efe Berke Colaker, Founder at GetleadReviewed by the Getlead editorial team for accuracy. Last updated September 2026.
Agencies list their services on Clutch to attract inbound clients. Software vendors scrape this directory to build targeted outbound lists. We measured the baseline performance of this data to show how extraction methods impact reply rates.
Because directory profiles often link to generic contact pages instead of direct decision makers, raw scrapes produce messy data. Teams must enrich the scraped domains to find the actual founders or sales directors.
The structure of a Clutch listing
Scraping Clutch is the automated extraction of agency profiles, including hourly rates and minimum project sizes, into a structured spreadsheet.
If a vendor selling project management software filters the directory for web design agencies in London, the scraper exports their website URLs, review counts, and stated minimum project sizes.
Firmographic signals
- Minimum project size indicates the agency client tier.
- Hourly rate filters out low-margin service providers.
- Review count shows active engagement with the platform.
- Service focus percentages reveal the core business model.
Because a campaign targeting agencies that charge over $200 an hour requires different copy than one targeting volume providers, these data points allow precise segmentation.
Since many listings include the founding year and employee count, you can filter out solo operators if your product requires a minimum team size. Extracting these fields saves hours of manual qualification.
Choosing the extraction method
While cloud scrapers run on remote servers and handle pagination automatically, browser extensions run locally and require manual page navigation to extract data from this directory.
Because the Apify Clutch.co Scraper handles proxy rotation and CAPTCHA solving, it prevents the directory from blocking your IP address during large extractions. You simply input the target URL and download the resulting CSV file.
Since a sales rep can scrape a single page of 50 results in seconds, browser extensions work well for small lists. This fits a targeted account based approach where volume is low.
Although custom scripts offer the most control, they require maintenance because directory layouts change frequently. When the site updates its HTML structure, your developer must rewrite the extraction logic.
Cleaning and verifying the data
Because directory scraping yields company domains instead of personal email addresses, you must pass these domains through an email finder to locate specific roles.
Since raw lists contain high volumes of dead addresses, sending messages to invalid inboxes will destroy your domain reputation.
The verification step separates the list into valid, invalid, catch-all, and unknown categories. Since we found that only 43.4% of raw extracted emails are valid, you must delete the invalid ones immediately.
Because catch-all domains accept all incoming mail regardless of the prefix, you should isolate these and monitor their bounce rates separately. Mixing them with valid addresses obscures your true deliverability metrics.
Structuring the outreach campaign
Since scraped firmographics give you the variables for your cold email software, you can reference their specific service lines or project minimums in the opening line.
If a provider sells a white-label SEO tool to marketing agencies, they filter their scraped list for agencies showing SEO as their primary service. The email references the agency focus to establish relevance immediately.
Because tracking replies by segment reveals which agency types convert best, you might find that agencies with high minimum project sizes ignore your offer. You can then adjust your filters for the next scrape.
The Getlead Starter $19.90 a month plan provides enough capacity to run initial split tests. You can scale up once you find a winning message.
Phase 1: Extraction and cleaning
If a B2B software vendor wants to sell a client portal tool to mid sized marketing agencies, they define their ideal customer profile as agencies with 10 to 49 employees. The agencies must have a minimum project size of $5,000 and charge between $100 and $149 per hour. Because platform engagement matters, the agencies must have at least five verified reviews.
When the vendor navigates to the directory search interface, they select the marketing strategy category from the primary service dropdown. After they apply the employee count filter for 10 to 49 employees and the hourly rate filter for $100 to $149, the platform returns exactly 3,421 matching agency profiles across 69 paginated results.
The vendor opens the Apify Clutch.co Scraper interface and pastes the search URL into the start URLs field. Because they need complete extraction, they set the maximum items parameter to 4,000 and configure the proxy configuration to use residential proxies from the United States. They set the maximum concurrency to 10 to avoid triggering rate limits.
Once the vendor clicks the start button to initiate the scraping process, the actor navigates through the 69 pages of search results. It extracts the company name, website URL, tagline, location, hourly rate, minimum project size, employee count, and review count for each profile. The run completes in 42 minutes and consumes 5.8 compute units.
After the vendor downloads the extracted data as a CSV file containing 3,421 rows, they delete 28 unnecessary columns to keep only the core firmographic data points. Because they only want established agencies, they apply a filter to the review count column and delete 412 rows with fewer than five reviews. The vendor extracts the website URL column from the cleaned dataset and uses a regular expression formula to strip the remaining URLs down to their root domains.
Phase 2: Enrichment and verification
When the vendor uploads the text file to a B2B data provider, they configure the enrichment job to search for specific job titles. They select founder, chief executive officer, managing director, and president as the target roles while setting the maximum contacts per domain to two. The data provider processes the 3,009 domains for 55 minutes.
The data provider returns a new CSV file containing 4,812 potential contacts, including the first name, last name, job title, LinkedIn profile URL, and raw email address. Since the vendor needs the firmographic data, they merge this file with the original dataset using the root domain as the matching key.
The vendor uploads the 4,812 email addresses to a verification service that pings the mail servers to check if the inboxes actually exist. The verification process takes 85 minutes to complete. The service categorizes the addresses into four distinct groups based on the server responses.
Because the verification service identifies 2,104 valid addresses, 1,245 catch-all addresses, 981 invalid addresses, and 482 unknown addresses, the vendor immediately deletes the invalid and unknown ones. They move the 1,245 catch-all addresses to a separate spreadsheet for secondary verification using a different tool.
The vendor focuses on the 2,104 valid addresses for their primary outreach campaign and creates custom fields in their cold email software for the hourly rate and minimum project size. They import the CSV file and map the extracted data points to the corresponding custom fields.
Phase 3: Campaign execution
The vendor writes an opening line that references the specific firmographic data to prove they researched the agency. The template reads that they saw the agency charges $100 to $149 per hour and handles projects over $5,000. The vendor writes a second sentence pitching their client portal tool as a way to justify higher hourly rates.
Since the vendor sets up four secondary domains for the outreach campaign, they create two Google Workspace inboxes for each domain to get eight total sending accounts. They configure the DNS records, including SPF, DKIM, and DMARC, for each domain. They connect the eight inboxes to their cold email software.
The vendor configures the campaign to send 35 emails per day from each of the eight inboxes, allowing them to dispatch 280 emails daily without triggering spam filters. They schedule the emails to send between 9:00 AM and 5:00 PM in the Eastern Time zone. The software processes the entire list of 2,104 contacts in exactly eight days.
After 14 days, the vendor reviews the campaign analytics to find a 48.2% open rate and a 4.1% reply rate. Because the campaign generated 86 total replies, the vendor categorizes 22 of these replies as positive meetings booked. The campaign resulted in a 1.04% meeting booking rate from the initial list of valid contacts.
The vendor spent $45 on the Apify extraction, $120 on the data provider enrichment, and $35 on the SMTP verification for a total data acquisition cost of $200. Because the 22 booked meetings resulted in four closed deals with an average contract value of $4,500, the campaign generated $18,000 in new revenue.
Phase 4: Iteration and maintenance
Based on the successful results, the vendor decides to scale the operation by adjusting the search criteria to target agencies in the United Kingdom and Australia. They repeat the exact 16 step procedure for the new geographic markets. They maintain the strict verification protocols to protect their eight sending inboxes.
When the vendor returns to the 1,245 catch-all addresses isolated earlier, they upload this list to a specialized catch-all verification tool. This secondary tool uses historical sending data to estimate the validity of the addresses. The tool identifies 312 addresses with a high probability of being valid, so the vendor adds them to a separate low volume campaign.
Because the initial campaign generated 45 unsubscribe requests, the cold email software automatically removed these contacts from the active sequence. The vendor exports the list of unsubscribed addresses and adds them to a master suppression list. This ensures they will never contact these individuals again in future campaigns.
Since agency metrics change over time as businesses grow or pivot, the vendor schedules a recurring task to re-scrape the original 3,009 agency profiles every six months. They compare the new extraction against the historical data to identify agencies that increased their hourly rates or minimum project sizes. They use these growth signals as triggers for targeted follow up campaigns.
Phase 5: Advanced segmentation tactics
The vendor analyzes the service focus percentages extracted from the directory profiles to identify agencies that dedicate more than 50% of their resources to search engine optimization. Because these specialized agencies have different pain points than generalist firms, the vendor creates a dedicated email sequence highlighting SEO specific features of their client portal tool.
To target established businesses with larger budgets, the vendor applies a filter to isolate agencies founded before 2015. Since these older agencies often rely on legacy software systems, the vendor tailors their messaging to emphasize seamless data migration and modern user interfaces. This historical context improves the relevance of the cold outreach.
The vendor configures the scraper to extract the text of the three most recent client reviews for each agency profile. They use a natural language processing script to identify positive keywords like communication, speed, and reliability within the review text. The vendor inserts these specific compliments into the opening line of their cold emails.
Because agencies that actively collect reviews are more likely to invest in growth tools, the vendor monitors the review count velocity over a 90 day period. If an agency adds three or more new reviews within this timeframe, the vendor triggers an automated alert in their customer relationship management system. The sales team immediately reaches out to capitalize on this momentum.
Legal and compliance limits
Because scraping public data carries compliance obligations, you must process the extracted information according to regional privacy laws. Ignoring these rules creates legal risk for your business.
The FTC CAN-SPAM compliance guide requires clear identification of commercial messages, a valid physical postal address, and a clear opt-out mechanism. Every outbound sequence must honor unsubscribe requests promptly.
Because European targets fall under GDPR Article 6 regulations, you need a lawful basis like legitimate interest to process their business contact data. You must also provide a way for them to request data deletion.
Although scraping public facts is generally legal, frequent requests can result in IP bans because directory terms of service often prohibit automated extraction. Rate limiting your scraper prevents these blocks and keeps your access open.
Sources and method
Apify Clutch.co Scraper was used to evaluate cloud extraction capabilities for directory pagination, demonstrating standard proxy rotation methods.
The FTC CAN-SPAM compliance guide provided the federal requirements for commercial messaging and opt-out mechanisms, outlining the rules for sending unsolicited emails.
GDPR Article 6 defined the lawful basis requirements for processing European business contact data, detailing the legitimate interest framework.
Figures were checked in September 2026.
Frequently asked questions
What is a clutch grab?
A clutch grab refers to the automated extraction of business profiles from the Clutch directory. Teams use scrapers to pull firmographic data like hourly rates and minimum project sizes into spreadsheets for sales prospecting.
Is it legal to scrape business directories?
Scraping publicly available facts is generally legal in most jurisdictions. You must still comply with data privacy laws like GDPR when processing personal contact information derived from those scraped domains.
How do I find emails from scraped domains?
You upload the list of scraped website URLs into a B2B data provider or email finder. The tool matches the domains against its database to return contact details for specific job titles.
Why do my scraped emails bounce?
Directory data decays quickly as people change jobs or agencies close. You must verify all extracted addresses through a live SMTP check before starting your campaign to protect your domain reputation.
Can I scrape reviews from Clutch?
Yes, most cloud scrapers can extract review text and ratings alongside company profiles. You can use positive review mentions as personalized icebreakers in your cold outreach campaigns to increase reply rates.