Scrapebox Email and Name Generator Setup Guide

Scrapebox email and name generator output fills the first two poster fields. Names and emails generate in two clicks, transfer straight into the poster, and the remaining three fields, websites, comments, and blogs, load from three .txt files. The blog list normally comes from a harvested URL export, which transfers to the commenter list with one button.

How Does the Scrapebox Email and Name Generator Feed the Comment Poster?

The Scrapebox email and name generator fills the Names and Emails fields inside Scrapebox, the Windows desktop tool for harvesting URLs and posting comments. The generator produces text lists and hands them to the poster through a transfer button; it never submits anything itself. On 2026-09-13 the same Tools menu path described in the training still applies, although Scrapebox's own site documents the poster steps in detail rather than the generator internals.

Scrapebox is a desktop application, not a web service. The official Scrapebox documentation describes it as a tool for commenting, harvesting, and posting across thousands of blog and image-comment platforms. That scope explains why the generator produces thousands of identities at once: the poster needs a different name and email for every target URL it visits.

Ownership matters here. Scrapebox is developed by Sweetfunny, the vendor behind the software, and any throughput claims in this article come from the vendor's product design or from the training speaker's first-hand use, not from an independent benchmark. The tool generates the data; success rates on third-party platforms depend on the platforms' filters.

Three separate concerns get mixed together when people talk about this workflow. There is the generator that makes names and emails, the poster that submits comment rows, and the lists of targets. This section covers the generator only. The target lists get their own sections below because they come from different sources and obey different rules.

Running the Name and Email Generator Step by Step

The generator runs in four actions: open the Tools menu, choose Name and Email Generator, generate, then transfer. The video training walks through exactly that sequence, with male and female names available as filters and a number field that controls how many names enter the library draw. The email side adds an option to include numbers and a domain field for the address suffix.

Order matters because the transfer buttons write into specific poster tabs. A transferred list cannot be mixed with a manually pasted list without editing the tab contents. The steps below preserve the sequence the training demonstrates.

1. Open Scrapebox and go to the Tools menu, then select Name and Email Generator.
2. Set the gender filter to male, female, or both. The training notes this choice has no effect on link output.
3. Click Generate to draw names from the built-in library. The training uses a thousand names as the working count.
4. Click Transfer to Poster Names so the list lands in the Names tab.
5. Switch to the email generator, decide whether to include numbers, and set the domain. The training uses Yahoo because the speaker says it performed better in his testing.
6. Generate emails at the same count as the names, then click Transfer to Poster Emails.

The count alignment is the part worth guarding. If the name tab holds 1,000 entries and the email tab holds 800, every row past the eight-hundredth name has no address attached. Generate the same number on both sides unless you deliberately want unmatched test rows.

The Yahoo preference in the training is a specific user's observation. It is not a documented feature of the tool, and it does not guarantee better acceptance on any third-party platform. Treat the domain setting as a field you can change rather than a setting with a proven ranking effect.

What the Websites, Comments, and Blogs Files Contain

Three .txt files supply the poster fields the generator does not touch. The training names them according to the poster tabs: a websites file, a comments file, and a blogs file listing the target URLs. Each loads through an Open dialog near its corresponding tab, so a file with the wrong content silently fills the wrong field.

The websites file holds the URLs you want credited when a form offers a site field. Some comment forms display the website box before the comment box and some after, so the training recommends filling both the website field and the comment field with a URL to cover either layout. That is why the same domain can appear twice in a prepared row.

The comments file holds the text submitted with each entry. The training's example is a short phrase naming the target keyword plus the destination page, with the URL appended. Longer and spun comment variants are possible, and the speaker acknowledges a higher success rate is plausible, but the training deliberately trades variation for volume.

The blogs file is different in kind from the other two. It does not hold text you wrote; it holds the harvested URLs you intend to visit. In the video the harvested list transfers directly to the commenter list with the Transfer URLs to Blog List for Commenter button.

File naming carries real risk when you keep several campaigns on one machine. Name each file after the poster tab it fills, keep the three files in one folder, and load them in the same order every time. The poster's Open dialogs remember nothing between sessions.

Where Harvested URLs Become the Commenter Blog List

Harvested URLs become the blog list through one transfer button inside Scrapebox. The training shows the harvested set moving into the commenter list, at which point the poster has targets to visit. This step connects the earlier harvesting work to the posting work, and skipping it leaves the poster with identities but nowhere to send them.

The blog list in the training comes from three possible sources. You can use the list bundled in the resource section, buy a list from a vendor, or scrape your own URLs through Scrapebox's harvesting modules. The training notes that Scrapebox list vendors are few, which is a practical constraint on the second option rather than a claim about list quality.

URL lists age quickly. Comment forms close, pages get deleted, and platform filters change. A list harvested months earlier will include dead targets, and the poster's settings determine how many connection failures and blocked responses it tolerates before the run becomes unproductive.

One structural detail from the training is easy to miss: the harvested list and the three .txt files serve different roles. The harvested list says where to go. The websites and comments files say what to submit. The generator says who is submitting. All four inputs must line up before a run starts.

Scrapebox Generator Settings and Effects Compared

The generator's settings divide into those that change output and those that change only presentation. Gender selection and the number field change which names you get and how many. The email number toggle changes address format. The domain field changes the address suffix. None of them change how the poster submits data.

The table below lists the settings the training touches, what each one controls, and how much weight the training gives it.

Setting	Controls	Training's position
Gender filter	Which names enter the draw	No stated effect on link output
Name count	List length	Set to match email count
Include numbers in emails	Address format	Optional; speaker sees no downside
Email domain	Address suffix	Yahoo preferred in the speaker's testing
Website list file	Site field content	Fill both site and comment fields
Comment list file	Comment field content	Short keyword plus link by choice
Blog list	Target URLs	Harvested set transferred in

Two of these settings deserve more caution than the training gives them. The email domain choice rests on one user's impressions, and email addresses on public comment forms are visible to anyone who reads the page. Using addresses you control matters more than which provider hosts them.

The comment content decision has a similar trade-off. A single phrase repeated across thousands of pages is fast to prepare and easy for platform filters to recognize. Varied comment text costs preparation time. The training states the trade-off openly instead of pretending the shortcut has no cost.

What the Training Does Not Claim About Results

The training makes no performance claims about link counts, rankings, or traffic. Its scope is data preparation: generate names, generate emails, prepare three files, transfer the harvested list, and start the poster. Anyone reading it as a ranking method is reading past what it says.

Comment posting sits in a contested area of search practice. Google's spam policies address link spam directly, describing automatically generated links and comment spam among the tactics that can lead to ranking suppression or manual action. That policy text is a primary source and it applies to the targets this workflow visits, not to the generator itself.

Volume changes risk rather than removing it. A workflow built to submit thousands of entries per run multiplies exposure to platform filters and to search engine spam systems at the same time. The training's own framing accepts a lower per-attempt success rate in exchange for scale, which is a choice about risk appetite as much as about tactics.

The generator also produces personal-looking identities that pair with real-looking email addresses. Whoever operates the poster is responsible for where those identities land. The tool does not distinguish between a form that welcomes submissions and one that prohibits them.

Reading the training accurately means separating three things it does say from one thing it does not. It does say the generator feeds two poster fields, that three files fill the rest, and that the harvested list becomes the commenter list. It does not say the resulting links will rank.

FAQ

• What does the Scrapebox email and name generator actually produce? It produces two plain text lists, one of names and one of email addresses, which transfer into the Names and Emails tabs of the comment poster. The lists supply the identity fields for each submission row. The generator does not submit anything on its own.

• Do the name and email counts have to match? They should match for clean runs. If the name list holds 1,000 entries and the email list holds fewer, rows past the shorter list have no address attached. Generate the same count on both sides unless you intend to discard unmatched rows.

• Why does the training prefer Yahoo for email domains? The speaker says Yahoo addresses performed better in his own use, without presenting a measured comparison. Treat it as a single user's preference rather than a documented setting. Any domain you control works as a field value.

• What are the three .txt files used for? They fill the websites, comments, and blogs fields of the poster. The websites file holds site URLs, the comments file holds submission text, and the blogs file holds target URLs. Each loads through its own Open dialog.

• Where does the blog list come from if I do not have a vendor list? You can scrape targets yourself in Scrapebox or use the list provided in the training's resource section. The harvested URLs transfer to the commenter list with the Transfer URLs to Blog List for Commenter button.

• Does the gender filter affect how many links get placed? The training states it does not. Gender selection changes which names enter the draw, not the volume of submissions or their outcomes. Pick either option or both.

• Should comments be varied or repeated? The training repeats a short keyword plus link across the whole list and accepts a lower success rate to save preparation time. Varied or spun comments take longer to build and the speaker allows that they may succeed more often.

• Does this workflow guarantee rankings? No. Comment posting targets third-party pages, and Google's spam policies name link spam and comment spam among tactics that can trigger suppression or manual action. The generator is a data preparation tool with no ranking effect of its own.

• What should I check before running the poster? Confirm all five poster fields hold data, that counts align between names and emails, and that the file loaded in each Open dialog matches its tab. A mismatched file fills the wrong field and wastes a run.

Source video