OutSend vs Lobstr: raw cloud scraping or integrated prospecting?

Ask yourself one question before comparing these two tools: where in your workflow do you want to stop? That is where everything hinges. Lobstr and OutSend are not racing to the same finish line — one excels at collecting raw data from many sources, the other at running a complete chain through to a contact-ready list. Confusing the two means paying for one tool while expecting it to do the job of another.

Rather than an abstract ranking, this article reasons through concrete situations. Three typical needs, and for each one, who wins and why. You will likely recognize your own use case, and you will know which tool to turn to — including if the answer is Lobstr. We stay factual, with sources, no superlatives.

Before the scenarios, let us honestly lay out Lobstr's real strengths and the precise point where it stops. That boundary is what makes the situations below readable.

What Lobstr does well

Lobstr.io is a no-code cloud scraper with broad coverage. Its main strength comes down to three points: a catalog of ready-to-use crawlers across many platforms, fully cloud-based execution with scheduling, and a transparent pay-per-result model. For raw multi-source data collection, it is a solid tool.

First, the coverage. Lobstr exposes 47 ready-to-use crawlers via a REST API with structured JSON output, covering Google Maps, LinkedIn, Twitter and Instagram, and many other platforms (Lobstr, official documentation 2026). You configure a Squid, give it URLs or keywords, and launch. This variety of sources is a genuine advantage when your needs go beyond Google Maps.

Next, cloud execution and scheduling. Everything runs online, with no local machine or open browser required: scheduled triggers (daily, weekly, specific days) and auto-export to Google Sheets, S3, or SFTP. For anyone looking to automate recurring collection and feed it into a data pipeline, this is convenient and reliable.

Finally, the credit model. Lobstr charges per unique result — one credit equals one unique result, and duplicates are not counted (Lobstr, pricing page 2026). For usage that varies month to month, this transparency avoids unpleasant surprises. Add to that a French operator — Lobstr is a SAS (French simplified joint-stock company) registered with the Créteil trade registry under number 841840499 (Lobstr, terms of use) — and you have a counterpart in the same time zone and legal framework.

Where Lobstr stops

Lobstr stops at the exact point where raw data needs to become usable. It is a scraping and collection automation tool, not an enrichment chain. Three factual limits to know before choosing: no built-in enrichment, caps on the free plan, and crawlers that require some learning to configure.

First limit: enrichment. Lobstr's documentation and product page describe a data collection tool through crawlers — extraction and export — with no mention of an email finder, deliverability verification, phone enrichment, or legal data (Lobstr, official site 2026). In practice, after extraction you assemble the next steps yourself — often with additional subscriptions. If you are new to how data collection works, our scraping definition and its limits explains where extraction ends and enrichment begins.

Second limit: the free plan. It is useful for testing, but it is capped: exports are limited to 30 rows per query, scheduling is unavailable, premium scrapers are reserved for paid plans, and data retention is 7 days (Lobstr, pricing page 2026). This is consistent with a free tier, but it means real usage quickly requires a paid subscription.

Third limit: the learning curve. Squids, Tasks, Runs, daily or monthly credit allocation, export settings — the logic is clear once you understand it, but it requires grasping the platform's model before you get a clean file. For a tech-savvy user this is an advantage; for someone who just wants a qualified list, it is a hurdle to clear first.

You are scraping multiple platforms and want raw data

You collect from LinkedIn, Twitter, Instagram, marketplaces, custom sites — well beyond Google Maps. Your need is to pull in many different sources, schedule those collections, and dump everything into a data warehouse to process on your own terms. You are comfortable with a crawler-based workflow and you are not looking for a ready-to-call file, but for reliable raw material.

Here, Lobstr wins without question, and that is exactly what it is built for. The 47 crawlers cover ground that OutSend does not touch: OutSend is centered on the Google Maps-to-qualified-list chain and does not claim to replace a universal cloud scraper. Twitter, Instagram, marketplaces, miscellaneous sites — that multi-platform perimeter is outside its scope. Lobstr's REST API, structured JSON output, and fine-grained scheduling precisely address this need for cloud orchestration. If this is your situation, the rest of this article will only confirm that choice.

You want a local-market list ready to prospect

Your target is a local or sector-based audience mapped on Google Maps: tradespeople in a city, practices in a department, businesses in a sector. You do not want a raw file to rework, but a contactable list — emails found and verified, dead sites removed, social profiles and legal data attached. And you have neither the desire nor the time to assemble four subscriptions to get there.

This is precisely OutSend's territory, and the difference shows in the data journey. After Maps extraction, OutSend runs a built-in email finder, a deliverability check to reduce bounces, a dead URL check, a social profile extractor, and additional phone numbers recovered from websites. All in a single tool, free in alpha by application.

On this same scenario, Lobstr stops at extraction: the documentation describes a collection and export tool, with no built-in email finder or deliverability verification (Lobstr, official site 2026). You would get a clean Maps export, but you would then need to reconnect the enrichment steps manually. To build a targeted list of companies in one hour, integrated sequencing is what saves you the intermediate steps. In this scenario, OutSend goes further because it does not stop at the raw material.

You want an integrated chain without assembling tools

Your situation is less about sources and more about mental load: you do not want to manage multiple platforms or maintain a pipeline between them. Ideally, you would start from a need and get an actionable result at the end, without juggling a scraper, an email finder, a verifier, and an enricher. Workflow coherence matters more than catalog breadth.

For this need for a single chain, OutSend is the better fit: where Lobstr extracts, OutSend extracts and then qualifies, within the same tool. This is an inverted philosophy, not a ranking — Lobstr bets on broad coverage and orchestration, OutSend on end-to-end integration within a tighter scope.

That said, let us be honest: "a single chain" does not mean "one tool for everyone." If your scope goes beyond local B2B prospecting to multiple sources, you will benefit from combining both rather than forcing a binary choice. Lobstr collects in the cloud what OutSend does not cover (Twitter, Instagram, marketplaces) and exports to your Sheet or S3; OutSend turns Maps extraction into an already-cleaned list. You then merge both flows in your CRM: Lobstr's raw material as a reservoir to requalify, the OutSend list directly actionable. The key point remains: do not ask one tool to do the other's job. That division of labor — not an exclusive choice — is what saves time in the long run.

Comparison table: OutSend vs Lobstr

The table below compares the two tools on objective criteria: functional scope, sources covered, post-extraction dependencies, compliance, and language. It does not rate value for money or ease of use, as those depend too much on your profile to be settled here.

To dig into the one area where both tools genuinely overlap — Google Maps extraction — our comparison OutSend vs Scrap.io and the guide scraping Google Maps for free with CSV export cover the collection side in detail.

FAQ — OutSend and Lobstr

Is Lobstr.io a French tool?

Yes. Lobstr is a SAS (French simplified joint-stock company) registered in France, with the Créteil trade registry under number 841840499, headquartered in the Paris region (Lobstr, terms of use). The interface is in English, however. It is an operator in the same time zone and the same European legal framework, which simplifies support and invoicing.

Does Lobstr automatically find and verify emails?

Lobstr's documentation and product page describe a data collection and export tool via crawlers, with no built-in email finder or deliverability verification (Lobstr, official site 2026). You retrieve raw data, then add enrichment with other tools according to your needs.

Is Lobstr's free plan enough to test with?

For a simple test, yes. The free plan caps exports at 30 rows per query, disables scheduling, reserves premium scrapers for paid plans, and retains data for 7 days (Lobstr, pricing page 2026). For real, recurring use, a paid subscription is required.

Can Lobstr and OutSend be used together?

Yes, and it makes sense. Lobstr covers sources that OutSend does not handle (Twitter, Instagram, marketplaces), while OutSend manages the Google Maps-to-qualified-list chain. Depending on your target data source, running both in parallel is a coherent approach rather than a binary choice.

How do you access OutSend?

OutSend is in alpha and access is by application, with no subscription required to test it. You request access via the dedicated page, and you work through the complete chain — Maps scraping, email finder, verification, legal data — on your own use case before making any decision.

To place this topic in the broader picture, browse all prospecting tool alternative comparisons.