Ask yourself one question before comparing these two tools: where in your workflow do you want to stop? That is where the two tools differ. Lobstr collects raw data from many sources. OutSend runs a complete chain through to a contact-ready list. If you confuse them, you may pay for one tool and expect it to do the other's job.
Rather than a ranking, this article looks at concrete situations: three common needs, and for each one, the best-suited tool 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. The facts quoted are sourced.
Before the scenarios, let's look at what Lobstr does well and where it stops.
What Lobstr does well
Lobstr.io is a no-code cloud scraper with broad coverage. It has three strengths: 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 range of sources is a real 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. It is practical for automating recurring collection and sending it to a data pipeline.
Finally, the credit model. Lobstr charges per unique result: one credit equals one unique result, and duplicates are not counted (Lobstr, pricing page 2026). If your usage varies month to month, you know what you pay. Finally, Lobstr is a French company: a SAS (French simplified joint-stock company) registered with the Créteil trade registry under number 841840499 (Lobstr, terms of use). For European users, that means a contact in a nearby time zone and the same legal framework.
Where Lobstr stops
Lobstr stops when raw data needs to become usable. It is a scraping and collection automation tool, it does not do enrichment. Three points to know before choosing: no built-in enrichment, caps on the free plan, and crawlers that require some learning to configure.
First point: 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 handle 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 point: 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). That is normal for a free tier, but real usage quickly requires a paid subscription.
Third point: 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 technical user, this is an advantage. For someone who just wants a qualified list, it means learning the tool first.
You are scraping multiple platforms and want raw data
You collect from LinkedIn, Twitter, Instagram, marketplaces, custom sites, well beyond Google Maps. You want to pull in many different sources, schedule those collections, and send everything to a data warehouse to process yourself. You are comfortable with crawlers and you want reliable raw data rather than a ready-to-call file.
Here, Lobstr is the right choice: that is exactly what it is built for. The 47 crawlers cover sources that OutSend does not handle: 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: these platforms are outside its scope. Lobstr's REST API, structured JSON output, and fine-grained scheduling meet this need for cloud automation. If this is your situation, Lobstr is the tool you need.
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 want a list ready to contact, not a raw file to rework: emails found and verified, dead sites removed, social profiles and legal data attached. And you do not want to pay for four subscriptions to get there.
This is OutSend's use case, and the difference shows in how the data is processed. 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 during the alpha.
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 handle enrichment with other tools. To build a targeted list of companies in one hour, having every step in the same tool saves time. In this scenario, outsend does more because it does not stop at extraction.
You want an integrated chain without assembling tools
For you, the number of sources is not the issue. You do not want to manage several platforms or connect them to each other. You want to start from a need and get a usable result, without switching between a scraper, an email finder, a verifier, and an enrichment tool. One tool that does everything matters more to you than a large catalog of sources.
For this need for a single chain, OutSend is the better fit: where Lobstr extracts, OutSend extracts and then qualifies, within the same tool. The two approaches are opposite. Lobstr focuses on many sources and automation, OutSend on a complete chain within a narrower scope.
That said, an integrated chain does not suit every use. If your scope goes beyond local B2B prospecting to multiple sources, you are better off using both rather than choosing one. 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 data still needs qualifying, the OutSend list is ready to use. The important thing is not to ask one tool to do the other's job. Over time, this split saves you time.
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.
| Criterion | Lobstr.io | OutSend |
|---|---|---|
| Tool type | No-code multi-site cloud scraper | Integrated prospecting chain (Maps to qualified list) |
| Sources covered | 47 crawlers: Google Maps, LinkedIn, Twitter, Instagram, and more | Google Maps as the input source, then web enrichment |
| Post-extraction enrichment | Not built in (collection/export only) | Email finder, deliverability check, dead URL check, social profiles, legal data |
| Dependencies for a contactable list | Third-party tools to connect yourself | Everything in a single tool |
| Execution | Cloud, scheduling, REST API | Online pipelines, free alpha |
| Entry plan | Free plan (30 rows/query, 7-day retention), then subscription | Free alpha |
| Operator / framework | French SAS (Créteil trade registry, no. 841840499) | European B2B, free alpha |
| Interface language | English | French and English |
The two tools overlap in only one area, Google Maps extraction. For more on it, 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, you can use both in parallel.
How do you access OutSend?
OutSend is in alpha and sign-up is open, with no subscription required to test it. You create an account via the dedicated page, and you test the complete chain (Maps scraping, email finder, verification, legal data) on your own use case before deciding.
To place this topic in the broader picture, browse all prospecting tool alternative comparisons.