Collecte de données · 1.5M visites mensuelles

Firecrawl est une API open-source, axée sur les développeurs, qui transforme n'importe quel site web en données propres et prêtes pour les LLM. Elle gère toutes les complexités du web scraping, y compris le rendu JavaScript, la rotation de proxy et les limites de taux, vous permettant d'alimenter des applications d'IA, des agents et des systèmes RAG avec un contenu web fiable. Elle offre des fonctionnalités de scraping, de crawling et de recherche via une API simple.

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supermemory

LLM · 174.2K visites mensuelles

supermemory est une API de mémoire et une infrastructure pour l'ère de l'IA, conçue pour les développeurs afin de construire des LLM avec une mémoire persistante à long terme. Elle surmonte la limitation de la fenêtre de contexte finie, permettant la création d'agents IA intelligents et conscients du contexte, de chatbots et d'applications qui se souviennent des interactions passées et des informations sur diverses plateformes.

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Firecrawl vs supermemory : prix, fonctions et trafic

Comparez Firecrawl et supermemory selon leur positionnement, prix, fonctions, trafic et avis.

Mis à jour 5 août 2026

Aperçu du produit

Firecrawl Aperçu du produit

Preview

supermemory Aperçu du produit

Preview

Detailed feature comparison

Feature	Firecrawl	supermemory
Catégorie principale	Collecte de données	LLM
Ajouté	2025-08-10	2025-08-16
Tarification	Freemium	Freemium
Site officiel	www.firecrawl.dev	supermemory.ai
Type de produit	Site web	Site web
Performance data
Note utilisateur	Non vérifié	Non vérifié
Commentaires	0	0
Visites mensuelles	1.5M	174.2K
Croissance mensuelle	2.1%	-28.8%
Favoris	109	122
Details	Voir les détails	Voir les détails

Firecrawl vs supermemory monthly traffic

Compare Firecrawl and supermemory by monthly reach, traffic trend, visit depth, top regions, and acquisition sources.

How to interpret the traffic data

In the Firecrawl vs supermemory monthly traffic comparison, Firecrawl currently shows 1.5M visits and supermemory shows 174.2K; Firecrawl has about 8.8 times the visible traffic of supermemory, an absolute difference of about 1.4M visits. This reflects visible reach, not feature quality or paid users.

Both tools provide verified traffic details, so monthly trends, visit depth, regions, and acquisition sources can be compared on the same basis.

Firecrawl monthly traffic:

Latest traffic

Visites mensuelles

1.5M

Durée moyenne

2:39

Pages par visite

5.85

Taux de rebond

41.46%

Data updated 2026-06-15

Monthly traffic trend

Principales régions

Top 5 countries/regions

Country/region	Percentage	Traffic
🇺🇸United States	52.44%	807.2K
🇮🇳India	20.01%	308K
🇨🇳China	12.63%	194.4K
🇩🇪Germany	8.2%	126.2K
🇧🇷Brazil	6.72%	103.4K

Sources de trafic

Source type	Percentage	Traffic
Direct	86.97%	1.3M
Référence	10.29%	158.4K
E-mail	2.74%	42.2K

Mots-clés

apifyfire crawlfirecrawlfirecrawl apifirecrawl mcp

supermemory monthly traffic:

Latest traffic

Visites mensuelles

174.2K

Durée moyenne

1:11

Pages par visite

3.55

Taux de rebond

42.55%

Data updated 2026-06-15

Monthly traffic trend

Principales régions

Top 5 countries/regions

Country/region	Percentage	Traffic
🇺🇸United States	56.33%	98.1K
🇮🇳India	22.09%	38.5K
🇳🇬Nigeria	8.47%	14.8K
🇨🇦Canada	6.67%	11.6K
🇹🇭Thailand	6.44%	11.2K

Sources de trafic

Source type	Percentage	Traffic
Direct	84.44%	147.1K
Référence	14.32%	24.9K
E-mail	1.24%	2.2K

Mots-clés

super memorysupermemorysuper memory aisupermemory aisupermemory mcp

Traffic-based selection guidance: If public market visibility is an important first-pass criterion, investigate Firecrawl first. The final choice should still follow taxonomy, use case, and a real trial because higher traffic does not prove broader capabilities or better workflow fit.

Usage comparison

Compare the core capabilities of Firecrawl and supermemory

Firecrawl Core features

API et Intégration

Collecte de données

Web scraping

supermemory Core features

API et Intégration

LLM

Gestion des connaissances

Use cases

Firecrawl Use cases

Agent IA

API

Outils pour développeurs

Grand modèle linguistique

Génération Augmentée par Récupération

Crawler

Collecte de données

Extraction de données

Open source

Web scraping

supermemory Use cases

Agent IA

API

Outils pour développeurs

Grand modèle linguistique

Génération Augmentée par Récupération

Chatbot

Gestion du contexte

gestion des connaissances

mémoire à long terme

API de Mémoire

Deuxième cerveau

Firecrawl vs supermemory：In-depth comparison and selection guidance

First decide whether the products solve the same kind of need

This in-depth Firecrawl vs supermemory comparison uses only the product records, taxonomy, audience, traffic, and community signals available on this page. Firecrawl is primarily listed under “Collecte de données”, while supermemory is primarily listed under “LLM”, so the first decision is whether your actual task matches their recorded scope.

The structured fields currently show these decision-relevant differences: Primary category (Firecrawl: Collecte de données; supermemory: LLM); Monthly visits (Firecrawl: 1.5M; supermemory: 174.2K); Monthly growth (Firecrawl: 2.1%; supermemory: -28.8%); Favorites (Firecrawl: 109; supermemory: 122); Website (Firecrawl: www.firecrawl.dev; supermemory: supermemory.ai). These facts are more useful for selection than brand visibility alone.

What market visibility and monthly traffic mean

Both tools provide verified traffic details, so monthly trends, visit depth, regions, and acquisition sources can be compared on the same basis.

If public market visibility is an important first-pass criterion, investigate Firecrawl first. The final choice should still follow taxonomy, use case, and a real trial because higher traffic does not prove broader capabilities or better workflow fit.

Product positioning, use cases, and roles

Firecrawl and supermemory currently overlap in shared categories: API et Intégration; shared tags: Agent IA, API, Outils pour développeurs, Grand modèle linguistique et Génération Augmentée par Récupération. This can place both on the same shortlist, but it does not prove equal implementation, depth, or cost.

Firecrawl's unique categories/tags are Collecte de données, Web scraping, Crawler, Extraction de données et Open source; supermemory's are LLM, Gestion des connaissances, Chatbot, Gestion du contexte, gestion des connaissances, mémoire à long terme, API de Mémoire et Deuxième cerveau. These unique fields are the strongest differentiators: validate the product whose recorded scope matches the task instead of following traffic alone.

What ratings, comments, and favorites can tell you

Firecrawl has no verified rating, 0 comments, 109 favorites, and 113 likes；supermemory has no verified rating, 0 comments, 122 favorites, and 100 likes。

Neither product has enough rating or comment samples for a credible reputation ranking.

Selection guidance by actual need

When to evaluate Firecrawl first

Put Firecrawl on the priority trial list when the task aligns with “Collecte de données” and especially Collecte de données, Web scraping, Crawler, Extraction de données et Open source. This follows recorded positioning and does not imply unlisted capabilities are absent.

Firecrawl also currently records: pricing is freemium, product type is website, 1.5M verified monthly visits, no verified user rating. Verify any hard requirement around price, platform, or reach before trial, and do not let sparse review data substitute for testing.

When to evaluate supermemory first

Put supermemory on the priority trial list when the task aligns with “LLM” and especially LLM, Gestion des connaissances, Chatbot, Gestion du contexte, gestion des connaissances et mémoire à long terme. This follows recorded positioning and does not imply unlisted capabilities are absent.

supermemory also currently records: pricing is freemium, product type is website, 174.2K verified monthly visits, no verified user rating. Verify any hard requirement around price, platform, or reach before trial, and do not let sparse review data substitute for testing.

How to validate the recommendation before deciding

The available data describes positioning, public visibility, and community signals, but it cannot prove output quality, speed, integration effort, privacy, or long-term cost in your workflow. Before deciding, run the same representative tasks in Firecrawl and supermemory, then record completion time, accuracy, manual corrections, and the real paid threshold. A like-for-like trial turns this comparison into a defensible adoption decision.

FAQ comparative

How should I choose between Firecrawl and supermemory?

Compare positioning, pricing, taxonomy, and traffic maturity, then verify the latest details on each official website.

Where does this comparison data come from?

The factual baseline is derived from product, taxonomy, traffic, and community data. Reviewed editorial conclusions show their source and verification date.

What do unknown fields mean?

Unknown means there is not enough reliable evidence; the page does not fill gaps with assumptions.

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