ScrapeAtlas is a public-data API that turns pages like Amazon product search and product listings into structured JSON: prices, ratings, availability and pagination, with no proxies, headless browsers or parsers to maintain. Every response says where its data came from and how complete it is, and every request carries a requestId and a credits header, so it's easy to plug into scripts, data pipelines and AI agents.
Example: a price tracker that appends Amazon price snapshots to a CSV takes about 60 lines of Python:
Who it's for: developers building price monitors, market research dashboards, RAG/agent tools and analytics who want reliable public web data without running a scraping stack. Free API key available.
Docs: https://scrapeatlas.com/docs/
Example: a price tracker that appends Amazon price snapshots to a CSV takes about 60 lines of Python:
pip install scrapeatlas-price-trackerscrapeatlas-price-tracker --query "wireless earbuds"Who it's for: developers building price monitors, market research dashboards, RAG/agent tools and analytics who want reliable public web data without running a scraping stack. Free API key available.
Docs: https://scrapeatlas.com/docs/
ScrapeAtlas provides a public-data API that converts web pages like Amazon product listings into clean JSON without needing proxies or browsers.
- for
- Developers building price monitors, market-research dashboards, RAG agents and analytics pipelines.
- pricing
- freemium · free trial
- license
- open source
Key features
6 features of ScrapeAtlas
- Unified scraper API — Fetch pages such as Amazon search results and get structured JSON with prices, ratings and pagination.
- No proxies or headless browsers — Works without managing a scraping stack, reducing infrastructure complexity.
- Source & completeness metadata — Each response includes data source, completeness score and requestId for traceability.
- Credits header — Responses include a credits header so usage can be tracked and billed per request.
- Free API key — Get started with 100 free credits and a free API key for testing.
- Simple Python client — Install a ready-made package to run a price-tracker in about 60 lines of code.
Use cases
- Track Amazon product price changes and store snapshots in CSV
- Build a market-research dashboard aggregating product availability
- Power RAG or AI agents with up-to-date public product data
- Create analytics pipelines that ingest social-media profile data
ScrapeAtlas vs alternatives
ScrapeAtlas | Postman | Meilisearch | Vonage | Replicate | |
|---|---|---|---|---|---|
| Best for | Structured public web data via a single API | Designing and testing APIs | Full-text search over your own data | Messaging and voice integration | Running and fine-tuning AI models |
| Pricing | Freemium | Subscription | Free | Subscription | Subscription |
| DevHunt upvotes | 1 | 0 | 0 | 0 | 0 |
| Launched | Oct 2030 | — | — | — | — |
- ScrapeAtlas vs Postman: Postman is an API design/testing tool, not a web-scraping data provider.
- ScrapeAtlas vs Meilisearch: Meilisearch offers a search engine API, not a public-web data extraction service.
- ScrapeAtlas vs Vonage: Vonage provides communication APIs (SMS, voice) rather than web-scraping.
- ScrapeAtlas vs Replicate: Replicate runs AI models via API, unrelated to extracting public web data.
ScrapeAtlas FAQ
How do I start using ScrapeAtlas?+
Sign up for a free API key on the website and you receive 100 free credits to make requests.
Do I need to run my own scraping infrastructure?+
No, ScrapeAtlas handles fetching and parsing; you just call the API.
What information does each response include?+
Responses contain the structured JSON data, a source attribution, completeness indicator, requestId and a credits header.
Is there a limit on requests?+
The free tier provides 100 credits; additional usage is billed according to the credits model.
Summarized by DevHunt from scrapeatlas.com · Oct 12, 2026. Details may change; check the official site.

ScrapeAtlas
Postman
Meilisearch
Vonage
Replicate







