Embeddings are not CRM fields. Extract typed data from Instagram, Maps, LinkedIn, and more with lightning-fast scrapers.
Jina optimizes retrieval stacks. Scrapy IO optimizes durable, filterable datasets from known platforms.
| Features |  Scrapy IO | |
|---|---|---|
| Performance | ||
| Lightning-fast execution | Yes Edge functions run close to the request — near-zero cold-start latency | Partial Crawl or LLM pipelines add processing time before structured fields are ready |
| Output type | ||
| Structured records from target platforms | Yes Named fields from Instagram, Maps, LinkedIn, etc. | Partial Crawl, chunk, and embed — generic text blocks |
| Pricing & billing | ||
| Pay per result | Yes You only pay for rows that return data | No Token/crawl-oriented usage—not CRM field rows |
| Upfront cost estimate before each run | Yes See cost and runtime before you commit | No Embedding pipelines obscure cost per business entity |
| No charge for failed or empty runs | Yes Blocked pages and empty results cost nothing | No Low-value chunks still consume usage |
| Production scraper marketplace | Yes Maintained scrapers with stable schemas | No DIY crawl-and-chunk pipelines |
| Pay per result | Yes Per-row billing with upfront estimates | No Token-based pricing on crawl volume |
| Try for free | Explore Jina.ai | |
Crawl-chunk-embed stacks optimize retrieval—not CRM joins. Scrapy IO returns named platform fields with pay-per-result billing when entities beat vectors.
“We embed docs elsewhere. For account fields, Scrapy IO’s estimates beat any chunking pipeline.”
Structured records beat generic text chunks for analytics joins.
Maintained scrapers keep schemas steadier than DIY crawl-chunk loops.
Cost tracks rows—not tokenized crawl volume.
When you know the site, scrapers outperform broad embedding crawls.
Recurring exports for business systems, not only RAG refreshes.
Trigger scrapers without standing up an embedding stack.
Extract Instagram profile followers in bulk without requiring login, session ID, or cookies. This actor provides complete API support, and seamless export options, making large-scale follower collection efficient and reliable.
LinkedIn Profile with Email & Company Data and get complete lead information, including verified emails, using their username, URL, or URN. This advanced scraper integrates with tools like Apollo, Hunter, Lusha etc. to ensure accurate and up-to-date email data.
Discover Google Maps businesses by keyword, nearby, radius, bounding box, area, or bulk queries — lead-gen search at $0.30 per 1,000 results.
Search Reddit for posts, subreddits, or users by keyword — with sort, time range, and optional comment pulls. Structured results for monitoring and research. $0.50 per 1,000 rows.
Use Scrapy Store when your pipeline needs LinkedIn people, Maps places, or Instagram profiles as first-class data.
“Jina helped our chatbot. Scrapy IO helped our pricing team. Structured scrapers paid for themselves in a month.”
Jina-style stacks meter crawl/embed usage. Scrapy IO meters successful platform rows—ideal when you need CRM fields, not vectors.
Scrapy IO plans
Free
Get $5 to spend on scrapers. One month only.
$0
Starter
Full API access, priority support
$19/mo
Growth
Most popular10% off every tool bill
$129/mo
Scale
Custom API access, dedicated support, 20% off
$439/mo
Jina.ai plans
API usage
Token / crawl oriented
Usage
Scale
Higher throughput
Custom
Every paid plan ships with full REST API access, so results flow straight into your CRM, spreadsheet, or internal tool — with the same lightning-fast execution you get in the UI.
“We embed docs with Jina and enrich accounts with Scrapy IO. Trying to force one tool into both jobs failed.”
Run Scrapy IO scrapers with pay-per-result billing when embeddings are the wrong output.
Note: This evaluation is based on publicly available information as of August 2026. Product names, logos, and brands are used for identification only and remain the property of their respective owners. Their use does not imply affiliation or endorsement. Conduct your own evaluation before making a decision.
