Indiquer un code postal ou une ville

Flèche vers le champ lieu

Location cafetière à 61210 Neuvy-au-houlme


Location cafetière : 1 cafetière cafetières à louer entre particuliers à 61210 Neuvy-au-houlme Si vous avez besoin d'une cafetière occasionnellement, la location d'une cafetière à un particulier est idéale, proche de chez vous et à un prix intéressant. Vous trouverez des cafetières à louer dans toutes les marques : Senseo, Nespresso, Tassimo, Bosch, Lavazza, Dolce Gusto ...
 ... voir la suite
Location cafetiere
Location cafetiere
Percolateur a cafe 4 l
Profil du voisin
Virginie G

5 km · Neuvy-au-Houlme 61210

13€/j

Location cafetiere
Location cafetiere
Location percolateur
Profil du voisin
Steve W

24 km · Pont-d'Ouilly 14690

10€/j

Demander à louer une cafetiere ou proposer une cafetiere en location entre particuliers.
Poster une annonce



Publier une annonce « Location Cafetière entre particuliers »

Trouver

Trouver
Demandes des voisins

Demandes

 créer une annonce
Messagerie

Messages

 Mon profil

Profil

Assistance support Kiwiiz

Comment pouvons-nous vous aider ?

Script : /wall.php

  1. 0.0002

    SELECT cate_id FROM category WHERE fami_id='5' AND cate_title_slug='electromenager'

  2. 0.0001

    SELECT cate_title_slug, cate_title,cate_title_aff FROM category WHERE cate_id=207

  3. 0.0001

    SELECT filtre_dptnom FROM filtredpt WHERE filtre_dpt='61'

  4. 0.0002

    SELECT ville_nom FROM villes WHERE ville_cp='61210' AND ville_nom like '%neuvy%au%houlme%' ORDER BY ville_population_2012 DESC LIMIT 0,1

  5. 0.0016

    SELECT ssrubr_id, ssrubr_keywords, ssrubr_title, ssrubr_slug, ssrubr_mail, ssrubr_photo FROM ssrubr WHERE (ssrubr_keywords like '%cafetiere%' OR ssrubr_title like '%cafetiere%' OR ssrubr_slug like '%cafetiere%') AND cate_id='207' ORDER BY ssrubr_id LIMIT 0,1

  6. 0.0002

    SELECT ville_cp, ville_latitude_deg,ville_longitude_deg FROM villes v WHERE ville_cp='61210'

  7. 0.0018

    SELECT ville_cp, ROUND((((acos(sin((48.7333*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((48.7333*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((-0.233333- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>48.553435678816 AND ville_latitude_deg<48.913164321184 AND ville_longitude_deg>-0.50603491236833 AND ville_longitude_deg<0.039368912368335 HAVING distance <= 20 ORDER BY distance ASC

  8. 0.0001

    SELECT keywords_id FROM ssrubr_keywords WHERE keywords_title='cafetière'

  9. 0.0002

    SELECT count(wish_id) as nbwish FROM wish WHERE fami_id='5' AND cate_id='207'AND MATCH (wish_title,wish_desc) AGAINST ('+cafetière*' IN BOOLEAN MODE) AND wish_visu IN (1,6,10) AND wish_cp like '61210%'

  10. 0.0001

    SELECT * FROM texte WHERE cate_id=207

  11. 0.0003

    SELECT ssrubr_texte_haut FROM ssrubr WHERE fami_id='5' AND (ssrubr_keywords='cafetière' OR ssrubr_slug='cafetière' OR (ssrubr_title like '%cafetière%')) AND cate_id='207' ORDER BY ssrubr_id LIMIT 0,1

  12. 0.0001

    SELECT fami_id as id, fami_title as title, fami_tutotitle, fami_tutodesc, fami_buttontitle, fami_url as slug FROM `family`

  13. 0.0001

    SELECT cate_id as id, cate_title as title, cate_title_slug as slug, fami_id FROM `category` WHERE cate_visu=1 AND fami_id='5' AND cate_cate_id IS NULL ORDER BY cate_order ASC

  14. 0.0003

    SELECT ssrubr_id AS id, ssrubr_title as title, ssrubr_slug as slug, ssrubr_photo, cate_id, fami_id FROM ssrubr WHERE ssrubr_visu=1 AND cate_id IN (207) ORDER BY ssrubr_order ASC

  15. 0.0001

    SELECT ssrubr_texte_haut, ssrubr_texte_bas FROM ssrubr WHERE ssrubr_slug='cafetiere' AND cate_id='207'

  16. 0.0001

    SELECT ville_cp, ville_latitude_deg, ville_longitude_deg FROM villes v WHERE ville_cp='61210'

  17. 0.0016

    SELECT ville_cp, ROUND((((acos(sin((48.7333*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((48.7333*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((-0.233333- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>48.553435678816 AND ville_latitude_deg<48.913164321184 AND ville_longitude_deg>-0.50603491236833 AND ville_longitude_deg<0.039368912368335 HAVING distance <= 20 ORDER BY distance ASC

  18. 0.0046

    SELECT ville_cp, ROUND((((acos(sin((48.7333*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((48.7333*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((-0.233333- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>48.283639197041 AND ville_latitude_deg<49.182960802959 AND ville_longitude_deg>-0.91509365979652 AND ville_longitude_deg<0.44842765979652 HAVING distance <= 50 ORDER BY distance ASC

  19. 0.0341

    SELECT count(wish_id) as nbwish FROM wish WHERE wish_id IS NOT NULL AND fami_id='5' AND cate_id='207' AND MATCH (wish_desc) AGAINST ('(+cafetière*)' IN BOOLEAN MODE) AND wish_visu IN (1,6,10) AND wish_cp IN (61210,61210,61210,61150,61150,61210,61210,61150,61210,61210,61220,61210,61150,61210,61210,61150,61150,61210,61220,61150,61210,61210,61150,61150,61210,61210,61600,61210,61150,61210,61150,61220,61150,61210,61150,61200,61210,61220,61150,61220,61150,61220,61600,61160,61210,61150,61210,61150,61100,61200,61210,61200,14700,61600,14700,61600,61200,61200,61100,61320,61570,61200,61320,61160,61600,61100,61220,61210,61600,61100,61160,61100,14700,61320,14700,14690,61320,14700,61160,61200,14700,14690,61220,61100,61100,61430,14690,61320,61100,61200,61570,61600,14690,14700,61100,61160,61100,14700,61600,61570,14690,61600,61320,61100,61600,61200,61220,61570,61200,14620,14700,61160,61430,14700,61570,61320,61600,14700,61200,14700,61570,61320,61440,14700,61200,61160)

  20. 0.0351

    SELECT wish.*, ui.util_photo, ui.util_prenom, ui.util_nom, ui.stripe_account_id, ville_cp,ville_nom,ville_latitude_deg,ville_longitude_deg, ROUND((((acos(sin((48.7333*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((48.7333*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((-0.233333- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM wish LEFT JOIN util_info ui ON wish.util_id=ui.util_id LEFT JOIN villes v ON wish.wish_cp=v.ville_cp WHERE wish_id IS NOT NULL AND fami_id='5' AND cate_id='207' AND MATCH (wish_desc) AGAINST ('(+cafetière*)' IN BOOLEAN MODE) AND wish_visu IN (1,6,10) AND wish_cp IN (61210,61210,61210,61150,61150,61210,61210,61150,61210,61210,61220,61210,61150,61210,61210,61150,61150,61210,61220,61150,61210,61210,61150,61150,61210,61210,61600,61210,61150,61210,61150,61220,61150,61210,61150,61200,61210,61220,61150,61220,61150,61220,61600,61160,61210,61150,61210,61150,61100,61200,61210,61200,14700,61600,14700,61600,61200,61200,61100,61320,61570,61200,61320,61160,61600,61100,61220,61210,61600,61100,61160,61100,14700,61320,14700,14690,61320,14700,61160,61200,14700,14690,61220,61100,61100,61430,14690,61320,61100,61200,61570,61600,14690,14700,61100,61160,61100,14700,61600,61570,14690,61600,61320,61100,61600,61200,61220,61570,61200,14620,14700,61160,61430,14700,61570,61320,61600,14700,61200,14700,61570,61320,61440,14700,61200,61160) AND type_id=1 GROUP BY wish_id

  21. 0.0001

    SELECT ville_cp, ville_latitude_deg, ville_longitude_deg FROM villes v WHERE ville_cp='61210'

  22. 0.0013

    SELECT ville_cp, ROUND((((acos(sin((48.7333*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((48.7333*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((-0.233333- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>48.553435678816 AND ville_latitude_deg<48.913164321184 AND ville_longitude_deg>-0.50603491236833 AND ville_longitude_deg<0.039368912368335 HAVING distance <= 20 ORDER BY distance ASC

  23. 0.0046

    SELECT ville_cp, ROUND((((acos(sin((48.7333*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((48.7333*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((-0.233333- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>48.283639197041 AND ville_latitude_deg<49.182960802959 AND ville_longitude_deg>-0.91509365979652 AND ville_longitude_deg<0.44842765979652 HAVING distance <= 50 ORDER BY distance ASC

  24. 0.0002

    SELECT M.match_step FROM `match` AS M LEFT JOIN wish AS W ON W.wish_id = M.wish_id WHERE ((W.util_id = 255102 AND W.type_id = 1) OR (W.util_id != 255102 AND W.type_id = 2)) AND (`post_util_id` = 255102 OR `dest_util_id` = 255102) AND buy_stripe_pi_id != '' AND buy_stripe_pi_id IS NOT NULL

  25. 0.0001

    SELECT ROUND(AVG(note), 1) AS note_moy, COUNT(note) AS nb_avis FROM `note` WHERE dest_util_id=255102 AND note_visu IN (1,3,4)

  26. 0.0001

    SELECT M.match_step FROM `match` AS M LEFT JOIN wish AS W ON W.wish_id = M.wish_id WHERE ((W.util_id = 181806 AND W.type_id = 1) OR (W.util_id != 181806 AND W.type_id = 2)) AND (`post_util_id` = 181806 OR `dest_util_id` = 181806) AND buy_stripe_pi_id != '' AND buy_stripe_pi_id IS NOT NULL

  27. 0.0001

    SELECT ROUND(AVG(note), 1) AS note_moy, COUNT(note) AS nb_avis FROM `note` WHERE dest_util_id=181806 AND note_visu IN (1,3,4)

  28. 0.0001

    SELECT ssrubr_slug, ssrubr_mail, ssrubr_mail_bis, ssrubr_keywords, ssrubr_bt2, cate_title_slug, fami_url, ssrubr_photo FROM ssrubr ssr, category c, family f WHERE ssr.cate_id=c.cate_id AND c.fami_id=f.fami_id AND ssr.ssrubr_id='694' LIMIT 0,1

  29. 0.0001

    SELECT M.match_step FROM `match` AS M LEFT JOIN wish AS W ON W.wish_id = M.wish_id WHERE ((W.util_id = 255102 AND W.type_id = 1) OR (W.util_id != 255102 AND W.type_id = 2)) AND (`post_util_id` = 255102 OR `dest_util_id` = 255102) AND buy_stripe_pi_id != '' AND buy_stripe_pi_id IS NOT NULL

  30. 0.0002

    SELECT abo_id FROM util_abo WHERE abo_type=4 AND abo_actif=1 AND abo_expire>SYSDATE() AND util_id = 255102

  31. 0.0001

    SELECT ssrubr_slug, ssrubr_mail, ssrubr_mail_bis, ssrubr_keywords, ssrubr_bt2, cate_title_slug, fami_url, ssrubr_photo FROM ssrubr ssr, category c, family f WHERE ssr.cate_id=c.cate_id AND c.fami_id=f.fami_id AND ssr.ssrubr_id='694' LIMIT 0,1

  32. 0.0001

    SELECT M.match_step FROM `match` AS M LEFT JOIN wish AS W ON W.wish_id = M.wish_id WHERE ((W.util_id = 181806 AND W.type_id = 1) OR (W.util_id != 181806 AND W.type_id = 2)) AND (`post_util_id` = 181806 OR `dest_util_id` = 181806) AND buy_stripe_pi_id != '' AND buy_stripe_pi_id IS NOT NULL

  33. 0.0002

    SELECT abo_id FROM util_abo WHERE abo_type=4 AND abo_actif=1 AND abo_expire>SYSDATE() AND util_id = 181806

  34. 0.0003

    SELECT ssrubr_id, ssrubr_title, ssrubr_slug, ssrubr_photo, cate_title_slug FROM ssrubr ss, category c WHERE ss.cate_id=c.cate_id AND ssrubr_visu=1 AND ss.cate_id=207 AND ss.fami_id=5 ORDER BY ssrubr_order LIMIT 6,100

  35. 0.0001

    SELECT ss.fami_id, fami_url, ss.cate_id, cate_title_slug, keywords_title FROM `ssrubr_keywords` sk, ssrubr ss, category c, family f WHERE sk.ssrubr_id=ss.ssrubr_id AND ss.cate_id=c.cate_id AND c.fami_id=f.fami_id AND (ssrubr_slug='cafetière' OR ssrubr_slug like '%cafetière%' OR MATCH (ssrubr_slug) AGAINST ('(+cafetière)')) AND sk.ssrubr_id='694' AND keywords_visu=1 ORDER BY keywords_nb DESC, keywords_id ASC LIMIT 0,10

  36. 0.0001

    SELECT * FROM actu WHERE ssrubr_id='694' AND actu_niveau=0 ORDER BY actu_ordre DESC

  37. 0.0008

    SELECT AVG(note) as note_moy FROM note WHERE note_visu IN (1,2,3,4) AND post_util_id<>7

  38. 0

    SELECT count(*) as nbwish FROM wish

  39. 0.0461

    SELECT note.*, post.util_prenom as postp, post.util_nom as postn, dest.util_prenom as destp, dest.util_nom as destn, w.wish_id, w.wish_desc, w.fami_id FROM note, util_info dest, util_info post, wish w WHERE note.wish_id=w.wish_id AND note.post_util_id=post.util_id AND note.dest_util_id=dest.util_id AND note_visu IN (1,2,3,4) AND post_util_id<>'7' ORDER BY note_date DESC, note_hour DESC

39 requetes sql en 0.1357

Taille variable Globale : 75.16 KB